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āļāļąāļāļĐāļ°:
Excel, Statistics, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ25,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare regular recruitment reports (daily / weekly / monthly / ad-hoc) to track hiring progress and performance.
- Extract and consolidate data from internal systems.
- Build and maintain Excel dashboards using formulas, logic, and data validation.
- Ensure accuracy and consistency of recruitment data across trackers and reports.
- Support TA team with interview scheduling coordination and recruitment administration.
- Monitor key recruitment metrics (e.g., pipeline status, time-to-hire, offer tracking).
- Assist in maintaining candidate databases and documentation.
- Identify opportunities to improve reporting processes and data workflows.
- Provide operational support to ensure smooth end-to-end recruitment processes.
- QualificationsBachelor s degree in HR, Business Administration, Statistics, or related field.
- 0-2 years of experience in HR, recruitment coordination, data reporting, or admin support.
- Strong Excel skills (e.g., pivot tables, lookups, logical formulas, basic dashboarding).
- Comfortable working with data and numbers with high attention to detail.
- Ability to extract and interpret data from reporting tools (Power BI exposure preferred).
- Good organizational and time management skills.
- Proactive mindset and willingness to learn.
- Preferred Skills (Nice to Have)Experience supporting recruitment or HR operations.
- Basic understanding of recruitment metrics or HR processes.
- Familiarity with ATS or HR systems.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
7 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Procurement, Legal, English, French
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Advancing Gender-Responsive Business Conduct and Creating More Decent Work Opportunities (WEPs).
- Accelerating Gender-Responsive Entrepreneurship for (M)SMEs (i.e. Gender-Responsive Procurement & strengthening women s entrepreneurship).
- Progressing Safe Migration to Decent Employment.
- Transforming Care Systems.
- WE RISE Together (WRT) - Advancing gender-responsive procurement in the Mekong sub-region is a four-year Mekong-Australia Partnership (MAP) project developed by UN Women. It sits under MAP s Economic Resilience Fund (MAP-ERF) and addresses its four drivers of resilience (including macroeconomic, household, business, and government resilience). The project responds to the prioritisation of women s economic empowerment by expanding market access for Women-owned Businesses 1 (WOBs) and Gender Responsive Enterprises 1 (GREs) through procurement opportunities.
- WRT tackles the structural gender inequities that exist within the global procurement market in which WOBs secure only one per cent of spending worldwide. 2 By introducing and advancing increased market access through gender-responsive procurement 1 (GRP), WRT operates with the overall objective to empower more women to equally access, lead, and benefit from expanded market opportunities in the Mekong subregion.
- Outcome 1: Increased awareness and commitment towards GRP at the ecosystem level & and more gender-responsive institutions through the collection of sex-disaggregated data & improved national data infrastructure.
- Outcome 2: Strengthened national policies and public procurement systems that are aligned with Mekong and ASEAN frameworks.
- Outcome 3: Increased market connections and opportunities for WOBs and GREs.
- A core objective of WE RISE Together (WRT), and UN Women s broader Women s Economic Empowerment (WEE) portfolio, is to strengthen enabling environments that expand women s economic participation, including women with disabilities and other marginalized or underrepresented groups. Across the Mekong subregion, business registration/licensing systems are often a key administrative source for identifying formal enterprises and linking them to markets, government services, and procurement systems. However, these administrative registers typically do not collect sex-, disability-, or other intersectionally disaggregated characteristics at the enterprise or owner level, and data are frequently fragmented across multiple administrative agencies. As a result, statistical systems face limitations in reliably identifying women-owned and other inclusive enterprises, producing supplier-diversity indicators, and supporting the monitoring and evaluation of gender-responsive procurement (GRP) policies.
- The consultant will be reporting to Gender Statistics Specialist in the Women s Economic Empowerment Section at the UN Women Regional Office for Asia and the Pacific, and will be supported by Statistics Specialist, who will be the point of contact on the contract and payment issues. In close coordination with UN Women and national stakeholders, the consultant will conduct a diagnostic assessment of data ecosystems, including data governance, for the production of business statistics in official statistics in four select countries in the region, namely Cambodia, Lao PDR, Thailand, and Viet Nam. The diagnostic assessment will also include the identification of challenges and opportunities for integrating gender, disability and intersectionality in business statistics and gender-mainstreaming in the production of business statistics in contexts at different level of statistical maturity.
- Institutional and governance arrangements for the production of business statistics and related administrative data management.
- Administrative workflows and current processes for business registration, including complexity, duplication of steps/documentation, and resulting burdens on MSMEs. The assessment will examine accessibility and inclusion barriers (legal, administrative, digital, language, and service delivery) that may disproportionately affect women, persons with disabilities, and other marginalized groups;.
- Interoperability and data exchange among business registries and adjacent systems (e.g., tax, licensing, statistics, SME support platforms, and procurement systems);.
- Identification of current data sources for business statistics and the feasibility for sex-disaggregation, disability-disaggregation, and intersectionality analysis;.
- Practical reform pathways aligned with global guidance and national priorities (e.g., GRP, SME development, digital government).
- The mapping is intended as a diagnostic (not a full IT system redesign), producing actionable recommendations and country-level options to inform subsequent capacity development and guidance development under the WRT programme.
- Description of Responsibilities/ Scope of Work.
- A. Work planning and methodological design: co-develop an inception note outlining the proposed methodology, assessment framework, tools/checklists, coordination mechanisms and stakeholder engagement plan, validation approach, timeline, and risk mitigation measures.
- In coordination with UN Women regional and country teams, review existing statistical tools to assess the maturity level of data ecosystems to produce business statistics in official statistics and develop a module for assessing the capacity of national data ecosystems to produce business statistics disaggregated by gender, disability and other intersectionality lens.
- Conduct a desk review of relevant national documentation, including legal and regulatory frameworks for the production and use of business statistics, institutional mandates, public guidance on registration procedures, any existing registry modernization initiatives, and any other sources for producing business statistics in four select countries. The desk review should include a mapping of the current business registration workflow in each country, including (as applicable) steps for registration, licensing, tax registration, renewal/updates, deregistration, and data-sharing arrangements. Using the mapping tools above identified, conduct stakeholder interview (remote and/or in-country as agreed) with key national stakeholders, which may include: business registration authority, ministries of commerce/finance/planning/digital development, tax authority, national statistics office, procurement agency/platform administrators, SME promotion agencies, women s machineries, business associations, WOB networks, civil society organizations, and organizations of persons with disabilities (OPDs).
- Assess the feasibility of the data ecosystem for using available data to set up gender-responsive digital business platforms.
- Produce a structured overview of the business registry data model, including core variables captured, metadata/definitions (where available), update frequency, and data governance considerations.
- Validate key findings through targeted check-ins with national focal points and UN Women country teams; document points of agreement and contested issues.
- D. GEDSI and accessibility analysis: Assess whether and how registration systems capture sex-disaggregated and disability-related data, and identify administrative and accessibility barriers affecting women entrepreneurs, persons with disabilities, and other marginalized groups (e.g., documentation requirements, time/cost burdens, travel/mobility constraints, digital barriers, language barriers, service design, accessibility of one-stop shops).
- E. Interoperability and policy-use assessment: Assess interoperability and coordination across systems (registry-tax-licensing-statistics-procurement), including presence and use of UBIs or other unique identifiers; data exchange protocols and governance.
- feasibility of linking registry data to procurement/supplier databases for GRP monitoring.
- Draft country diagnostic summaries and a cross-country synthesis report including prioritized recommendations, feasibility considerations, and proposed entry points linked to GRP, SME development, and digital government agendas.
- Identify gaps and practical options to strengthen data governance, interoperability, and administrative coordination, including quick wins and medium-term reforms.
- Develop presentation materials and present findings to UN Women, and relevant stakeholders (e.g., for internal validation and/or regional workshop preparation), incorporating feedback into final outputs.
- Deliverables.
- The consultant is expected to deliver the outputs below to UN Women, in formats agreed at inception (Word + PPT; annexes in Excel/diagram formats as relevant). All deliverables should reflect a consistent structure across countries to support comparability and should integrate GEDSI considerations throughout.
- Inception packageInception note (methodology, framework, tools, timeline).
- Stakeholder map and consultation plan (by country).
- Mapping tools (interview guides, checklists, templates), including a module on GEDSI in business statistics.
- Country Mapping & Diagnostic Outputs (Cambodia, Lao PDR, Thailand, Viet Nam)Country diagnostic summary report including:Governance, institutional and legal mapping.
- System map - workflow and administrative burden analysis.
- Assess the availability and quality of data sources following international recommendations, including the UN Guidelines on Statistical Business Registers, the UN National Quality Assurance Framework as well as more specific guidance on the quality assessment of administrative data sources.
- GEDSI and accessibility assessment (sex/disability/intersectional visibility and barriers).
- Interoperability assessment (registry-tax-licensing-statistics-procurement linkages).
- Feasibility assessment of data uses for digital business platforms.
- Prioritized recommendations at country level (short-/medium-term) and feasibility notes.
- Identification of potential data uses for evidence-informed decision making in each country.
- Comparative analysis across the four countries (common bottlenecks, opportunities, and enabling conditions)..
- Presentation and briefing materialsCountry briefs summarizing findings of country assessments/mapping and recommendations for developing country action plans as per agreed template with UN Women.
- Slide deck of country briefs.
- Country Action PlansFacilitate four country technical sessions on business statistics and gender during a technical workshop to support countries developing an action plan for producing and using business statistics to advance women s economic empowerment in select countries.
- In close collaboration with UN Women and national stakeholders, draft four Country Action Plans.
- Deliverable
- Expected completion time (due day).
- Inception Package which includes.
- Inception note detailing methodology, analytical framework, tools, timeline, and quality assurance approach;.
- Stakeholder map and consultation plan by country;.
- Mapping tools (interview guides, checklists, templates), including a GEDSI module for business statistics (sex/disability/intersectional considerations, accessibility prompts, ethics/privacy considerations where relevant).
- 15 March 2026.
- Country diagnostic summary report for Cambodia, Lao PDR, Thailand, Viet Nam covering.
- Governance, institutional and legal mapping.
- System map - workflow and administrative burden analysis.
- Assess the availability and quality of data sources following international recommendations, including the UN Guidelines on Statistical Business Registers, the UN National Quality Assurance Framework as well as more specific guidance on the quality assessment of administrative data sources.
- GEDSI and accessibility assessment (sex/disability/intersectional visibility and barriers).
- Interoperability assessment (registry-tax-licensing-statistics-procurement linkages).
- Feasibility assessment of data uses for digital business platforms.
- Prioritized recommendations at country level (short-/medium-term) and feasibility notes.
- Identification of potential data uses for evidence-informed decision making in each country.
- Comparative analysis across the four countries (common bottlenecks, opportunities, and enabling conditions).
- 1 May 2026.
- Country briefs (x4) summarizing findings and recommendations to inform development of country action plans (per UN Women template);.
- Slide deck compiling country briefs and highlighting cross-country insights, priorities, and recommended pathways.
- 15 July 2026.
- Four Country Action Plans on producing and using business statistics to advance women s economic empowerment (priorities, roles, timeline, capacity needs, and next steps).
- 15 September 2026.
- Consultant s Workplace and Official Travel.
- This is a home-based consultancy. As part of this assignment, there will be a maximum of 2 trips to Bangkok, Thailand. Travel will be managed following UN Women travel policy.
- Integrity;.
- Professionalism;.
- Respect for Diversity.
- Awareness and Sensitivity Regarding Gender Issues;.
- Creative Problem Solving;.
- Effective Communication;.
- Inclusive Collaboration;.
- Stakeholder Engagement;.
- Leading by Example.
- Technical credibility in the field of statistics.
- Excellent analytical skills.
- Excellent communication and negotiation skills.
- Ability to lead formulation of strategies and their implementation.
- Strong networking and partnership building skills.
- Advanced university degree in Economics, Statistics, Mathematics.
- A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.
- At least 7 years of progressively responsible work experience in business statistics and administrative data ecosystems for producing business statistics is required.
- Experience in the use of statistical business registers at the national or regional level is desirable.
- Experience in conducting gender analysis in different areas with expertise on GEDSI assessments is an advantage.
- Familiarity with Mekong country context i.e. legal frameworks, stakeholders related to women economic empowerment is an advantage.
- Strong understanding of women s economic empowerment or procurement system is desirable.
- Familiarity with international frameworks (e.g., CEDAW, CRPD, SDGs) is desirable.
- A strong understanding of a rights-based approach to disability and experience in working in partnership with persons with disabilities and facilitating accessible and inclusive consultations is desirable.
- Familiarity with the UN system is an asset.
- Excellent analytical skills with strong drive for results and capacity to work independently.
- Excellent English communication and writing skills; (Samples of previous work will be required.).
- Fluency in English is required.
- Knowledge of French or any other UN official language is an asset.
- In July 2010, the United Nations General Assembly created UN Women, the United Nations Entity for Gender Equality and the Empowerment of Women. The creation of UN Women came about as part of the UN reform agenda, bringing together resources and mandates for greater impact. It merges and builds on the important work of four previously distinct parts of the UN system (DAW, OSAGI, INSTRAW and UNIFEM), which focused exclusively on gender equality and women's empowerment.
- At UN Women, we are committed to creating a diverse and inclusive environment of mutual respect. UN Women recruits, employs, trains, compensates, and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, ability, national origin, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, competence, integrity and organizational need.
- If you need any reasonable accommodation to support your participation in the recruitment and selection process, please include this information in your application.
- UN Women has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UN Women, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. All selected candidates will be expected to adhere to UN Women s policies and procedures and the standards of conduct expected of UN Women personnel and will therefore undergo rigorous reference and background checks. (Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.).
- Note: Applicants must ensure that all sections of the application form, including the sections on education and employment history, are completed. If all sections are not completed the application may be disqualified from the recruitment and selection process.
āļāļąāļāļĐāļ°:
Statistics, Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Fluency in English, including writing.
- Additional InformationNot available. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS BANK ACCOUNTS.
āļāļąāļāļĐāļ°:
Project Management, Power BI, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāđāļāļĨāļ·āđāļāļāđāļāļĢāļāļāļēāļĢ (Project Management) āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāđāļāļĢāļāļāļēāļĢāđāļŦāđāļāļĢāļĢāļĨāļļāđāļāđāļēāļŦāļĄāļēāļĒāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāđāļāđ Power BI āđāļāļ·āđāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļļāļĢāļāļīāļ āļāļĢāļāļāļāļĨāļļāļĄāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāđāļāļĢāđāļĄāļāļąāđāļ āļĢāļ§āļĄāļāļķāļāļāļģāđāļĢāđāļĨāļ°āļāļēāļāļāļļāļ (Profit & Loss).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļ āļŠāļēāļĄāļēāļĢāļāļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨ āļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄ āđāļĨāļ°āđāļŦāđāđāļŦāļāļļāļāļĨāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāđāļĨāļ°āđāļāđāļāļĢāļ°āļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļāļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļĨāļ°āļāļēāļĢāđāļāļīāļāđāļāļāļēāļāļāļļāļĢāļāļīāļ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļē āļāļĪāļāļīāļāļĢāļĢāļĄāļāļđāđāļāļĢāļīāđāļ āļ āđāļāļ§āđāļāđāļĄāļāļĨāļēāļ āđāļĨāļ°āļāđāļāļĄāļđāļĨāļāļđāđāđāļāđāļ āđāļāļ·āđāļāļĢāļ°āļāļļāđāļāļāļēāļŠāļāļēāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļŠāļĢāđāļēāļāļāļ§āļēāļĄāđāļāđāđāļāļĢāļĩāļĒāļāļāļēāļāļāļēāļĢāđāļāđāļāļāļąāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĢāļ°āļāļ·āļāļĢāļ·āļāļĢāđāļāđāļāļāļēāļĢāļāļģāļāļēāļ āļĄāļĩāļāļ§āļēāļĄāđāļāđāļāđāļāđāļēāļāļāļāļāļēāļ āļāļĢāđāļāļĄāļĨāļāļĄāļ·āļāļāļāļīāļāļąāļāļīāļāļĢāļīāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļ§āļēāļĄāļāđāļēāļāļēāļĒāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļāļēāļ āļāļĢāđāļāļĄāļāļąāļāđāļāļĨāļ·āđāļāļāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāļāļĢāļĢāļĨāļļāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒāđāļĨāļ°āļāļąāļ§āļāļĩāđāļ§āļąāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ (KPI) āļāļĩāđāļāļģāļŦāļāļāđāļ§āđ.
- āļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļ·āđāļāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĒāļāļāļāļēāļĒ āđāļĨāļ°āļāļ·āđāļāļāļēāļāļāđāļēāļāļāļēāļĢāļāļĨāļēāļ..
- āļŦāļāđāļēāļāļĩāđāđāļĨāļ°āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŦāļĨāļąāļ (Key Responsibilities)āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļđāļĢāļāļēāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļēāļāļŦāļĨāļēāļāļŦāļĨāļēāļĒāđāļŦāļĨāđāļ āđāļāđāļ āļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļē āļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āļāđāļāļĄāļđāļĨāļāļđāđāđāļāđāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļāļāļēāļĢāļĢāļīāđāļĢāļīāđāļĄāđāļĨāļ°āļāļąāļāļāļēāđāļāļĢāļāļāļēāļĢ.
- āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļĨāļ°āđāļāļāļēāļŠāļāļ§āļēāļĄāļŠāļģāđāļĢāđāļāļāļāļāđāļāļĢāļāļāļēāļĢ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāđāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļ āļāļĢāļąāļāđāļāļīāđāļĄ āļŦāļĢāļ·āļāļĨāļāļĢāļđāļāđāļāļāđāļāļĢāļāļāļēāļĢāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļāļāļļāļĢāļāļīāļ.
- āđāļāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļāļēāļĢāļāļēāļāļāļēāļĢāļāđāļāļĨāļĨāļąāļāļāđāļāļāļāđāļāļĢāļāļāļēāļĢ (Performance & Outcome) āđāļĨāļ°āļāļąāļāļāļģāļāđāļāđāļŠāļāļāđāļāļ°āđāļāļīāļāļāļĨāļĒāļļāļāļāđāļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļīāļāļāļēāļĄ āļ§āļąāļāļāļĨ āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļŠāļģāđāļĢāđāļāļāļāļāđāļāļĢāļāļāļēāļĢ āļāļĢāđāļāļĄāļŠāļĢāļļāļāļāđāļāļāđāļāļāļāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āđāļāļ·āđāļāļāļēāļĢāļāļąāļāļāļēāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāđāļāļĨāļ·āđāļāļāđāļāļĢāļāļāļēāļĢāļŦāļĨāļąāļ Service Champion āđāļāļ·āđāļāļĒāļāļĢāļ°āļāļąāļāļāļļāļāļ āļēāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢāļāļāļāļāļāļąāļāļāļēāļ āđāļĨāļ°āļŠāļĢāđāļēāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĩāđāļāļĩāđāļāđāļĨāļđāļāļāđāļē..
- āļāļļāļāļŠāļĄāļāļąāļāļī (Qualifications)āļŠāļģāđāļĢāđāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāđāļāļŠāļēāļāļē Data Science, Statistics, Computer Engineering, Information Technology, Data Management āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāđāļēāļ Data Analytics, Business Intelligence āļŦāļĢāļ·āļ Data Strategy āļāļĒāđāļēāļāļāđāļāļĒ 8-12 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāđāļēāļāļāđāļāļĄāļđāļĨ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļāļĢāļāļāļēāļĢāļāđāļēāļāļāļĨāļĒāļļāļāļāđāļāđāļāļĄāļđāļĨāļāļĒāđāļēāļāļāđāļāļĒ 3-5 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļļāļĢāļāļīāļāļāđāļēāļāļĨāļĩāļ āļĢāđāļēāļāļāļēāļŦāļēāļĢ āļāļļāļĢāļāļīāļāļāđāļģāļĄāļąāļ āļŦāļĢāļ·āļāļāļļāļĢāļāļīāļāļāļēāļŦāļēāļĢāđāļĨāļ°āđāļāļĢāļ·āđāļāļāļāļ·āđāļĄ (F&B) (āļāļļāļāļŠāļĄāļāļąāļāļīāļāļģāđāļāđāļ).
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāļāļēāļāļŦāļĨāļēāļĒāļāđāļēāļāļāļĢāđāļāļĄāļāļąāļ (Multitasking) āļĄāļĩāļ āļēāļ§āļ°āļāļđāđāļāļģ āđāļĨāļ°āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļīāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āđāļāļīāļāļĢāļ°āļāļ āđāļāļĒāļŠāļēāļĄāļēāļĢāļāđāļāļ·āđāļāļĄāđāļĒāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāđāļāđāļēāļāļąāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļļāļĢāļāļīāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļēāļĒāļļāļĢāļ°āļŦāļ§āđāļēāļ 32 - 38 āļāļĩ āđāļĄāđāļāļģāļāļąāļāđāļāļĻ (āļāļļāļāļŠāļĄāļāļąāļāļīāļāļģāđāļāđāļ).
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāđāļāđ Power BI āļĢāļ§āļĄāļāļķāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļĨāļ°āđāļāļĢāđāļāļĢāļĄāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļ·āđāļ āđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ (āļāļļāļāļŠāļĄāļāļąāļāļīāļāļģāđāļāđāļ).
- āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĄāļēāđāļāđāđāļāļāļēāļĢāļāļĢāļ°āļĄāļ§āļĨāļāļĨ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāđāļāļīāļāļĨāļķāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāļāļēāļāļāļļāļĢāļāļīāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ āļāļēāļĢāļŠāļĢāđāļēāļāļĢāļēāļĒāļāļēāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļĢāļđāļāđāļāļāļāļĩāđāļāļąāļāđāļāļ āđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāļāļēāļĄāļāļāļŦāļĄāļēāļĒ.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļāļīāļāļąāļāļīāļāļēāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Analytical Thinking, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Partner directly with business stakeholders across Shopee Thailand to solve analytical problems and inform decision-making.
- Design and analyze experiments (A/B tests), including hypothesis formulation, metric definition, impact evaluation, and interpretation.
- Build and apply classical data science and statistical models (e.g. regression, tree-based models, forecasting) to support business use cases such as promotions, marketing, logistics, and operations.
- Deliver clear, actionable insights and recommendations through presentations and discussions with stakeholders.
- Develop lightweight data science solutions, including batch inference and API-based model usage (e.g. LLM APIs), where appropriate.
- Manage multiple projects simultaneously in a fast-paced, dynamic environment.
- Requirements: Bachelor s or Master s degree in Statistics, Data Science, Computer Engineering, Computer Science, Econometrics, or a related quantitative field.
- 2-5 years of experience in data analytics, data science, or quantitative modeling roles.
- Self-motivated with strong analytical thinking and business acumen.
- Strong foundation in probability, statistics, machine learning, and AI.
- Proficiency in SQL and Python, with solid coding skills for data manipulation, modeling, and deployment.
- Experience with experimentation and A/B testing frameworks.
- Excellent English communication skills, with the ability to independently present and discuss insights with stakeholders.
- Strong collaborator who can manage multiple priorities in a fast-paced environment.
- Experience in e-commerce, marketing data science, forecasting, or delivering LLM-driven solutions is a plus.
āļāļąāļāļĐāļ°:
Statistics, Excel, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
- To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
- Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
- Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
- Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
- Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
- Excellent communication skill both in Thai and English.
- Experience in programming and SQL.
- Able to work under pressure and with multiple stakeholders within limited timeline.
- Interested in new technologies / innovations.
- Master's degree in a quantitative discipline.
- At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
- Experience working on teams that managed large scale data projects.
- Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
- Conceptual, logical and physical data modeling, and data architecture knowledge.
- Visualization expertise in tools like Tableau and Power BI etc..
- PTG Energy Public Company Limited.
- 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
- Huaykwang, Bangkok 10310.
- www.ptgenergy.co.th.
āļāļąāļāļĐāļ°:
Business Development, Statistics, Analytical Thinking
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- PTG Energy is looking for a senior data leader to join our Data team, working closely with the CDO and business leaders to drive enterprise business impact through advanced analytics and customer insights.
- This role focuses on applying statistics, data science, and analytical thinking to solve complex business problems-driving growth, customer engagement, and strategic decision-making across PTG s diversified businesses, including Retail, Food & Beverage, Logistics, Services, and Energy.
- Lead high-impact data and analytics initiatives using customer, transaction, and operational data.
- Partner with senior stakeholders to translate advanced analytics into clear, actionable business decisions.
- Contribute to enterprise data & analytics strategy with a strong execution mindset.
- Identify and support new revenue and business opportunities through data-driven insights.
- 7-12 years of experience in data, analytics, or advanced analytics roles (strategy or consulting background is a plus).
- Strong grounding in statistics, data science, and analytical thinking.
- Proven experience delivering measurable business outcomes using data.
- Comfortable influencing senior leaders while remaining hands-on with analytics thinking.
- Backgrounds in Retail, Consumer, Platform, Consulting, or Financial Services are welcome.
- This is a data leadership role with strong business exposure, not a pure strategy or reporting position.
- This role operates as a senior player-coach and works closely with top management.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, ETL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
- Define and implement data flows through/ and around digital products.
- Participate in data modeling and testing to ensure smooth operations.
- Extract relevant data to solve analytical problems, and ensure development teams have the required data.
- Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
- Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
- Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
- Track analytics impact on business, and provide recommendation for better result.
- Monitor market watch, and provide recommendation to improve efficiency of current projects.
- Professional Knowledge & Experiences.
- Bachelor s Degree in computer science, statistics, or related technical discipline.
- 5+ years experience with advanced data management system and master data management.
- Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
- Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
- Clear understanding in different data domains of operations, customers, etc.
- Ability to quickly learn new technologies.
- Additional Desirable Qualification.
- CORE Competencies.
āļāļąāļāļĐāļ°:
Product Development, Research, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze strategic directions and identify opportunities for digital product development and optimization.
- Define and manage product roadmap for digital platforms (e.g., Max Me Application, Banking & Payment, Fleet Card, Retail, Digital Services).
- Conduct competitor analysis, market research, and customer research to enhance customer-centric experience.
- Utilize data analytics to drive product strategy, communication plans, and marketing campaign optimization.
- Technical Product Ownership.
- Translate business requirements into clear user stories and technical requirements.
- Manage and prioritize product backlog to ensure delivery of highest-value features.
- Oversee API integration requirements and collaborate on system architecture to ensure seamless data flow between platforms.
- Participate in system improvements, end-to-end process optimization, and solution implementation.
- MarTech & Data-Driven Execution.
- Select, implement, and manage MarTech tools to accurately track campaign performance and attribution.
- Monitor performance data continuously and recommend real-time improvements.
- Leverage data insights to support decision-making and product enhancements.
- Project & Stakeholder Management.
- Manage project scope, timeline, and budget from initiation through post-launch monitoring.
- Take ownership of issues and ensure timely resolution.
- Coordinate with cross-functional teams (IT, Marketing, Operations, Data, etc.) to ensure alignment and clarity of priorities.
- Bachelor s degree in Computer Science, Engineering, Data Science, Business IT, Economics, Statistics, or related fields.
- Minimum 5 years of experience as Product Owner / Product Manager / Technical Product Owner in Financial, Banking, Retail, or Digital Business.
- Strong understanding of API integration, system architecture concepts, and Agile methodology.
- Experience in data analytics and MarTech implementation is highly preferred.
- Strong skills in customer experience management, problem-solving, and cross-functional collaboration.
- Ability to balance business strategy with technical feasibility.
āļāļąāļāļĐāļ°:
Statistics, Data Analysis, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's or Master's Degree majoring in Business Administration, Statistics, Marketing or related field.
- Have experience Merchanidiser in Retail Business, FMCG at least 7-10 Years.
- Experience in Category Non-Food, Stationary, Books Store, Books Retail will be advantages.
- Strong Data analysis in Excel, if have experience in Power BI is a plus.
- Strong Presentation & Negotiation skill both in Thai and English.
- Good command in English.
- Project management skills.
āļāļąāļāļĐāļ°:
Budgeting, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assist CIO in setting up and leading Hattha Bank s IT Governance Framework and Operating Model to ensure good governance and perform continuous monitoring.
- Assist CIO in IT Governance and compliance activities at Hattha Bank.
- The governance areas should include, but not limited to Hattha Bank s IT Budgeting and Expense Monitoring, IT Sourcing and Procurement, Key IT project governance and resource monitoring, IT audit and compliance activities.
- Set up process for ongoing IT risk assessment and ensure corrective actions are performed in a timely manner.
- Identify opportunities to leverage on Krungsri on IT and Digital related activities.
- Enforce Krungsri s IT & Digital s Group Governance Framework in Hattha Bank.
- Regularly monitor and report to Krungsri on Key IT & Digital activities, resource utilization, and compliances.
- Assist CIO to drive Hattha Bank s IT and Digital related activities to accelerate and strengthen KS s international presence.
- Support Hattha Bank in achieving IT and Digital KPI.
- Act as centralized contact point for reporting and attending Krungsri Group IT Governance Committee.
- Able to take on other roles as assigned.
- Provide guidance, support, direction and motivation to team members to help them develop their skills and achieve potential.Collaborating with business leaders and other functions to transform the organization.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Management Information System, Computer Science, Computer Engineering, IT, Mathematics & Statistics Science, or related fields.
- 10 or more years in IT and Digital, Banking and/or financial institution. Worked in governance or managerial IT and Digital Position of a multicultural environment.
- 7 or more years in a management position.
- Have strong knowledge and background in Information Technology and Digital landscape related to financial and banking industry in Thailand and regionally..
- Strong knowledge in regulatory compliance, IT standards, risks, and corporate finance literacy.
- Strong understanding of license compliance and management is a plus.
- Experience in leading and motivating team.
- Strong verbal and written communications to both technical and non-technical audience.
- Willing to relocate.
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- Unbelievable benefits such as attractive bonuses and many more..
- Apply now before this role is close. **.
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth)..
āļāļąāļāļĐāļ°:
Statistics, Excel, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor or Master's degree in Statistics, Engineering, or MIS.
- Experience in Excel VBA, Python, Analytics and Modeling.
- Good in negotiation skill, presentation skill, interpersonal skill.
- Good logical thinking, integrity mindset, external focus and results oriented.
āļāļąāļāļĐāļ°:
Automation, Statistics, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare reports related to debt management, including portfolio performance, delinquency, and collection efficiency.
- Conduct data analysis to support collection strategies and reduce NPL.
- Develop and enhance MIS reports, dashboards, and automation tools.
- Ensure data accuracy and coordinate with Data, IT, and Collections teams.
- Support system enhancement projects related to Debt Management and Data Governance.
- Monitor key KPIs such as recovery rate, roll rate, provision, and write-off trends.
- QualificationsBachelor s degree in Data Analytics, Statistics, Finance, Economics, or related fields.
- Experience in Debt Management / Collection MIS / Credit MIS is preferred.
- Strong skills in SQL and advanced Excel; Power BI / Tableau / SAS is a plus.
- Detail-oriented with strong analytical skills.
- Good communication and ability to work with cross-functional teams.
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LinkedIn: Krungsri.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- (https://krungsri.com/b/privacynoticeen).
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Talent Acquisition Department.
- Bank of Ayudhya Public Company Limited.
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..
āļāļąāļāļĐāļ°:
Accounting, Statistics, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Currently pursuing a degree in Accounting, Statistics, Finance, or a related field.
- Strong project management, communication, and teamwork skills, with a high sense of ownership.
- Proficiency in Microsoft Excel and basic data analysis.
- A proactive mindset with a strong aptitude for learning and a positive, results-driven attitude.
- Preferred Qualifications.
- Prior internship of 3 to 6 months.
- Basic understanding of the internet and e-commerce advertising solutions or business operations.
- Comfortable working with data and demonstrating strong attention to detail.
- Ability to adapt quickly to changes and work independently with a high level of self-motivation.
- Strong analytical background with a data-driven mindset.
- By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. If you have any questions, please reach out to us at [email protected].
āļāļąāļāļĐāļ°:
Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze market trends, shopper behavior, and competitor activity to identify growth opportunities.
- Partner with key retailers to build Joint Business Plans (JBP) and conduct Quarterly Business Reviews (QBR) to drive category growth and profitability for both MT and TT channels..
- Support New Product Development (NPD) by providing category insights and post-launch performance reviews..
- Store Optimization & Tactical Execution.
- Define and optimize Product Assortment and Clustering strategies to ensure the right product mix for each store profile..
- Lead the development of Planograms and display guidelines to maximize shelf productivity, visibility, and brand consistency..
- Evaluate and recommend pricing and promotional strategies based on data-driven insights.
- Analytical Excellence & Reporting.
- Develop and maintain automated dashboards and analytical frameworks (Monthly Sell-out, Market Share) to track Business KPIs..
- Build "Best Practice" toolkits to improve the efficiency and accuracy of the category management department.
- Stakeholder Management & Influence.
- Present data-driven narratives to senior leadership and external retailers to influence category range, placement, and strategic investments.
- Collaborate closely with Commercial and Marketing teams to ensure category strategies align with overall business objectives.
- Education: Bachelor s or Master s degree in Business Administration, Marketing, Data Science, Statistics, or a related field..
- Experience: 5+ years of experience in Category Management, Trade Marketing, or Data Analytics (preferably in FMCG or Retail)..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Javascript, Statistics, Accounting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support IT audits across IT General Controls (ITGC), application controls, and basic cybersecurity/cloud reviews.
- Work under senior auditors to perform testing, document evidence, and help report findings. Examine and analyze internal controls and business risks, develop audit scopes/procedures, and prepare audit reports.
- Execute ITGC testing (access management, change management, operations, backup/recovery) and application control testing.
- Assess IT/network security architecture design (network platforms; JavaScript library YUI12).
- Advise and assist clients with implementing security frameworks (e.g., Information Security Management System - ISMS).
- Assess and provide advice on security technologies/configurations: firewalls, IDS/IPS, content filtering, network routing equipment, WiFi controllers, network access control (NAC), etc.
- Conduct network and web application penetration tests.
- Deliver security training classes or awareness programs.
- Bachelor s degree or above in MIS, Statistics, Accounting, or Computer Engineering, IT-related fields.
- 0-2 years of experience.
- Computer literacy and good command of English.
- Good analytical thinking, strong interpersonal and multi-tasking skills.
- Commitment to develop your talents and knowledge into new areas as well as to think creatively.
- Able to appreciate business process issues and understand business transaction scenarios, and how an application system (e.g., SAP, Oracle) can support them.
- Resourceful and able to workout technical solutions.
- Good appreciation of fundamental accounting knowledge and/or audit knowledge and financial controls.
- We thank all applicants. Please note that only short-listed candidates will be contacted for interviews.
- Education (if blank, degree and/or field of study not specified).
- Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
- Required Skills.
- Optional Skills.
- Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Client Management, Communication, Compliance Program Implementation, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, External Audit, Financial Reporting, Generally Accepted Auditing Standards (GAAS), Governance Framework, Inclusion, Information Security, Intellectual Curiosity {+ 17 more}Desired Languages (If blank, desired languages not specified).
- Travel Requirements.
- Available for Work Visa Sponsorship?.
- Government Clearance Required?.
- Job Posting End Date.
āļāļąāļāļĐāļ°:
Statistics, Production planning, Teamwork
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Monitor and control inventory levels to ensure the right stock at the right time.
- Coordinate with customers and suppliers to ensure smooth product flow and delivery.
- Track slow-moving items, excess stock, and products close to expiry.
- Manage product complaints and ensure proper FEFO stock rotation.
- Handle unexpected issues such as shipment delays or demand fluctuations.
- Join regular meetings with customers to align forecasts and review KPIs.
- Monitor key supply chain KPIs such as inventory days, stock value, expiry, and delivery performance.
- Support promotional activities and clear leftover materials after campaigns.
- Participate in annual budget preparation and physical stock counts.
- Monitor supplier performance and work with teams to resolve issues.
- Bachelor s degree in Engineering, Mathematics, Statistics, or related fields.
- 1-2 years of experience in material planning, production planning, demand planning, or purchasing.
- Strong organizational, analytical, and problem solving skills.
- Good communication and teamwork skills, especially with customers and suppliers.
- Knowledge of warehouse management or procurement is an advantage.
- Proactive, eager to learn, and able to work under pressure.
- āļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļģāđāļāđāļāļāđāļāļāļāđāļēāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļēāļĄāļŦāļĨāļąāļāđāļāļāļāđāļāļĩāđāļāļĢāļīāļĐāļąāļāļāļģāļŦāļāļ **.
āļāļąāļāļĐāļ°:
Contracts, Statistics, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Ensure Safe operations for QC Operators and contribute to eliminate unsafe conditions in area of responsibility.
- Deploy 5S Standard.
- Management Act as a key ambassador to develop Quality awareness throughout DM organization following standards defined at Dextra Group level.
- Lead local QC team to deliver outstanding quality products and services to DM customers.
- Monitor and report company quality KPI (complaints, non-conformities, rejected raw materials, rejected finished goods).
- Manage his team to achieve company objectives in terms of quality and customer satisfaction.
- Organize for each team member specific tasks and responsibilities as per company and department objectives.
- Set up individual KPIs and clear objectives according to Dextra Performance Management System (Conduct Mid year appraisals and year-end performance reviews).
- Develop continuous improvement plan to reduce non-quality cost.
- Ensure team members are qualified to perform all planned quality control activities.
- Propose and follow-up development action plans when needed.
- Plan QC department annual budget and manage it.
- Quality Management Review, comment and advise sales about the quality requirements of the client s enquiries.
- Review and validate the requirements related to quality and control in Dextra offers.
- Review quality and control requirements in purchase contracts in collaboration with the sourcing department.
- Provide quality documents such as generic test reports or inspection and test plans for the submission files.
- Actively participate during the quality audits.
- Identify material, product and process key points to inspect in relation with other departments.
- Use statistical approach to determine level of inspection (ISO2859).
- Plan inspection: inspectors allocation, inspection location, schedule, tools, methods.
- Issue inspection Work Instruction and Test Plans.
- Apply and follow up the inspection plan.
- Ensure accuracy and quality of inspections.
- Trigger and follow up controls wherever required (at supplier s site, at Dextra factories, at customer sites).
- Contact and coordinate with external parties (suppliers, Testing inspection and certification companies, custonmers).
- Issue NCRs and maintain statistics (suppliers records, scrap reports).
- Investigating non-conformities and complete root cause analysis to minimize risks and impact on Quality, Cost and Delay for company.
- Issue accurate reports and certificate of compliance.
- Lead to solve the potential quality issues encountered by the customers.
- Support the technical resolution of problems thanks to statistical and technical reports.
- Liaise with other departments (sales, production planning) and customers for solving Quality matters.
- Ensure compliance with product certification and customer requirements.
- Manage measuring tools, including maintenance and calibration.
- Continuous improvement Gather and analyze quality control data to evaluate system/process effectiveness.
- Work with production teams to identify areas of process improvement and recommend corrective actions.
- Propose actions, tools, systems, procedures and animate small group activities (quality circles) for avoiding repeating nonconformities and improving quality KPIs.
- Propose/review/adjust QC Work Instructions, procedures and Production Quality Manual.
- Review, optimize and maintain quality parameters set-up in ERP.
- Nuclear Safety Ensure that nuclear safety is considered in decision making and actions, and that it always takes precedence over any other consideration.
- Use a balanced, rigorous, and prudent approach to decision making with respect to quality, cost, and schedule such that nuclear safety is never compromised.
- Ensure that involved personnel understand not only their own responsibilities and the consequences of mistakes, but also those of their immediate colleagues and how these responsibilities complement each other.
- Ensure that key operational and technical positions are filled by competent and knowledgeable persons, and that they are empowered to speak openly.
- Take prompt conservative and preventive actions when an incident that could affect nuclear safety is reported, even if not yet fully understood or documented.
- Communicate transparently to your direct reporting any issue which might compromise nuclear safety.
- Qualifications Requirements: Bachelor s degree in engineering i.e. Civil or Mechanical, Industrial or Material Science, or related field.
- 10 years experience in designing and leading Quality Control system & tools.
- Experience in manufacturing environment, continuous process and assembly.
- Fluent (written and spoken) and capable of exchanging with international customer representatives.
- MS Powerpoint and ERP systems.
- AutoCAD.
- Strong motivation and level of energy, change management and result driven, service minded, well organized, teamwork and good interpersonal skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Product Development, Publishing, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Department: Marketing.
- Company: āļāļĢāļīāļĐāļąāļ āļāļĩāđāļāđāļĄāđāļāđāļĄ āļĄāļīāļ§āļŠāļīāļ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ).
- Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
- Identify correlations across diverse data sources to perform a thorough analysis.
- Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
- Perform data visualization and reporting to communicate insights effectively..
- Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
- At least 3 years of experience in data management and development.
- Advanced skills in Excel or Google Sheets.
- Previous experience with Power BI, Google Data Studio, or dashboards.
- Basic familiarity with tools such as Fanpage Karma or Supermetrics.
- Ability to manage and integrate data from multiple sources.
- Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 1 āļāļĩāļāļķāđāļāđāļ.
- āļāļģāļāļ§āļ 1 āļāļąāļāļĢāļē.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, GraphQL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bridging business requirements with technical feasibility across multiple domains.
- Translating ambiguous business problems into clear technical specifications and data models.
- Working end-to-end: requirement gathering, solution design, modeling, API/services, and platform integration.
- Communicating with cross-functional teams (domain experts, business, data, infra, product).
- Turning business objectives into data-driven solutions with clear problem statements and measurable outputs.
- Handling messy, incomplete, or unstructured data and transforming it into usable features or insights.
- Deploying models into production with reliability, performance, and maintainability.
- Integrating ML solutions into full-stack systems (APIs, backend logic, dashboards).
- Qualifications:Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
- 3-5 years of experience as a Data Scientist or related roles.
- Experience in Data Science & Machine Learning, NLP, LLM & RAG, Software Engineering & Systems, and Business & Analytical Competencies.
- Skilled in algorithms and data structures, clean OOP-based architecture, REST/GraphQL APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP/Azure).
- Good communication, coordination, and problem-solving skills.
- Willing to work in an on-site mode at SCG Headquarters, Bangsue, Bangkok.
- Contact: Pupat (Mac) Email: [email protected]
- 1
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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