เงื่อนไขการค้นหา

ทักษะ:

Assurance, Compliance

ประเภทงาน:

งานประจำ

• Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
• Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
• Develop appropriate QA measures to minimize revenue loss and operational errors.
• Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
• Collaborate with relevant departments to address and rectify issues impacting revenue.
• Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
• Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
• Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
• Prepare analysis reports to support management in strategy formulation and risk assessment.

ทักษะ:

Excel, Python, Power BI

ประเภทงาน:

งานประจำ

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

ประเภทงาน:

งานประจำ

• Collect and organize data from various sources, Ensure the accuracy, completeness, and consistency of data for analysis
• Maintain and update datasets, ensuring that they remain current and relevant.
• Apply statistical techniques and data analysis methods to interpret complex datasets.
• Identify trends, patterns, correlations, and anomalies within the data that can inform business decisions.
• Use data visualization tools (e.g., Tableau, Power BI, or Excel) to create interactive charts, dashboards, and graphs that present key insights.
• Communicate findings clearly through visual representation, making complex data easier to understand for non-technical stakeholders.
• Prepare and present reports summarizing data analysis, trends, and recommendations.
• Create regular performance reports, including key performance indicators (KPIs), to track business performance.
• Identify business problems that can be addressed through data analysis.
• Provide actionable insights and recommendations to improve business processes, performance, or strategy.
• Work closely with other departments (e.g., marketing, sales, finance, operations) to understand their data needs and provide analytical support.
• Collaborate with data scientists, business analysts, or IT teams to ensure data is captured, processed, and analyzed correctly.
• Continuously improve analytical processes and methodologies to increase efficiency and accuracy.
• Other job which may assign by Asst. Manager / HOD.
• Problem solving skills
• Negotiations skills
• Time management skills
• Familiar with any management system
• Advanced skills in operating computer office programs
• Good command of English and be able to correspondence with oversea
• Good personality, diligent, willing to work hard, self responsibility and honest.

ทักษะ:

Power BI, Microsoft Office, Excel, Negotiation

ประเภทงาน:

งานประจำ

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excel ขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

ทักษะ:

Data Analysis, Excel, Power BI

ประเภทงาน:

งานประจำ

• Graduate with a Bachelor's/Master's Degree in Economics, Engineer, IT, or other related fields.
• Have an Experience in data analysis or performance reporting.
• Strong data analysis skills using Excel, Power BI, and SQL.
• Able to use VBA/Macro will be given special consideration.
• Experience in Retail businesses will be given special consideration..
• Tasks & responsibilities.
• Prepare and deliver daily, weekly, and monthly business reports to key stakeholders and business controllers.
• Recommend IT solutions for optimizing report generation across Financial, Commercial, and Operational areas.
• Ensure accuracy and consistency in data, readying it for comprehensive reporting.
• Provide data support to internal teams to meet reporting needs.
• Prepare additional ad hoc reports as assigned..

ทักษะ:

Data Analysis, Analytical Thinking, High Responsibilities

ประเภทงาน:

งานประจำ

• Analyze data and provide business insight.
• Assess risk and design mitigation actions based on data insight.
• Design dashboards / predictive models for decision-making management.
• Lead and Supervise team by projects.

ทักษะ:

Power BI, SQL, Python, English

ประเภทงาน:

งานประจำ

• Understand and document the business requirements for developing effective data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Deliver robust, scalable data solutions with a focus on speed, performance, security, governance, and architecture.
• Mentor junior data analysts and promote best practices within the team.
• Requirements5+ years of experience as a data analyst, preferably in retail or wholesale industries.
• Proven expertise in Power BI, SQL, Python and Cloud Data Platforms.
• Demonstrated ability to translate complex business requirements into effective data solutions.
• Strong leadership skills, including:Mentoring and developing junior analysts.
• Managing cross-functional projects.
• Guiding teams through complex BI development initiatives.
• Excellent communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.
• Track record of successful collaboration with various departments and stakeholders.

ทักษะ:

Power BI, SQL, Python, English

ประเภทงาน:

งานประจำ

• Understand and document business requirements for developing data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Contribute to the delivery of robust, scalable data solutions with a focus on performance, security, and governance.
• RequirementsBachelor s degree in a STEM or related fields.
• 1-3 years of experience as a data analyst, preferably in the retail or wholesale industries.
• Proficiency in Power BI, SQL, and Python.
• Basic understanding of cloud data platforms.
• Ability to translate business requirements into effective data solutions.
• Strong communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.

ทักษะ:

Finance, Compliance, Data Analysis

ประเภทงาน:

งานประจำ

• Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
• Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
• Develop appropriate QA measures to minimize revenue loss and operational errors.
• Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
• Collaborate with relevant departments to address and rectify issues impacting revenue.
• Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
• Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
• Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
• Prepare analysis reports to support management in strategy formulation and risk assessment.

ทักษะ:

SEO, Project Management, Digital Marketing, English

ประเภทงาน:

งานประจำ

• SEO Specialist.
• Media Buyer (Google & Facebook Ads).
• Data Analyst.
• Web Designers.
• Content Marketers.
• Digital Admins.
• As these are agency roles, you will be joining a team responsible for the strategy, delivery, and success of digital marketing campaigns for a multitude of clients including and thus should have a desire to be able to learn and apply your marketing skills across a broad range of industries and niches. You should be up for the challenge of joining a fast-growing company and be ready to take ownership of the results and success of our client campaigns.
• Strategize marketing campaigns for our clients to achieve their growth, lead, sales, and ROI goals.
• Manage the tasks and deliverables for client campaigns using our project management software.
• Completing tasks as assigned to you by our Marketing Director.
• Quality checking all client work before it is delivered or implemented.
• Ensuring client campaigns remain within budget be managing adherence to time tracking principles at task level.
• Identifying and rectifying any campaign issues with proactive analyst.
• Identifying additional marketing or upsell opportunities for our clients.
• Debriefing our account managers on campaign updates and results for them to communicate to their clients.
• We will provide you:.
• Extensive on the job training and education opportunities.
• Exposure to apply your digital marketing skills to multiple business industries.
• Annual and KPI Bonuses.
• Work Days: 5 day work week (Monday - Friday).
• Staff Social Club and Regular Events and Outings.
• Generous Annual Leave Packages.
• Travel and Accommodation Allowances.
• Promotion Opportunities.
• So if you have experience or skills in any of the above roles, and you would like to join a company with a great team culture we would love to receive your application. We welcome junior applicants or fresh graduates to apply as we are a company that provides extensive on the job training and learning opportunities. Upon receiving your application we will discuss with you your desired role and career growth goals. Thank you.
• Pay: ฿25,000.00 - ฿54,999.00 per month.
• Digital Marketing: 2 years (Required).
• English Fluency (Required).

ทักษะ:

SQL, Javascript, Research

ประเภทงาน:

งานประจำ

• Manage and maintain large datasets related to affiliate operations, ensuring data accuracy and integrity.
• Develop, optimize, and execute SQL queries to extract, manipulate, and analyze data for reporting and strategic planning.
• Use JavaScript, HTML, and CSS to design, implement, and enhance data visualization tools and dashboards.
• Provide in-depth analysis of affiliate program performance, identifying trends and recommending actionable strategies.
• Collaborate with internal teams (key account, campaign marketing, commercial, product) to define metrics, set KPIs, and support data-driven decisions.
• Automate routine reporting tasks and build dynamic dashboards to streamline affiliate program monitoring.
• Research and resolve data discrepancies, ensuring reliable and consistent reporting across the organization.
• Monitor the performance of affiliate campaigns and provide recommendations to improve effectiveness.
• Stay updated with the latest tools and technologies for data analysis and reporting to implement best practices.
• 4-5 years of experience in a data analysis role, preferably within an e-commerce or affiliate marketing environment.
• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Hands-on experience with JavaScript, HTML, and CSS for data visualization and dashboard creation.
• Strong understanding of data management, reporting, and analytics tools.
• Proven ability to analyze complex datasets and provide clear, actionable insights.
• Detail-oriented, with excellent problem-solving and critical-thinking skills.
• Effective communication skills to present findings and recommendations to non-technical stakeholders.
• Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
• Ability to work independently and as part of a team in a fast-paced environment.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Project Management, Data Analysis, Excel

ประเภทงาน:

งานประจำ

• Provide analytical insights, reporting and recommendations to the Talent Acquisition team and Business Partners.
• Serve as a trusted advisor for multiple concurrent projects, ensuring timely delivery and partner satisfaction.
• Lead the design and development of data products, such as dashboards, presenting key insights for performance monitoring.
• Deliver analysis, dashboards, and presentations on Talent Acquisition data to support strategic decision-making.
• Ensure data accuracy and integrity.
• Work with all stakeholders to drive efficiencies, optimize processes, and prioritize enhancements.
• What You'll Need to Succeed.
• A Bachelor's or Master's degree, or equivalent experience in a relevant field.
• 5+ years of experience in an analytics role, preferably within a fast-paced e-commerce or tech company.
• Strong project management and communication skills.
• Proven expertise in data analysis and visualization.
• Proficiency in Excel and SQL.
• A prominent level of discretion, confidentiality, and ethics, with strong attention to detail and accuracy.
• An ownership mindset, with the ability to meet tight deadlines, learn and adapt quickly to new challenges.
• The ability to thrive in a multicultural environment and foster a collaborative team culture.
• It's Great if You Have.
• Experience in People Analytics roles.
• A proven track record of challenging the status quo and proposing improvements to existing processes.
• Curiosity and a proactive approach to understanding the story behind the numbers.
• Experience in a multicultural or international work environment.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Data Analysis, Tableau, Power BI, English

ประเภทงาน:

ฝึกงาน

• Perform data analysis using your weapon of choice - either Tableau or Power BI.
• Perform data manipulation, analysis, and forecasting via MS Excel.
• Learn how to analyse and capture insights using real world data.
• Learn what service intelligence is and it's impact.
• Work with partners across the globe.
• Get to be part of world's leading fintech company.
• What we are looking for: You will have an interest in technology demonstrated either via your academic studies, work experience, or extracurricular activities. For instance, you may be part of a Computing Society, have taught yourself how to code or have focused on technology as part of a university project. Basic SQL, will be a good starting point to have for this internship.
• Although not a requirement if you understood Python, Power BI, and Tableau skills this would be a plus.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who are able to connect the dots and think creatively.
• People who can collaborate with others, using their strong English communication skills in the process. (written and verbal).
• To be apply, you must be a penultimate year student due to complete your degree 2026. You should have a good grade and studying a technology, engineering or computing related degree. Application close: 31 December 2024, however we recommend an early application because we consider candidates on a rolling recruitment basis. Due to the volume of applications, we might close the applications earlier. LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2.
• Experience in R studio, data modeling, hypothesis testing is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

SQL, Data Warehousing, ETL, English

ประเภทงาน:

งานประจำ

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

YouTube, Research, SQL

ประเภทงาน:

งานประจำ

• Experiment: Conduct A/B testing on platforms like Facebook, Instagram, Twitter, TikTok and YouTube, as well as brand research in-house & with external agencies to demonstrate the impact of campaign activity on brand awareness.
• Execute: Own the performance of digital & social campaigns, optimize critical campaign metrics, and keep an eye on data to ensure that media is delivering against the plan.
• Learn: Communicate test results & campaign learnings to the team and broader stakeho ...
• Analyse: Delve into data from digital tests & research studies to gather useful insights for optimization of brand campaigns.
• Collaborate: Liaise with external media partners (e.g. Google, Meta) for planning, analysis and execution, and consolidate media data and analysis with digital activity being run in-house.
• A minimum of a bachelor's degree in mathematics, marketing, communication, business, or another related field.
• At least 2 years of experience in analytically focused positions.
• Great SQL & Tableau knowledge.
• Advanced knowledge of Excel, very comfortable using VLOOKUP and Pivot Tables.
• Great project management, measurement, and planning capability; taking ownership from the start to the finish.
• Knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.) is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Statistics, Excel, Data Analysis, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Lead cross-functional projects using data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics to support key business decisions.
• Examine, interpret and report results of analytical initiatives to management, product, marketing and sales team.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

SQL, Tableau, Industry trends

ประเภทงาน:

งานประจำ

• Develop Strategic Communication Plans: Ideate and implement comprehensive email and multi-channel marketing strategies that enhance brand visibility and drive engagement among B2B partners.
• Design Impactful Campaigns: Lead the planning and execution of email marketing campaigns that align with brand guidelines and generate quality leads, working closely with cross-functional teams.
• Optimize Partner Journey: Analyze partner lifecycle data to ensure that communicatio ...
• Analyze Campaign Performance: Analyze campaign results, derive insights, and continuously refine strategies based on data-driven decision-making.
• Innovate and Experiment: Cultivate an experimental mindset by running A/B tests and exploring new communication strategies to enhance engagement and conversion rates.
• Manage Projects Efficiently: Develop KPIs and OKRs, oversee timelines, and resource allocation to ensure successful campaign execution within business objectives.
• Mentor and Lead a Team: Inspire, mentor, and manage a team of marketing professionals and analysts, fostering talent development and recruiting top performers in the industry.
• What You'll Need to Succeed.
• Extensive Experience: A minimum of 8 years in email marketing, campaign management, or a related field. Strong emphasis on B2B marketing is a plus.
• Analytical Expertise: Proven analytical skills (SQL and Tableau for visualization). Strong ability to interpret data, drive insights, and apply findings to improve campaign effectiveness.
• Strategic Vision: Ability to conceptualize the big picture while aligning communication strategies with broader business goals.
• Leadership Skills: Strong team management experience, with a track record of hiring, developing, and retaining high-performing teams.
• Effective Communication: Excellent written and verbal communication skills to convey complex ideas clearly and persuasively.
• Market Knowledge: In-depth understanding of industry trends, particularly in Tech and the travel sector, to keep Agoda at the forefront of B2B marketing.
• Adaptability: Comfortable in a fast-paced environment and open to exploring new channels and innovative approaches.
• Skills:: Advanced SQL skills required;Tableau knowledge advantageous.
• Why Join Us?
• As the Associate Director of Integrated Marketing Communications, you will play a pivotal role in shaping Agoda's communication strategy to partners and driving meaningful engagement. If you are an innovative leader with a passion for data-driven marketing and a desire to make a significant impact, we encourage you to apply and join our dynamic team!.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.