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Skills:
Statistics, Data Analysis, SAS, English
Job type:
Full-time
Salary:
negotiable
- 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.
- 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.
Skills:
Data Analysis, Finance, SQL, English
Job type:
Full-time
Salary:
negotiable
- Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
- Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
- Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
- ML Model creation: Create data analytic model including both deterministic and machine learning model.
- AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
- Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
- Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
- Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
- Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
- Master's degree in Finance, Business, Engineering, or a related field.
- Strong business acumen, with a deep understanding of retail and wholesale business.
- 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
- Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
- Good Knowledge of Statistics.
- Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Fluent in Thai and English.
- Having a good attitude toward teamwork and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
Skills:
Python, Power BI, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic, Data Scientist and other relate filed.
- Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
- Have experience in Retail / FMCG business would be advantage.
- Excellent for Excel, Power BI, Python.
- Good Analytic skills.
Skills:
Statistics, Data Analysis, Google Analytics
Job type:
Full-time
Salary:
negotiable
- Analyze business opportunities, deliver in-depth analysis, and propose solutions to Business to meet business objectives and targets.
- Recommend campaign mechanics, methodologies, and target segments for marketing campaigns based on customer behavior analysis.
- Provide performance tracking for the marketing campaigns, Ad-hoc and MIS reports.
- Develop and implement statistical models to improve campaign efficiency, provide test/control procedure, and monitor the model performance.
- Work closely with the product team to uncover trends and business insights in order to answer questions and solve business problems that lead to data-driven decisions and growth hacking strategies.
- Assist business team, data scientist, and IT teams to identify the product vision of new products/platforms, as well as validate if the products/platforms have achieved product/market fit including specifying metrics that matter and related visualized reports and dashboards.
- Create reports and dashboards that contain useful, actionable information using easy-to-understand visualization for relevant decision-makers.
- Master's Degree in MIS, IT, computer science, statistics, mathematics, business, or related field.
- Minimum of 3 years' experience in data analysis roles.
- Strong creative and analytical problem-solving capabilities.
- A product mindset - ask and address the most important analytical questions with a view on enhancing a product's impact.
- Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
- Experience with data tools and languages like Google Sheets, Google Analytics, SQL, Tableau, Power BI, or similar.
Skills:
Business Development, Data Analysis, SQL
Job type:
Full-time
Salary:
negotiable
- Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
- Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
- Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
- Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
- Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
- Bachelor's degree in Business Administration.
- Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
- Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
- Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
- Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.
Job type:
Full-time
Salary:
฿50,000 - ฿70,000, negotiable
- Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
- Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
- Job Scope.
- ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
- ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
- ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
- ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
- ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
- ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
- ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
- ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
- ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
- ꔷ Effective communicator with excellent presentation skills.
- ꔷ Self-motivated, strong ownership and strong team management skills.
- ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
- ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
- ꔷ Able to communicate in Chinese would be additional advantage.
Job type:
Full-time
Salary:
negotiable
- About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
- Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.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].
Skills:
Data Analysis, Negotiation, English
Job type:
Full-time
Salary:
negotiable
- Strong data analysis capabilities.
- Expertise in marketing and customer experience insights.
- Comprehensive knowledge of loyalty program.
- Excellent collaboration skills, working effectively across departments.
- A team player with strong interpersonal skills.
- 10+ years of experience in roles such as Channel & Product Manager, Business Analyst, System Analyst, or management and IT consulting.
- Experience in Banking, Financial Services, Telecom, or Digital industries is preferred.
- Strong analytical skills with the ability to understand and communicate technical discussions.
- Fluent in English, both in communication and negotiation.
Experience:
2 years required
Skills:
Big Data, Good Communication Skills, Scala
Job type:
Full-time
Salary:
negotiable
- You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
- You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
- You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
- Outputs include workshop sessions and documentation including mapping documents.
- Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
- Skills and attributes for success.
- 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
- Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
- Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
- Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
- Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
- An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
- Ideally, you ll also have.
- Experience in engaging with both technical and non-technical stakeholders.
- Strong consulting experience and background, including engaging directly with clients.
- Demonstrable Cloud experience with Azure, AWS or GCP.
- Configuration and management of databases.
- Experience with big data tools such as Hadoop, Spark, Kafka.
- Experience with AWS and MS cloud services.
- Python, SQL, Java, C++, Scala.
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
- What working at EY offers.
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that s right for you.
- about EY
- As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
- If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
- Join us in building a better working world. Apply now!.
Experience:
2 years required
Skills:
Marketing Strategy, Project Management, Market Research
Job type:
Full-time
Salary:
negotiable
- Develop and Implement Product Marketing Strategy: working on comprehensive strategies and materials that engage B2B audiences, elevate brand awareness, and deliver tangible business results across multiple business units.
- Craft Compelling Product Messaging: Develop messaging and positioning that differentiates our products in the market.
- Project Management of Cross-Functional Initiatives: Ensure alignment and effective communication among all stakeholders while managing cross-functional projects.
- Performance Analysis: Analyze product and channel performance metrics to refine marketing strategies and enhance product offerings.
- Enhance Sales Materials and Strategy: Design and execute go-to-market plans for product launches, including promotional campaigns, sales enablement, and training.
- Conduct Market Research: Identify partner needs and market trends to develop a competitive positioning strategy.
- Craft Engaging Presentations: Design and manage high-impact presentations that effectively convey Agoda's brand story and core strategies to partners and C-suite executives.
- What You'll Need to Succeed.
- Extensive Experience: A minimum of 2 years in product marketing, strategy, content marketing, or related roles preferably in the tech industry. Experience in a B2B marketing environment is a plus.
- Data-Driven Approach: Strong analytical skills with the ability to analyze data (SQL knowledge is a strong plus), translate data into actionable insights, and support content strategies and value propositions.
- Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
- Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
- Strategic Mindset: Proven experience in developing content that aligns with business objectives and enhances brand narrative.
- Industry and Product Knowledge: Familiarity with the tech and travel industries, with experience in the online travel agency sector being a plus.
- Technical Proficiency: Knowledge of marketing automation tools, CRM systems, and analytics software is an advantage.
- Why Join Us?.
- At Agoda, you will play a pivotal role in shaping our communication strategies and driving growth within the B2B marketing division. If you are an innovative thinker passionate about travel technology and have the skills to elevate our brand narrative, we invite you to apply and be part of 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.
Skills:
Statistics, Data Analysis, SAS, English
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Research, Microsoft Office, English
Job type:
Internship
Salary:
negotiable
- Conduct business (company, industry) and economic research.
- Support in cleansing/migrating existing data to a new system.
- Assist in preparing content for Deloitte Online channel.
- Support in general marketing, sales and admin works.
- Your role as a leader.
- At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Associates / Analysts / Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
- Understand how our daily work contributes to the priorities of the team and the business.
- Demonstrate strong commitment to personal learning and development.
- Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
- Work effectively in diverse teams within a highly inclusive team culture where everyone is supported, respected and recognized for their contribution.
- QualificationsStrong communication skills both writing and speaking in Thai/English.
- Strong research and analytical skill.
- Proficiency in Microsoft Office.
- Requisition ID: 107867In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
Experience:
8 years required
Skills:
Data Analysis, Tableau, Excel
Job type:
Full-time
Salary:
negotiable
- Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
- The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
- Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
- The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
- Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
- Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
- Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
- Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
- Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
- Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
- Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
- MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
- Online media experience will be a strong advantage.
- 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
- Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
- Strong experience in story telling from data, analysis and insight is required.
- Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
- Experience with machine learning algorithms and statistical modeling is a bonus.
- Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
- Proven ability to work independently and manage multiple projects simultaneously is a requirement.
- The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
- Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.
Experience:
1 year required
Skills:
Data Analysis, Digital Marketing, Industry trends
Job type:
Full-time
Salary:
negotiable
- Department: Information Technology.
- Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
- Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
- Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
- Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
- Communicate findings and build buy-in with key stakeholders through data visualizations.
- Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
- Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
- Collaborate with internal teams on defining population segments to support personalized consumer experiences.
- Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
- Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
- 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
- Excellent understanding of fundamentals of statistics.
- Advanced in Python.
- Strong experimental design and analysis skills.
- Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
- Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Ability to communicate complex analysis in a clear, simple, and actionable manner.
- Working knowledge of SQL and relational databases and analysis tool.
- ประสบการณ์ 2 ปีขึ้นไป.
- จำนวน 1 อัตรา.
Experience:
2 years required
Skills:
Digital Marketing, Enthusiastic, English
Job type:
Full-time
Salary:
negotiable
- Facilitate JAD sessions with customer, developers and managers to communicate updates and coordinate system issue resolutions.
- Being client-facing and manage projects related to website development, data management, and leads processing workflow.
- Able to give technical recommendation and explain technical jargon to non-technical/commercial teams.
- Develop presentations and proposals based on business issue and challenges from commercial or business team.
- Define digital marketing metrics and relevant data sources to select, configure and implement analytics reports or solutions.
- Analyzing collected data and preparing reports for commercial team to use in a business setting.
- Interview business users, generate requirement documents, test plans and coordinated/conduct UAT.
- Perform UAT development, scenario testing, and provide deployment and post-deployment support while mitigating potential risks.
- Qualifications Bachelor s degree in business administration or computer science.
- 2-3 years of experience in technical project management or analyst.
- Strong knowledge in digital marketing / digital media.
- Excellent command of English - verbal and written.
- Enthusiastic, rationale and systematic thinking, and challenge taker.
- Location: Bangkok Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent
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