505 Senior Data Analyst jobs in Singapore

• Work closely with stakeholders to understand their needs/ pain points to scope up their problems enhance internal processes through automation and improve productivity.
• Be a subject matter expert in retail finance business and data. Consolidate data from multiple sources including operations, marketing, and source databases to create integrated views that can be used to drive decision-making.
• Work closely with the data engineering team to enhance and optimize the data warehouse infrastructure.
• Develop variable tools for stakeholders to boost operational working efficiency.
• Build and implement data visualization of reports and dashboards for management and business users.
• Critically evaluate and define business metrics; develop the analysis that leads to actionable insights to support the continuous improvement of the Retail Finance business.
  
  

• Bachelor’s degree and above in Computer Science/Engineering, Statistics, Business Analytics, Information Technology, Finance/ Banking, Statistics and other related fields.
• Open to fresh graduates and candidates with up to 1yr of experience.
• Skilled in SQL and Python is Mandatory.
• Have critical thinking and structured problem-solving capabilities.
• Being able to work well with cross-functional teams in a fast-paced environment.
• Basic accounting/finance knowledge is preferred.
• Experience in the finance/banking industry is a plus.
• Experience in business intelligence and analytics in e-commerce is a plus.

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Direct message the job poster from Shopee

Our Business Intelligence Data Analysts go beyond performance monitoring and report - they play a crucial role in conducting in-depth data-powered analysis and research that drive key business decisions across Regional Marketplace.

We’re looking for a hands-on, motivated individual who enjoys complex problem-solving and deriving data-backed solutions to help drive high-impact business changes.

You will be exposed to a multitude of functional areas across Shopee as you work on pivotal initiatives to improve our user experience, both within the various teams in Regional Marketplace Operations and other teams such as Data Science/ Engineering and Product. Additionally, you will also receive guidance, training and support to help you attain valuable skills and grow professionally in your career.

• Work closely with large datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
• Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
• Build and maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to facilitate development of key metrics to measure efficiency/impact/outcomes of day-to-day operations
• Conduct research and synthesise findings into plans, processes, and playbooks that are clear and lead to actionable insights
• Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
• Drive adoption of the team’s initiatives through strong collaboration and alignment of organisational needs with various stakeholders
• Explore and execute usage of Generative AI capabilities for automation and insights.

Requirements

• Proficiency in SQL/Python preferred
• Familiarity with Generative AI tools
• Experience with big data tools (e.g. Hadoop, Hive SQL, Spark), ETL tools, data visualisation tools (e.g. Tableau, Looker) and statistical analysis (e.g. hypothesis testing, regression, data modelling techniques) preferred
• Ability to analyse and synthesise data from both quantitative and qualitative sources
• Ability to draw insights from data to to design practical and scalable solutions
• Ability to explain technical concepts in a clear and succinct manner to various stakeholders
• Ability to thrive in a dynamic and collaborative environment

• Seniority level Associate

• Employment type Full-time

• Job function Analyst
• Industries Internet Marketplace Platforms

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Join to apply for the Junior Data Analyst - Business Intelligence, Regional Operations role at Shopee

Join to apply for the Junior Data Analyst - Business Intelligence, Regional Operations role at Shopee

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About The Team

Shopee’s Regional Operations constantly solving problems and introducing innovative solutions to improve platform usability and enhance end user experience for our buyers, sellers, and partners.

About The Team

Shopee’s Regional Operations constantly solving problems and introducing innovative solutions to improve platform usability and enhance end user experience for our buyers, sellers, and partners.

Our teams sit at the core of our business and collaborate with various departments to manage end-to-end e-commerce processes, and design scalable solutions to create impact across multiple markets. To do so, we deep dive into the fundamentals of each aspect and drive strategic initiatives to sharpen our policy, processes and features for greater product and operational excellence.

Job Description

Our Business Intelligence Data Analysts go beyond performance monitoring and report - they play a crucial role in conducting in-depth data-powered analysis and research that drive key business decisions across Regional Operations.

We’re looking for a hands-on, motivated individual who enjoys complex problem-solving and deriving data-backed solutions to help drive high-impact business changes.

• Work closely with large datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
• Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
• Build and maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to facilitate development of key metrics to measure efficiency/impact/outcomes of day-to-day operations
• Conduct research and synthesise findings into plans, processes, and playbooks that are clear and lead to actionable insights
• Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
• Drive adoption of the team’s initiatives through strong collaboration and alignment of organisational needs with various stakeholders
  
  

• Bachelor’s degree in Business Analytics, Statistics, Engineering, Mathematics or Computer Science with 0-3 years experience
• Proficiency in SQL/Python
• Experience with big data tools (e.g. Hadoop, Hive SQL, Spark), ETL tools, data visualisation tools (e.g. Tableau, Looker) and statistical analysis (e.g. hypothesis testing, regression, data modeling techniques) preferred
• Ability to analyse and synthesise data from both quantitative and qualitative sources
• Ability to draw insights from data to to design practical and scalable solutions
• Ability to explain technical concepts in a clear and succinct manner to various stakeholders
• Ability to thrive in a dynamic and collaborative environment

• Seniority level Entry level

• Employment type Full-time

• Job function Other
• Industries Internet Marketplace Platforms and Technology, Information and Internet

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• Extract, clean, and validate data from multiple sources for analysis
• Transform raw data into meaningful reports and actionable insights
• Design, build, and maintain interactive dashboards and reports using Power BI
• Collaborate with stakeholders to understand business needs and provide data support
• Ensure data quality, consistency, and integrity across all reports
• Work closely with both local and remote data teams to deliver analytical solutions
• Contribute to the development of documentation, standards, and best practices for analytics and reporting

• Bachelor's degree in Computer Science, Statistics, or a related discipline
• Minimum 5 years of experience in data analysis or a similar role
• Proficient in SQL and data visualization tools, especially Power BI
• Strong knowledge of data cleaning, transformation, and validation techniques
• Good communication and stakeholder management skills
• Ability to work independently and collaboratively in a dynamic environment

About the Role:

We're seeking a seasoned data analyst to join our growth and excellence team. In this global role, you'll leverage your technical expertise to streamline operational workflows through data automation and intelligent process design.

You'll work closely with cross-functional stakeholders across sales, operations, and data engineering to drive better visibility into how technical product experiences contribute to pipeline movement and revenue generation.

• Data analysis to support business decision-making, strategic development and operational requirements.
• Produce dashboard and reports to provide insights into historical data, trending and predictive trends.
• Frame business scenarios and propose features that impact critical business processes and decisions.

• Act as the Data Analytics expert to provide insights on our data, to identify trends and opportunities and suggest solutions based on these insights to support business decision.
• Develop data mart, data models that can support data analysis to draw insightful information, predictive modelling and trend analysis, enabling us to proactively meet client needs and provide insights for active panel clinics management and portfolio management.
• Design and develop dashboard frameworks and reporting view to achieve efficiency in reporting for routine standard reports.
• Optimize statistical efficiency and quality.
• Collaborate closely with internal teams to understand insurers' or clients' requirements and business agreements, prepare claims analysis, and identify opportunities for improving efficiency of report submission.
• Standard regular reports to keep a view on panel clinics performance to ensure alignment with panel clinics management, cost containment strategies and to meet audit requirements.
• Utilize SQL and any other provided analytical tools to meet reporting requirements for clients/insurers/brokers.

• Degree in Data Analytics or relevant discipline.
• Candidates without experience are welcomed to apply.
• Ability to use programming languages such as Python, SQL and BI tools such as Tableau and Power BI.
• Strong Financial and Statistical Analysis skills, and Business acumen.
• Advanced knowledge with Microsoft Office Suite, especially in Microsoft Excel and use of Macros.
• Possess creative thinking, with excellent problem solving skills.
• Great time and priority management skills, and adherence to deadline.
• A good team player, able to work closely with multiple operational functions of the company.
• Written and verbal communication skills.
• Ability to contextualize business operations to data observations and support decision-making with insightful analysis.