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Finance Data Analyst
Finance Data AnalystFairPrice Group • Singapore
Finance Data Analyst

Finance Data Analyst

FairPrice Group • Singapore
30+ days ago
Job description

Job Description

Key Responsibilities :

  • Extract and clean the data from various data sources to generate daily, weekly and monthlyreports
  • Set up the automation of reports from data extracted and stored by GCP
  • Create solutions to make data evaluation process more flexible or scalable across data sets
  • Create and maintain rich interactive visualizations through data interpretation and analysisintegrating various reporting components from multiple data sources.
  • Work alongside with multiple teams and stakeholders to establish analytical needs, includingidentifying critical metrics and KPIs, and deliver actionable insights.
  • Design management reports, dashboards and other data products that provide insights fordata-driven decision making
  • Coordinate with data engineers to ensure data required by business units and corporatefunctions teams are accurately maintained in the finance data lake
  • Owner of Finance data lake to extract and derive value by blending different data sources including defining clear access and governance of the data lake

Qualifications

Requirements :

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics orrelated quantitative fields
  • 1 - 3 years of experience as an Insights Analyst, Data Analyst or Data Scientist
  • Excellent data analytics skills, independent thinking, data oriented, and knowledge of analyticstools required (SQL, Excel, Python, Data Visualisation tools)
  • Hands-on experience with large datasets on heavy transaction platforms. (Experience workingon GCP, AWS is a plus)Good understanding of broad finance and accounting processes
  • Experience developing key metrics for business performance tracking
  • Strong business acumen to grasp business requirements from stakeholder and analytical mindsetto discover insights and build solutions from large data sets
  • Ability to work effectively cross-functionally and to make data and insights accessible and easilydigestible to a non-expert audience
  • Team player with an ability to function effectively in a dynamic, fast-paced environment
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