What you'll do
The candidate will be responsible for developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
- Data analysis: Performing statistical analyses, exploring data, and identifying patterns
- Data visualization: Using data visualization tools like Qlik Sense, Power BI and Looker to identify patterns and showcase findings to stakeholders
- Diagnostic analysis: Comparing descriptive data to identify relationships and patterns to understand why a problem is occurring
- Predictive analysis: Using data to form projections about the future, such as using historical records to make predictions about future events
- Process improvement: Setting up processes to make data more efficient, ensuring quality assurance, and defining Key Performance Indicators (KPIs)
- Reporting: Reporting trends to add business value
What you need
- Master’s degree in Statistics / Econometrics/ Operation Research or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis
- 4-8 years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and/or Data Science
Why this matters
This role will support client objectives and project goals through data analysis, data mining by developing data-driven and insightful reports, visualizations, dashboards, and communicating results using appropriate programming languages & visualization tools such as Python, SQL, Alteryx, Qlik Sense, PowerBI.
