Data Analyst
- Design, develop and maintain analytical reports for day-to-day decision making
- Provide business users with Visual Analyses and interactive Dashboards to help analyze and explore data
- Work with management to prioritize business and information needs
- Translate business requirements and hypotheses to successful analyses and insights to aid business decision making
- Conceptualize KPIs to measure, track and benchmark performance in various aspects of business
- Identify, analyze and interpret trends or patterns to come up with actionable insights using statistical models. [Descriptive, diagnostic & predictive]
- Collaborate with internal stakeholders to manage data logistics (including data transfers, understanding data structures, business rules, business processes and problems etc.) to enable project execution
- Work with internal clients and provide timely solutions to both new initiatives and business as usual requests
- Appropriately own and account for the timeliness and quality of all assignments.
SKILLS :
- Use Python programming, in the execution of data analysis that will contribute to the final project deliverables
- Proven Experience in Pandas, Numpy and handling large datasets
- Experience with cloud services (AWS, Azure, Google Cloud)
- Acquire data from various sources, transform and load
- Proficient with at least 1 Visualization tool (Tableau, Power BI, Superset, etc.)
- Proficiency in SQL
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