- SQL for data extraction, transformation, and analysis
- Power BI for developing dashboards and data visualizations
- Statistical analysis and interpretation of data trends
- Manufacturing domain knowledge or prior exposure to production environments
- Solid understanding of data model design , including schema and semantic models, as well as a strong grasp of database structures
RESPONSIBILITIES:
- Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.
- Project management: Lead at least one client engagement independently. Execute end to end client engagements.
Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.
- Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.
- Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches
- Firm building: Contribute to firm growth by participating and conducting training sessions.
- Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management