Job Description & How to Apply Below
What will you do?
Analytics & KPI Design
- Partner with marketing and business teams to define, validate, and finalize KPI frameworks, including stage-wise performance metrics.
- Translate high-level business objectives into measurable analytics models aligned with operational efficiency and campaign performance.
Data Analysis & Insights
- Perform historical, trend, and variance analysis using Python and SQL to identify productivity drivers, bottlenecks, and inefficiencies.
- Conduct root cause analysis on SLA breaches, workflow delays, and high-duration process stages.
- Develop data-backed recommendations to improve workforce utilization, throughput, and campaign outcomes.
Reporting & Dashboarding
- Design, build, and maintain interactive Power BI dashboards using DAX, drill-downs, filters, and KPI visualizations.
- Integrate dashboards with Excel Power Query models for near real-time reporting and automated data refresh.
- Create Excel-based prototype reports to validate business logic and metric definitions before production rollout.
Automation & Data Engineering
- Build and automate ETL and data preparation pipelines using Python and SQL.
- Reduce manual reporting effort through workflow automation, reusable data models, and standardized processes.
- Ensure data accuracy, consistency, and scalability across all analytics and reporting solutions.
Stakeholder Collaboration
- Collaborate cross-functionally with analytics, marketing, operations, and leadership teams.
- Communicate insights clearly to non-technical stakeholders through dashboards, reports, and presentations.
- Own KPI definitions, logic validation, documentation, and ongoing metric governance.
What will you need?
Technical Skills
- Python (Pandas, Num Py; exposure to Scikit-learn is a plus).
- SQL including complex joins, query optimization, and performance tuning.
- Power BI (DAX, interactive dashboards, KPI reporting).
- Advanced Excel – Power Query, Pivot Models, data modeling.
- Strong understanding of data modeling, data cleaning, and ETL concepts.
Analytical Skills
- KPI design, metric validation, and performance measurement.
- Root cause analysis and structured problem-solving.
- Data storytelling and insight-driven communication.
Education
- Bachelor’s degree in Engineering, Analytics, Statistics, Computer Science, or a related field.
- Master’s degree in Business Analytics or Data Analytics preferred.
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