Perform statistical and empirical analysis using SPSS, along with SQL, Excel, and reporting tools to uncover trends and insights.
Develop and automate data extraction processes from multiple sources; integrate and maintain data in scalable formats.
Create interactive dashboards, visualizations, and reports to communicate findings effectively.
Design “what-if” simulations and scenario analyses considering big data capacities and runtime constraints.
Work with project managers and stakeholders to clarify analytics needs, define KPIs and metrics, and deliver insights that inform business strategy.
QA analysis outputs, ensure accuracy and alignment with business logic, and maintain documentation of methodologies.
Provide ad-hoc analytic support and work on special projects such as pricing models, forecasting, and network optimization.
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