We're driving an accelerated data modernization agenda and looking for an intern who can plug into a high-velocity analytics environment and convert raw data into actionable intelligence. This is not a shadow role it's a hands-on, high-expectation runway designed for individuals who can synthesize, visualize, and operationalize insights with precision.
Responsibilities
- Drive data profiling, quality checks, and EDA to establish a reliable analytical foundation.
- Support the build-out of automated dashboards and performance trackers across operational, workforce, and delivery metrics.
- Translate business asks into structured analytical outputs using SQL, Python, and visualization frameworks.
- Partner with cross-functional teams to streamline reporting pipelines and eliminate manual overhead.
- Apply statistical methods to identify patterns, anomalies, and optimization levers.
- Support KPI modeling, forecasting inputs, and scenario-based analytics for leadership reviews.
- Maintain high data hygiene standards across all artifacts, ensuring audit-ready accuracy.
- Document data flows, transformations, and insights in a structured, repeatable format.
- Assist in deploying new analytics models into production workflows.
Required Skills
- Strong foundation in SQL, Python, and data manipulation.
- Ability to visualize data using Power BI, Tableau, or similar platforms.
- Understanding of basic statistical methods, forecasting, and trend analysis.
- High-speed learning orientation with a bias for structure, clarity, and execution.
- Ability to work under time-compressed cycles with multiple moving pieces.
Preferred
- Exposure to cloud data environments (Azure, AWS, GCP).
- Experience working with operations, HR analytics, or delivery intelligence datasets.
- Familiarity with APIs, basic ETL pipelines, or automation scripts.
