Data Analytics Intern

Were 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 its 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.

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