Assist in developing and maintaining SQL queries, datasets, and data transformations to support reporting and analytics initiatives
Support the creation of dashboards and reports (Power BI or similar tools) to communicate insights across the business
Work with the Data Engineering team to understand and contribute to ETL/data pipeline processes and data integration from multiple sources (APIs, flat files, internal systems)
Help validate data accuracy, troubleshoot discrepancies, and ensure data quality and consistency
Participate in Agile ceremonies (stand-ups, sprint planning) and collaborate across teams
Assist in documenting data processes, data dictionaries, and workflows
Analyze datasets to identify trends, patterns, and opportunities to improve business performance
Translate business questions into data-driven insights with guidance from senior team members

Requirements

Currently pursuing a degree in Data Analytics, Computer Science, Information Systems, Mathematics, Economics, or related field
Basic knowledge of SQL and relational databases
Strong analytical and problem-solving skills
Detail-oriented with a focus on accuracy and data integrity
Ability to communicate findings clearly (written and verbal)
Comfortable working in a fast-paced, collaborative environment
Exposure to Power BI, Tableau, or other data visualization tools (preferred)
Familiarity with Excel, Python, or data analysis tools (preferred)
Basic understanding of data warehousing or ETL concepts (preferred)
Interest in learning Azure, data pipelines, and enterprise data systems (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata transformationsdata analysisdata validationETLdata integrationdata warehousingdata visualizationPythonExcel

Soft Skills

analytical skillsproblem-solving skillsdetail-orientedcommunication skillscollaborativeadaptability