A 6-month internship opportunity for recent graduates to gain hands-on experience in data engineering and analytics within an enterprise data platform environment. This role provides equal exposure to data transformation workflows and Power BI analytics development, working alongside experienced data engineers and analytics professionals.
Core Responsibilities
Data Engineering Support
Write SQL queries for data extraction, transformation, and validation
Perform data quality checks including row counts, sum validations, and reconciliation
Assist with data transformation tasks using SQL, Power Query, or Fabric notebooks
Support Python-based data processing and automation scripts
Learn and work with Azure data platforms including Fabric, Databricks, or Synapse
Data Analytics Support
Assist in developing Power BI dashboards and semantic models
Learn and write DAX measures for calculations and KPI tracking
Support dimensional modeling including fact and dimension table design
Perform data analysis and create visualizations to support business insights
Create documentation for data models, measures, and analytical processes
Required Qualifications
Recent graduate (2024-2026) or final-year student in Computer Science, Data Science, IT, Statistics, or related field
Basic to intermediate SQL proficiency with ability to write queries for data analysis
Familiarity with data analysis concepts and tools (Excel, Power BI, or similar)
Strong analytical and problem-solving skills
Eagerness to learn data engineering and analytics technologies
Good communication skills and ability to work in collaborative team environment
Preferred Qualifications
Completed internship or academic project involving data analysis, Power BI, or SQL
Python programming experience with pandas and numpy libraries
Exposure to database systems (MySQL, PostgreSQL, SQL Server)
Basic understanding of data modeling or dimensional concepts
Completed online courses or certifications related to data analysis or Power BI
Education
Bachelor's degree (pursuing or recently completed) in Computer Science, Data Science, Information Technology, Statistics, or related field
Competencies
Strong analytical and problem-solving mindset
Attention to detail and commitment to quality
Eagerness to learn and adapt to new technologies
Ability to work independently and collaboratively
Professional communication and teamwork skills