Masters 101 Internship Program: Data Analyst

About The Position

We’re always on the lookout for ambitious, talented individuals who are eager to grow their careers and gain experience on exciting international projects. Right now, we’re looking for a Data Analyst Intern to join our Business Intelligence team. In this role, you’ll work with SQL and Power BI to support data-driven insights and contribute to impactful client projects. At our company, you’ll collaborate on global assignments, thrive in a supportive and friendly environment, and be part of a dream team that values curiosity, growth, and a true culture of knowledge-sharing.

What We Offer

• Financial compensation
• Mentorship and training opportunities
• Valuable practical experience with work activities
• Network with professionals in the field
• Attending networking and social events
• A dream team with a knowledge-sharing culture
• A friendly working environment

Your Skills

• Currently enrolled in the last year of studies or with a Bachelor’s Degree in computer science, computer engineering, or other equivalent fields
• Experience with data querying or modeling with SQL (preferably Microsoft data stack).
• Experience with building and maintaining basic data artifacts (e.g. ETL, data models, queries).
• Basic experience with one or more industry analytics visualization tools (e.g. Excel, PowerBI, Tableau, Looker).
• Knowledge of data modeling and data pipeline design.
• Experience with relational and star schema data modeling concepts.
• General curiosity and ability to reverse engineer an existing process/pipeline.
• Ideas on how to improve code quality and optimizes BI processes (e.g., speed, cost, reliability).
• Excellent knowledge of the English language is a MUST.
• Excellent verbal/written communication skills and data presentation skills.
• Strong analytical skills.
• Self-starter or the ability to proactively find work or learning opportunities.

Your Responsibilities

• Using BI and DWH concepts to support specific business functions or processes (Examples: data ingestion, data validation, data cleaning, data processing, and ETL).
• Using various tools (query interfaces) and concepts regarding data and databases (Examples: data flow diagrams, relational data modelling, user story, data dictionary, data lineage, source-to-target mapping).
• Collecting and interpreting data.
• Analysing results and identifying patterns and trends in data sets.
• Using one or more industry analytics visualisation tools (e.g. Excel, Power BI) and, as needed, statistical methods to deliver actionable insights to stakeholders.
• Defining new data collection and analysis processes.
• Troubleshooting data, analyses, and codes, researching root causes, proposing solutions and taking ownership of the next steps for their resolutions.

We encourage a working culture where innovation is the goal, hard work is expected, and creativity is rewarded. We like hanging out: Happy Hours, Teambuilding, Beer meetings, Sony Parties… We continuously invest in the training and certifications of our employees, so we can prepare them better for the new industry challenges. Our employees are open to learning from each other. They are our support system and provide the team environment we need in order to be successful. You’ll work on challenging international projects and strive to find the right way to solve the problem. Travel to onsite locations is included.