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. Burimi: https://mk.linkedin.com/jobs/view/masters-101-internship-program-data-analyst-at-axm365-4361829444

Niveli: mid level