About The Position

We are always looking for ambitious and talented people who want to advance their career options and work on international projects. Now, we are looking for a Data Analyst – Intern who will get the chance to become a part of our BI department. Working with us means working on international clients’ projects, working in a friendly environment, and working with a dream team with a ‘sharing knowledge’ culture!

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).
• Ability to deal with ambiguity in a fast-paced environment.
• 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

• The application of BI and DWH concepts to the support of specific business functions or processes (Examples: data ingestion, data validation, data cleaning, data processing, and ETL).
• Use various tools (query interfaces) and concepts regarding data and databases (Examples: data flow diagrams, relational data modeling, user story, data dictionary, data lineage, source to target mapping).
• Methods and techniques for writing effective reports.
• Collecting and interpreting data.
• Analyzing results and identifying patterns and trends in data sets.
• Use one or more industry analytics visualization tools (e.g. Excel, PowerBI) and, as needed, statistical methods to deliver actionable insights to stakeholders.
• Working alongside teams within the business or the management team to establish business needs and well-defined requirements.
• Defining new data collection and analysis processes.
• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible.
• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership of the next steps for their resolutions.