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. Your Skills -BCs or in last year of studies 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) -Basic experience with a scripting language (e.g., Python or R) -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 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) -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
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