Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.);
Build and maintain dashboards and visualizations in Looker Studio and other BI tools;
Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;
Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions.

Requirements

3-5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment;
Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions;
Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus;
Experience with Python for data processing or automation (knowledge of other programming languages is a plus);
Solid understanding of data modeling and database design principles;
Hands-on experience with data visualization and BI tools, especially Looker Studio;
Proficient git user;
BS in Mathematics, Economics, Computer Science, Information Management or Statistics;
Fluent in written and spoken English.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ETLELTSQLExcelBigQueryMongoDBPythondata modelingdatabase designdata visualization

communicationcollaborationstakeholder engagementproblem-solvingtranslating business needs

BS in MathematicsBS in EconomicsBS in Computer ScienceBS in Information ManagementBS in Statistics