Data Engineer & Insights Analyst

About this kind of role

What a Data Engineer & Insights Analyst usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to collect, process, and store large datasets. Transforms raw data into usable formats for analysis and reporting, ensuring data quality and integrity. Develops and implements data models and databases to support business intelligence and analytical initiatives. Collaborates with data scientists and business stakeholders to understand data needs and deliver actionable insights.

Tools and skills: Proficiency in SQL, Python or R, data warehousing technologies (e.g., Snowflake, Redshift), ETL tools (e.g., Informatica, Apache Spark), and data visualization software (e.g., Tableau, Power BI) is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to communicate technical concepts effectively to non-technical audiences often thrive in this role.