Analyse broad data sets and provide actionable insights to better inform business decisions
- Participate as a member of cross-functional squads that includes data engineers, software engineers, and business leaders
- Gather requirements from different business units, translate that to engineering problems, and explain the results to non-technical teammates
- Develop and maintain automated dashboards, metric reports, and data visualisations
- Collaborate closely with both engineers and business stakeholders to guarantee proper implementation of tracking and reporting
- Maintain and re-engineer existing ETLs to increase data accuracy, data stability, and pipeline performance
Requirements
- Experience with BI tools such as Metabase, Tableau, PowerBI, Looker, or Snowflake
- Experience working with PostgreSQL, MongoDB databases (Must have)
- Experience with using an ETL management tool such as Airflow to wrangle data from business data sources into analytics databases
- Ability to translate between technical metrics and business KPIs and act as a bridge between technical and non-technical internal stakeholders
- Experience with R or Python is highly desirable
- Experience with Git is a plus