In A Nutshell
We’re seeking a Sr. Analytics Engineer I to strengthen our ability to learn from user data—turning millions of farmer interactions and behavioral signals into insights that guide design, growth, and strategy.
Responsibilities
Data Foundation & Pipelines
- Build and maintain automated data pipelines, transformations, and dashboards across our analytics and engagement ecosystems on BigQuery.
- Stand up and stabilize the data infrastructure for long-term scale, including repository migration and DevOps maintenance.
- Build a strong analytics foundation with clear, reliable dashboards showing how farmers discover and use FarmerChat across regions and genders.
Metrics & Insights
- Implement metrics and visualizations to track user acquisition, engagement, and retention, and produce dashboards that let product, research, and leadership teams make data-informed decisions.
- Partner with leadership, donors, and country teams to turn analytics into a recurring insights cycle they can rely on can inform what is working and what needs to improve.
Standards & Cross-Functional Partnership
- Data warehousing: Manage and extend central data warehouses and databases for querying and reporting.
- In partnership with the Director of Strategy & Insights, set best practices for prioritizing, documenting, and executing data analysis requests.
Skillset
- 5+ years of experience in data engineering & analytics with digital platforms. Bachelor’s required, Master’s desirable.
- Expertise in SQL, Python and Bigquery.
- Experience building visualizations to make sense of data.
- Experience setting up or maintaining ELT pipelines for a live product (raw → staging → transformation layers), with preferably more weight on the transformation layer.
- Hands-on data engineering experience with cloud data platforms such as GCP, AWS, or Azure.
- Proven ability to build and maintain data models using dbt, Databricks, or similar tools.
- Familiar with data ingestion and orchestration tools such as Apache Airflow, Airbyte, or Fivetran.
- Familiar with Google Analytics, MoEngage, Mixpanel, or similar product analytics systems, and eager to learn new tools.
- Experience working with high-volume event data from mobile apps or conversational products, and using it to inform product or growth decisions.
- Experience using GitHub for version control and implementing CI/CD pipelines.
- Detail-oriented, self-motivated, and able to work independently as well as collaboratively within a team.
