Senior Analytics Engineer I
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At a glance
Job overview
datadotorg is hiring a Senior Analytics Engineer I. The company seeks a Senior Analytics Engineer I to turn millions of farmer interactions and behavioral signals into actionable insights, guiding design, growth, and strategy through robust data pipelines, dashboards, and metrics across regions and genders.
Key focus areas include Build and maintain automated data pipelines, transformations, and dashboards across analytics ecosystems on BigQuery, Stand up and stabilize data infrastructure for long-term scale, including repository migration and DevOps maintenance, and Build a strong analytics foundation with clear, reliable dashboards showing farmer usage across regions and genders.
Important skills include Data Engineering, Analytics, BigQuery, Data Visualization, Cloud Platform System, and Database Models.
Skills & qualifications
Skills
Qualifications
Full job description
In A Nutshell Location
On Site Bangalore, Karnataka, India
Job Type
Full-time
Experience Level
Mid-level
Deadline to apply
August 28, 2026
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
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Build and maintain automated data pipelines, transformations, and dashboards across our analytics and engagement ecosystems on BigQuery.
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Stand up and stabilize the data infrastructure for long-term scale, including repository migration and DevOps maintenance.
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Build a strong analytics foundation with clear, reliable dashboards showing how farmers discover and use FarmerChat across regions and genders. Metrics & Insights
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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.
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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
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Data warehousing: Manage and extend central data warehouses and databases for querying and reporting.
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In partnership with the Director of Strategy & Insights, set best practices for prioritizing, documenting, and executing data analysis requests. Skillset
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5+ years of experience in data engineering & analytics with digital platforms. Bachelor’s required, Master’s desirable.
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Expertise in SQL, Python and Bigquery.
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Experience building visualizations to make sense of data.
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Experience setting up or maintaining ELT pipelines for a live product (raw → staging → transformation layers), with preferably more weight on the transformation layer.
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Hands-on data engineering experience with cloud data platforms such as GCP, AWS, or Azure.
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Proven ability to build and maintain data models using dbt, Databricks, or similar tools.
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Familiar with data ingestion and orchestration tools such as Apache Airflow, Airbyte, or Fivetran.
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Familiar with Google Analytics, MoEngage, Mixpanel, or similar product analytics systems, and eager to learn new tools.
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Experience working with high-volume event data from mobile apps or conversational products, and using it to inform product or growth decisions.
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Experience using GitHub for version control and implementing CI/CD pipelines.
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Detail-oriented, self-motivated, and able to work independently as well as collaboratively within a team. Apply Now Spot any inaccurate information? Have a job to share? Let us know.
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