> Markdown version of [/jobs/ext/2153373-analytics-engineer-i](https://www.wearedevelopers.com/jobs/ext/2153373-analytics-engineer-i). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer I - **Company:** After School Matters, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Databases, Information Engineering, Data Infrastructure, Data Warehousing, DevOps, Github, Google Analytics, Python (Programming Language), Mixpanel, Cloud Services, SQL Databases, Data Streaming, Web Platforms, Workflow Management Systems, Data Ingestion, Data Analytics, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://digitalgreen.applytojob.com/apply/WPzVNg83ht/Senior-Analytics-Engineer-I?source=GS ## About the Role * 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. Nice to Have * Experience working across time zones and cultures, synthesizing inputs from product, research, MEL, and country teams into concise recommendations. * Track record of partnering with product or growth teams to define funnels, cohorts, and guardrail metrics for experiments. ## Description 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. FarmerChat's analytics infrastructure is at an early and critical stage. The main goal of this role is to strengthen the data foundation and launch a targeted set of high-priority, high-visibility analytical projects-helping us understand how farmers find, use, and benefit from FarmerChat across India, Kenya, Ethiopia, Nigeria, and other priority geographies. You'll join a lean but growing data and analytics team embedded within FarmerChat's global strategy function, working closely with cross-functional product and tech teams. This is a senior individual-contributor role: you'll set the standards and best practices this function runs on, not just execute against ones already in place., 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., * A clear picture of FarmerChat's current analytics setup, with the key fixes identified for tracking, dashboards, and data flows needed to support scale. * A reliable analytics foundation with dashboards showing how farmers discover and use FarmerChat across regions and genders. * A recurring insights cycle for leadership, donors, and country teams-covering the annual cycle of farmer concerns by geography, key differences between farmer segments, and pest & disease heat maps. Why Digital Green * Develop analytics foundation for a product used by smallholder farmers across five or more countries-from India to Kenya, Ethiopia, and Nigeria. * Work embedded within FarmerChat's global strategy function, partnering closely with product, research, MEL, and country teams. * Set the standards for a growing data and analytics function, with outsized visibility to leadership and donors. * Join a mission-driven organization backed by BMGF, Walmart Foundation, USAID, and UKFCDO. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)