Analytics Engineer

This is a delivery-focused role: you will carry out the majority of the day-to-day design, development, and operational work directly. You will be Ansh's primary technical owner of our dashboards and data infrastructure, working closely with the M& E and program teams to understand their requirements, with our app developer to ensure data flows cleanly from the app into your dashboards, and with the C-suite to ensure our technology keeps pace with our growth. Our tech team is small, so this role calls for a startup mentality and the initiative to step outside a predefined job description when something needs doing, rather than waiting to be asked.

The candidate will have responsibilities across the following functions:

Own and maintain our data dashboards:

• Take end-to-end ownership of Ansh's data dashboards, maintaining them on an ongoing basis and ensuring they remain accurate, reliable, and fit for purpose as our programs and data needs evolve.
• Own and maintain the BigQuery backend powering our dashboards, including schema design, query performance, and data quality.
• Write and optimise SQL queries to answer ad hoc and recurring questions from the program and leadership team.
• Scope and lead the implementation of new dashboard features, working with the M& E and program teams to translate their requirements into working tools.
• Identify and implement improvements to dashboard efficiency, performance, and reliability as our data volumes grow.
• Integrate new data sources as our programs and data needs expand.
• Lead the merging of data sources from the Ansh app program data and M& E CommCare data.
• Audit existing dashboards and develop new analyses to answer emerging questions from the program and leadership team.
• Identify and resolve data quality issues before they reach leadership, government, or partners.
• Own the dashboard's Trello board to manage and delegate tasks.

Follow good technical practice:

• Apply sound engineering practices to keep our dashboards and app reliable and maintainable as they scale, rather than optimising only for short-term delivery.
• Document your work clearly, so that systems and decisions are understood across the organisation rather than held only by you.
• Recommend new tools or approaches that would help Ansh's team deliver more effectively.

Work closely with the C-suite and program team:

• Partner with M& E and program leads to prioritise what gets built next, based on what will most improve data quality, decision-making, or field operations.
• Bring a technical perspective into planning conversations, so Ansh's data and tooling keep pace with its growth ambitions.

Requirements:

• 3+ years of relevant experience, including hands-on work developing dashboards or data tools (Streamlit or similar Python-based frameworks) and SQL/BigQuery or a comparable cloud data warehouse.
• Strong Python skills, comfortable with data wrangling and turning application-generated data into reliable, decision-ready dashboards and analyses.
• Comfortable using AI-assisted coding tools (e. g. Claude Code) as part of a modern development workflow, with the discipline to keep the resulting code maintainable rather than simply expedient.
• Strong communication skills, with the ability to translate requirements from non-technical colleagues into technical specifications, and to explain technical trade-offs back to them clearly.
• High ownership and agency: comfortable being the primary technical owner of these systems in a rapidly growing organisation, and able to resolve blockers independently.
• Comfortable operating with a startup mentality on a small team, taking initiative and stepping outside a predefined scope of responsibilities when the situation calls for it.
• Fluent in English; based in India and comfortable working remotely with a distributed, mission-driven team.
• Deep alignment with Ansh's mission, and a serious, evidence-based commitment to impact.

Strongly preferred/nice to have:

• Direct experience with GCP/Firebase, including Firestore and BigQuery.
• Experience integrating data from custom-built mobile or field applications into analytics tools.
• Familiarity with data privacy and security considerations for health data.
• Familiarity with git or similar version control systems for managing code changes.
• Comfortable working within agile or task-based workflows (e. g. Trello or similar).
• Fluency in Hindi.