We are looking for an enthusiastic and driven data analyst to support our busy Impact and Evaluation team. The role offers the chance to work across a varied technical stack, including Python for metrics calculation, Power BI for reporting, and opportunities to work with econometrics and a lakehouse platform. It is a role where innovation, collaboration and personal growth are valued.
Responsibilities
* Calculate and report on SMART KPIs to inform progress and performance reporting to funders, senior management and the board.
* Contribute to project and programme impact analysis and evaluation studies across a range of programme areas.
* Improve the automation of KPI calculation, refresh cycles and reporting pipelines.
* Create and manage data systems for reporting needs.
* Coordinate with data owners across the Catapult and support the broader administrative workflow.
* Design and develop analytical solutions using a variety of technologies and techniques, and support the production of reports to meet stakeholder needs.
* Ensure agreed reporting and monitoring processes are implemented to track progress toward delivering intended impacts.
Required Experience
* Comfortable conducting high‑quality, reliable data analysis and delivering insights.
* Ability to respond to evolving ad‑hoc requests from senior executive teams and other stakeholders and reprioritise work as demanded.
* Working knowledge of Python, including common data structures (DataFrames, dictionaries, lists, JSON) and how data flows through an analytical pipeline.
* Proficiency in Power BI for dashboarding and reporting, and a good understanding of Power Apps for building lightweight internal tools.
* Familiarity with Power Automate for workflow automation is useful.
* An automation mindset: able to identify repetitive reporting tasks and work to automate them so KPIs refresh reliably with minimal manual intervention.
* Team player with the ability to build good working relationships across the organisation and with data owners.
Desirable
* Economic and econometric knowledge, particularly difference‑in‑differences and propensity score matching.
* Experience with Databricks or another lakehouse platform (e.g. Microsoft Fabric, Snowflake) and writing SQL queries for data extraction and transformation.
Benefits
* Hybrid policy: one ‘anchor’ day per week working with your direct team and another flexible day per week for collaboration or working with other colleagues.
* Regular feedback and touchpoints with management to support personal and professional development.
* Opportunities to share skills through training and mentoring.
We also invite you to share feedback via Applied.
At Satellite Applications Catapult, we are committed to fostering an inclusive and diverse workforce. We welcome candidates from all corners of the globe, and we strive to provide equal opportunities for all.
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