AMI helps entrepreneurs and managers across Africa grow businesses and create jobs through practical learning and data-driven solutions. We are hiring a senior-leaning Impact Insights Analyst to sit in the Impact Intelligence team. You will turn analysis-ready data into clear insights segmentations dashboards and recommendations that guide program and client decisions. Youll partner closely with our Data Warehouse team which owns ingestion and data modelling; you own the analysis plan data quality for decision-making and the insight layer.
Data readiness and quality for analysis Define validation checks write QA queries document assumptions and raise/track fixes with the warehouse team. Maintain lightweight data dictionaries for programme diagnostic and survey datasets.
Analytics and segmentation Lead descriptive diagnostic and basic inferential analyses. Build rule-based and clustering segmentations (e.g. k-means) suited to MSMEs. Run cohort/retention analysis and simple regressions to test hypotheses.
Dashboards and storytelling Build decision-focused dashboards in Metabase. Produce short memos and partner-ready slides that move from what to so what to now what.
Stakeholder enablement Run office hours and quick trainings for non-technical colleagues. Track adoption of your outputs and iterate based on feedback.
Impact and MEL support Own analysis plans question banks and insight narratives for impact reporting and learning agendas; contribute insight assets to proposals and client presentations.
Data governance in practice Apply AMI privacy and consent standards. Promote reproducible analysis with versioned notebooks and documented SQL.
Boundary of role This role does not own ETL pipelines raw schema design or infrastructure; you collaborate with the warehouse team on those.
Qualifications & Experience
5 to 7 years applied analytics experience with programme survey or enterprise datasets ideally across African contexts.
Advanced SQL in production settings including joins window functions CTEs and quality checks.
Proficiency in Python or R for analysis and validation workflows.
Strong BI skills in Metabase (preferred) Power BI or Tableau with a portfolio of decision-driving dashboards.
Proven track record translating analysis into clear recommendations for non-technical audiences.
Excellent written and verbal communication in English; comfortable working independently in a distributed fast-paced team.
Skills & Attributes
Advanced SQL skills (must-have). Demonstrable advanced SQL (window functions/CTEs) and BI dashboarding experience.
Strong data visualization skills (Metabase Tableau Power BI or similar).
Analytical rigor and statistical thinking hypothesis testing basic regression cohort/retention logic.
Segmentation design sound feature selection validation and business interpretability.
Experience with MSME or learning datasets MEL frameworks financial inclusion or market research.
Survey tools familiarity Kobo SurveyMonkey Qualtrics.
Exposure to dbt and Git for reproducible analytics; familiarity with BigQuery/Postgres/Snowflake.
Visualization craft crisp layouts good chart choices and a bias to actionable insights.
Documentation and reproducibility clean SQL version control habits clear assumptions.
Stakeholder empathy ability to coach simplify and influence decisions.
High ownership integrity and follow-through.
A high-impact diverse and ambitious team with common values:
Be the best: We work really hard are proud of what we do and love delighting our clients with quality.
Own it: We step up to the task never pass the buck and hold ourselves accountable for delivering results.
Push the limits: We ask why embrace failure and try new things. We never settle.
Do whats right: We act with integrity confront dishonesty treat people fairly and strive to contribute to the greater good
Always care: We dont have ego its always team before me. We are kind we celebrate each others success and we care enough to give honest feedback.
A dynamic office & team life:
Brand new offices in Kigali Rwanda
Monthly team social events and yearly offsite
Regular learning and coaching opportunities
A hybrid working model.
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