At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.
Job Description
- Building our Looker analytics layer: Collaborate with analytics engineers to create reusable LookML data models, set up governed metrics, automated data tables, user permissions, and use Git for version control
- Moving from spreadsheets to a single source of truth: Audit Excel files, recreate them as data models using dbt, and replace manual tracking with automated Looker dashboards
- Leading the transition to data-driven tools: Help teams migrate from manual spreadsheet tracking to automated dashboards, including migrating funnel data input into structured systems
- Building automated dashboards: Create dashboards for upgrade conversion rates, repeat purchase behaviour, customer lifetime value (LTV), and unit economics
- Designing agent performance and incentive analytics: Build dashboards tracking call volume, conversion rates, talk time efficiency, lead quality, and revenue per agent. Design data-driven incentive structures and real-time leaderboards
- Calculating and tracking customer lifetime value: Build models estimating profit per customer cohort and track early signals predicting long-term value
Your Analytics Environment
Tools & Technologies:
- Data transformation: dbt, SQL
- Visualization: Looker, LookML
- Product analytics: Amplitude, Mixpanel, Statsig
- CRM & engagement: Braze, CleverTap, Fresh Desk
- Analysis: Python or R
- Data pipeline: Fivetran, Stitch, Airbyte
- Version control: Git
Required Experience:
- Proven track record in product analytics at fintech, telco, e-commerce, or subscription company
- Strong SQL skills and experience with dbt for building reliable data models
- Hands-on experience with Looker (dashboards, LookML, data governance and permissions)
- Python or R for analysing experiments, building cohort models, and calculating customer lifetime value
- Experience combining data from multiple sources (Amplitude, Mixpanel, Statsig, Braze, CleverTap, call-center data)
- Understanding of experiment design and analysis
- Experience designing performance metrics and incentive structures.
Method of Application
Meet the Qualifications? Apply now at M-KOPA Solar on jobs.ashbyhq.com