Senior Growth Analyst - Product Analytics at M-KOPA Solar

Key responsibilities include:


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