Posted:12 minutes ago
By:Hiring Kenya
Company Details
Industry:
Electrical/Electronic Manufacturing
Description:
M-KOPAโs mission is to make high quality energy affordable to everyone. OUR GROWTH SO FARโฆ M-KOPA has connected more than 400,000 homes in Kenya,Tanzania and Uganda to solar power with over 550 new homes being added every day. Each 8W battery powered-system comes with three lights, mobile phone-charging and a solar powered radio. Customers can now opt for a 20W system with digital TV. As of July 2016, M-KOPA has connected over 400,000 homes to affordable solar power. Current customers will make projected savings of US$ 300 Million over the next four years. M-KOPAโs customers will enjoy 50 million hours of kerosene-free lighting per month. Total employment created in East Africa is 2,500. In March 2016, M-KOPA emerged boldest at Financial Times Arcelor Mittal- Boldness in Business Awards in the Developing Markets category. In February 2016, M-KOPA was recognised as the Best Mobile Innovation for Emerging Markets at the Global Mobile Awards. In 2015, M-KOPA was recognised by Fortune Magazine as one of the Top 5
Job Description
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
Salary: Discuss During Interview
Education: Diploma
Employment Type: Full Time
