Senior Analytics Engineer
@ Wave Mobile Money

Hybrid
$155,000
Hybrid
Full Time
Posted 21 hours ago

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Job Details

About Wave Mobile Money

Our mission is to make Africa the first cashless continent. In regions where traditional banking is inaccessible and expensive, Wave Mobile Money builds financial services that are no-fee, instantly available, and widely accepted. Operating in 9 countries with millions of users, Wave is revolutionizing financial inclusion.

Role Overview

As a Senior Analytics Engineer at Wave Mobile Money, you will ensure that our data is easy, safe, and reliable to use, thus enabling better products for our customers.

Key Responsibilities

  • Lead dimensional design and structure analytics data for human and AI end users.
  • Develop facts, dimensions, and One Big Tables (OBTs) where needed.
  • Standardize metric creation, build context for LLMs, and manage our Snowflake estate.
  • Create tools for optimizing patterns, managing stale models, and measuring performance impacts.
  • Design, build, and monitor the health of all ETL pipelines and analytics workflows.
  • Champion best practices across data and partner with the data platform team.

Additional Details

  • This is a fully remote role with candidates based in eligible talent hubs or operating markets in Africa.
  • Includes a yearly $1,200 stipend for co-working meet ups and periodic travel to operational markets.
  • Competitive salary and generous equity package are provided.
  • Major benefits include subsidized health insurance, parental leave, flexible vacation, and charitable donation matching.

Requirements

  • 5+ years as an analytics or data engineer, including software engineering experience on data platforms.
  • 3+ years of hands-on experience with Snowflake, performance optimization, and dimensional modeling.
  • Strong skills in Python, SQL, and dbt.
  • Experience with orchestration platforms such as Dagster or Airflow.

Candidate Profile

If you excel at SQL and Python, are a self-starter, can clearly present findings, and effectively choose the complexity of analysis needed, you might be a great fit for this role.

About the Team

Wave Mobile Money boasts a rapidly growing team across Africa and globally, driven by a commitment to provide radically affordable financial services. With strong investor backing (including Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa), this is a high-growth, impact-driven environment.

How to Apply

Fill out the application form, upload your resume (in English), and include a cover letter detailing your interest in Wave and this role.

Key skills/competency

  • Analytics
  • Data Engineering
  • Dimensional Modeling
  • Snowflake
  • Python
  • SQL
  • dbt
  • ETL
  • Data Optimization
  • CI/CD
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How to Get Hired at Wave Mobile Money

🎯 Tips for Getting Hired

  • Research Wave Mobile Money's culture: Study their mission, investor news, and team testimonials.
  • Customize your resume: Tailor skills in analytics, Snowflake, Python, SQL, and dbt.
  • Highlight dimensional modeling expertise: Emphasize experience with data pipelines and ETL.
  • Prepare for interviews: Review case studies on data optimization and performance tuning.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Study Snowflake performance tuning methods.
Practice building ETL pipelines using dbt.
Familiarize with orchestration tools like Airflow.

Behavioral Questions

Describe a challenging data project and resolution.
Explain your approach to cross-team collaboration.
Detail a time you optimized a slow pipeline.
Share how you manage competing project priorities.

Frequently Asked Questions