Senior Analytics Engineer

Role Description

Wave is now the largest financial institution in Senegal, with over 7 million users, and we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. As a Senior Analytics Engineer, you will work to make Wave’s data easy, safe, and reliable to use, enabling better products for our customers.

Some examples of focus areas are:

• Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users. Examples of what you might work on:
  • Building out facts, dimensions, and One Big Tables (OBTs) as appropriate for a focus area at Wave.
  • Standardizing metric creation and usage.
  • Building out ways to make it easy to add context for LLMs to data models.
• Managing our extensive Snowflake estate with a strong analytical mindset. Examples of what you might work on:
  • Finding patterns that are repeated frequently and optimizing them.
  • Building tools to identify and turn off stale/unused models.
  • Evaluating the impact of an optimization on costs and performance.
• Building tools to improve the analytics development experience. Examples of what you might work on:
  • Creating helpful dbt macros.
  • CI/CD checks that catch possibly exploding joins.
  • Reducing the pain of iterating on metric design.

Outside of the focus areas, you will also:

• Be responsible for the design, build, and health of all of our ETL pipelines.
• Champion best practices across data.
• Be a key partner in the roadmap of the data platform team.

Qualifications

• 5+ years as an analytics or data engineer. Software engineering experience that's focused on data platforms also counts.
• 3+ years of involved experience with Snowflake, ideally including experience with performance optimization.
• Experience with dimensional modeling, ideally having built two or more dimensional marts.
• Strong Python, SQL, and dbt experience.
• Familiarity with managing an orchestration platform like Dagster or Airflow.

Requirements

• Proficient in SQL and Python.
• A self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data.
• Excellent focus, prioritizing your research and work using an iterative approach.
• Able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data.
• Excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation.

Benefits

• Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
• 6 months of fully paid parental leave and subsidized fertility assistance.
• Flexible vacation, with most folks taking between 30-40 days per year.
• $10,000 annual charitable donation matching.

Company Description

Wave provides a yearly $1,200 stipend to support co-working meet-ups with teammates. Remote team members are expected to travel to our operational markets (e.g., Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we’ve found this key to understanding our users and product. Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of $123,500 - $176,400 USD, paid in your local currency equivalent plus a generous equity package.

We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world. We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.

We raised the largest Series A in Africa in 2021. Our world-class investors include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.