Senior Analytics Engineer

Wave is a company dedicated to making Africa the first cashless continent by providing accessible financial services. As a Senior Analytics Engineer, you will focus on structuring and optimizing data to enhance product offerings for millions of users across multiple countries.

Responsibilities:

• Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users
• 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
• 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
• Creating helpful dbt macros
• CI/CD checks that catch possibly exploding joins
• Reducing the pain of iterating on metric design
• Be responsible for the design, build and health of all of our ETL pipelines
• Champion best practice across data
• Be a key partner in the road map of the data platform team

Requirements:

• 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. This should ideally include experience with performance optimization
• Experience with dimensional modeling. Ideally you would have built two or more dimensional marts
• Strong python, sql and dbt experience
• Familiarity with managing an orchestration platform like dagster or airflow
• Are proficient in SQL and Python
• Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data
• Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details)
• Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data
• You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation