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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.

• Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users. Examples include:
• 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 include:
• 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 include:
• 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 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 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 research and work using an iterative approach.
• Able to compellingly present 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

• Yearly $1,200 stipend to support co-working meetups with teammates.
• Remote team members are expected to travel to operational markets at least once a year.
• Competitive salaries calculated using a transparent formula, with a salary range of $123,500 - $176,400 USD, plus a generous equity package.
• Subsidized health insurance for you and your dependents and retirement contributions (varies by country).
• 6 months of fully paid parental leave and subsidized fertility assistance.
• Flexible vacation, with most employees taking between 30-40 days per year.
• $10,000 annual charitable donation matching.