Job Title: Senior Analytics Engineer Company Name: Wave Job Details: $123.5-176.4k+,EquitySQLPythonAirflowExceldbtSenior,and,Expert,levelRemote,from,US,,Canada,,Spain,,UKMore,information,about,location Job Url: https://app.welcometothejungle.com/jobs/aRw9E25v?theme=has-salaries Job Description: Role Who you are 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 What the job involves 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. This involves working closely with domain partners to understand what’s useful to them and what’s not 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 mind 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, folk in this role will also Be responsible for the design, build and health of all of our ETL pipelines. Part of the role includes being ‘on-duty’. On duty responsibilities require that you have a working understanding of most parts of the stack Champion best practice across data Be a key partner in the road map of the data platform team Share this job Report a problem with this job Hide company View 5 more jobs at Wave Insights Top investors 9% employee growth in 12 months Glassdoor (4.6) Company Company benefits Subsidised health insurance for you and your dependents (vary from country to country) 6 months 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 Retirement contributions (vary from country to country) Yearly travel to one of our African operating countries Funding (last 2 of 3 rounds) Mar 2022 $10m LATE VC Sep 2021 $200m SERIES A Total funding: $210.2m Our take Because of things like high fees and a lack of local branches, about half of the adults in Africa still do not have a bank account. Although this is an improvement on past estimates, the continent is still significantly underbanked - which is what Wave helps to combat. Wave addresses this banking gap with technology, offering a straightforward and cost-effective tool accessible via mobile. The impact has been substantial. A 2021 GSMA report suggested over 500 million mobile money accounts were registered in Africa, facilitating transactions valued at nearly $500 billion. Wave has already established its presence in Senegal, Côte d'Ivoire, Uganda, Burkina Faso, Gambia and Mali, using steady investment to expand its footprint and reach unicorn status. It also continues to enhance product development and engineering efforts, as well as shore up business operations. Despite challenger companies emerging, Wave has a considerable head start on the competition. Kirsty Company Specialist at Welcome to the Jungle