Data Analytics Engineer
ABOUT OUR COMPANY:
Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $4+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $70 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners and more.
But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..
ABOUT OUR WORKPLACE:
We’re friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We’re good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.
ABOUT THE ROLE:
We are actively seeking a skilled Analytics Engineer to join our dynamic team. You’ll be collaborating closely with analysts, data engineers, product managers, marketers, and financial analysts to deeply understand their problems and goals, and then design and prioritize solutions to help achieve those goals. If you have an interest in leading the strategy and execution of our analytics roadmap with the goal of scaling our data products to be more accessible, self-serve, reliable, and digestible for all employees across the company, this role will be a great opportunity to make a big impact on Splash!
WHAT YOU’LL DO AT SPLASH:
- Write and ship a lot of code for reliable data models and pipelines in partnership with Data Engineering adhering to software lifecycle, including CI/CD
- Mostly work within dbt (SQL, Jinja) and Snowflake
- Build visualizations using BI tools such as Sigma. Strong hands-on experience with reporting is a major plus
- Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs
- Design and develop high-performance data pipelines mostly in Fivetran
- Monitor data systems to ensure quality and availability while seeking to drive down costs
- Contribute to the team processes and community
WHAT YOU’LL BRING TO SPLASH:
- Bachelor’s degree or equivalent required from an accredited institution.
- At least 3-5 years of experience in Information Technology especially with data modeling, data warehousing in cloud, SQL, Snowflake, and data visualization tools
- Strong 5+ years’ experience working on BI tools like Tableau, PowerBI, Sigma, Sisense, etc. Strong hands-on experience with reporting is a major plus
- Experience with GitHub and CI/CD process is a must-have
- Proven experience working on data and data modeling (very strong in SQL, and visualization skills) and experience working with data modeling tools like DBT
- Experience working with financial and/or marketing data is a huge plus
- Understanding of data transformation using a programming language like Python, Scala, etc. while not necessary it is nice to have
BENEFITS:
- Comprehensive and affordable insurance benefits
- Unlimited paid time off policy
- 401(k) enrollment
- 9 paid company holidays
- Paid parental leave
Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.
Share
Alternative Jobs
Popular searches
- Nuxt.js Jobs
- GIT Jobs
- React Native Jobs
- Flutter Jobs
- EC2 Jobs
- Bun Jobs
- React Jobs
- Elasticsearch Jobs
- AWS Jobs
- gRPC Jobs
- JSON Jobs
- Azure Jobs
- .NET Core Jobs
- Vue Jobs
- TDD Jobs
- Blockchain Jobs
- GraphQL Jobs
- Cypress Jobs
- MongoDB Jobs
- CSS Jobs