Data Analytics Engineer, SaaS Analytics Solution (data warehouse + adv SQL exp. req.)
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Job Location:
Washington, AR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Data Analytics Engineer SaaS Analytics Solution (data warehouse adv SQL exp. req.)
Location: Washington DC
Salary: $150000 - $225000 (DOE) Bonus Benefits
Benefits: Health Insurance 401k plan PTO Paid Holidays
Job Type: Full-Time Hybrid In Office 2x/week
Typical Hours: Monday-Friday 40 hours/week
Start Date: ASAP
Sponsorship is not available
Data Analytics Engineer SaaS Analytics Solution Description
Our client is a fast-growing SaaS company in the FinTech space providing cutting-edge solutions. Led by seasoned executives behind platforms like Workday and Zuora the company offers a high-impact product-led environment at the intersection of finance and technology. They are seeking a hands-on Data Analytics Engineer to join their team in Washington DC. The ideal candidate brings hands-on end-to-end development experience in data analytics or reporting solutions as well as expertise in data warehouses (ex. Snowflake or similar) and BI visualization tools (ex. Google Looker or similar) with a strong command of complex SQL and data this role you will build and optimize the companys analytics infrastructure designing robust data pipelines crafting advanced SQL transformations and developing scalable interactive dashboards that deliver real-time insights. If you thrive in fast-paced startup environments and are passionate about building clean efficient data systems from the ground up this is a unique opportunity to take ownership of the reporting stack and shape the future of analytics at a modern FinTech SaaS company.
Data Analytics Engineer SaaS Analytics Solution Responsibilities
Architect and build scalable data pipelines and analytics
Develop and manage data warehouses with an emphasis on Snowflake
Create and maintain data models and dynamic dashboards in Looker
Write and maintain complex SQL queries for large real-time datasets
Develop scalable ELT pipelines using Python
Create dashboards and visualizations that provide business insights
Integrate data from multiple sources and ensure consistency and performance
Continuously improve data accessibility performance and reliability
Partner cross-functionally to define KPIs and BI architecture
Document system design data flows and integration points
Collaborate on the future roadmap for analytics platforms
Data Analytics Engineer SaaS Analytics Solution Qualifications
5 years of end-to-end data analytics solution development experience required
5 years of data warehouse (e.g. Snowflake Click House Redshift etc.) experience required
5 years of advanced SQL (joins window functions CTEs subqueries) experience required
5 years of Python for analytics automation and pipeline development experience required
Familiar with event-based data (e.g. Segment Amplitude) and real-time pipelines required
Experience in a start-up environment required
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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