Sr. Staff Analytics Engineer
New York, NY
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated · location limits — work setup source
Experience within the fintech space This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program. Compensation
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingYou'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product.
Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
From the employer’s posting
The Role As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions. You'll do this by leveraging your technical skills to develop better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product. As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex. You Will:
You Will: Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company Collect business requirements, define successful analytics outcomes, and design data solutions
Tools in this posting
- SQL
- dbt
- Sigma
- Snowflake
- Tableau
Source — Tool mentions in context
- 6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale - Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries - Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
- Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.) - Expert proficiency with dbt or similar data modeling tool - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
- Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries - Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.) - Expert proficiency with dbt or similar data modeling tool
Benefits in the posting
Full benefits wording- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Free Flex subscription
- Unlimited PTO
From the employer’s posting.
Job description
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
The Role
As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions. You'll do this by leveraging your technical skills to develop better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product. As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex.
You Will:
- Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
- Collect business requirements, define successful analytics outcomes, and design data solutions
- Set company-wide standards for data regarding structure, quality, and expectations
- Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way
You Have:
- 6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
- Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
- Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
- Expert proficiency with dbt or similar data modeling tool
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
- Experience within the fintech space
This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program.
Compensation
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY
- Experience within the fintech space This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program. Compensation
More source context
Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 13, 2026
- Recorded sightings
- 12
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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