Sr. Staff Analytics Engineer
Lead the development of data models and solutions to empower decision-making at Flex, a growth-stage FinTech company.
Posted by employer 1 day ago
First seen on Joblaze 9 hours ago
Last verified on the company career page 9 hours ago
What you'll build
- Lead the development of data models
- Collect business requirements
- Define successful analytics outcomes
- Design data solutions
- Set company-wide standards for data
Must have
- 6+ years as an analytics engineer or equivalent
- Expert knowledge of SQL
- Experience with data warehouses
- Expert proficiency with dbt or similar data modeling tool
- Strong perspective on analytics engineering development cycle
- Experience within the fintech space
Nice to have
- Familiarity with common BI tools
Practical constraints
- Hybrid position with on-site expectations of 3 days per week
Requirements
- Experience
- 6+ years
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Senior Staff Analytics Engineer at Flex, the individual will focus on developing data models and solutions that empower stakeholders to access and utilize data effectively for decision-making. Key skills include expertise in SQL, familiarity with data warehouses like Snowflake, and proficiency in data modeling tools such as dbt. This position is ideal for someone with over six years of experience in analytics engineering, particularly within the fintech sector, who is looking to contribute to a collaborative data culture in a growth-stage company.
Joblaze insights
- Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Flex's careers page October 21, 2026.
- This exact title is also open at 1 other location at Flex: New York, NY.
- Salary band is above the typical range for Data Engineering roles (median ~$180,656).
- Starts above 23% of 22 comparable staff data engineering roles in United States that list SQL we track (median $218,500 across 12 companies). See SQL salary trends
- SQL appears in 46.3% of 54 comparable staff data engineering roles in United States; Sigma Computing appears in 1.9% of 54 comparable staff data engineering roles in United States.
Quick facts
- Is the Sr. Staff Analytics Engineer role remote?
- It's hybrid — Flex expects some on-site time in New York, NY, United States.
- What's the salary range?
- Flex lists $200,000–$240,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Sr. Staff Analytics Engineer role.
- Where is the role based?
- Flex is hiring for this position in New York, NY, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Mode, SQL, Sigma Computing, Snowflake, Tableau, dbt.
- What seniority level is this role?
- Flex targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Staff Analytics Engineer role at Flex.
From the original posting
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
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
Standard company text repeated across Flex's postings is omitted here.