Director of Analytics Engineer, Flex
$259-274k
+ Equity
3 days a week in office
Flexible rent payment application
Be an early applicant
Flexible rent payment application
501-1000 employees
Be an early applicant
$259-274k
+ Equity
3 days a week in office
501-1000 employees
Company mission
Flex's mission is to empower as many renters as possible with flexibility over their most significant recurring expense.
Role
Who you are
- 8+ 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, dbt Cloud, and Airflow
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
- Proficiency with Python preferred
- Experience within the fintech space preferred
What the job involves
- Analytics Engineering at Flex sits at the intersection of Data, Product, Engineering, and business objectives.
- As Director, Analytics Engineering you will run the team that enables stakeholders at Flex to easily find the data they need to make decisions.
- You’ll be responsible for developing a world-class analytics platform that powers all data consumption at Flex, as well as managing and developing a team of high-performing Analytics Engineers.
- You'll also be hands-on, leveraging your technical skills to develop data models and build 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
- Develop and lead strategy for data modeling platform and team roadmap
- Manage and mentor a team of Analytics Engineers
- Collaborate with leaders across product & engineering teams to define data requirements and inform architecture/schema design decisions
- 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
Our take
Many people struggle to pay their rent every month, with a variety of bills hitting their bank accounts simultaneously. Whilst many of these people earn enough money to cover their bills, the inflexible nature of monthly bills can make the all-in-one payment a harder obstacle.
Flex provides a mobile application for the flexible payment of rent, allowing users to pay their landlords through flexible payment plans, reschedule payments when necessary, and protect their funds through Overdraft Protection. The company achieves this by partnering with estate agents and paying their resident's bills upfront, taking on the challenges that landlords would normally have due to late payments.
Flex has experienced extremely rapid growth since its founding which has caused some issues, as it struggled to keep up with the surge in new customers. Having made improvements to its product and scaled its customer service team, it is set to continue providing a service that has come to be highly valued by both tenants and landlords.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2022
$160m
SERIES C
Apr 2021
$46.6m
SERIES B
Total funding: $225.1m
Company benefits
- 100% company-paid medical, dental, and vision
- 401(k) + company stock options
- Unlimited paid time off + company paid holidays
- Parental leave + IVF and adoption support
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Pet Insurance
- Free Flex subscription
Company HQ
Midtown Manhattan, New York, NY
Leadership
Shragie Lichtenstein
(CEO)Experience working in venture capital investments for Point72 and TVC. Also co-founded Boundless Reality.
YeTong Shao
(CPO)Experience as Data Science Researcher. Also co-founded Boundless Reality.
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