Business Intelligence, Plaid
$159.6-260.4k
1-5 days a week in office
Data network powering the tools millions of people rely on to live a healthier financial life
Job no longer available
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Job no longer available
$159.6-260.4k
1-5 days a week in office
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- 10+ years of experience in analytics engineering, data engineering, or a related technical data role
- Deep expertise with SQL and dbt, including modular modeling, documentation, and testing
- Proven track record of building source-of-truth data models that support product use cases
- Experience with cloud data warehouses (e.g., Databricks, Snowflake, Redshift, or BigQuery), semantic layers (dbt), version control (Git), and visualization tools (Tableau, Looker)
- Familiarity with instrumentation design and working with product logs or event data
- Experience partnering with Product, Engineering, and Data Science stakeholders to translate business logic into technical data solutions
- Strong focus on data quality, governance, and scalability in analytics workflows
- Clear, concise communication skills and a collaborative, systems-oriented mindset
What the job involves
- As a member of Business Intelligence working directly with our Network Enablement product team, you will be at the forefront of building scalable and reliable analytics foundations that power decision-making across Product, Engineering, and Data Science
- This senior individual contributor role is focused on developing foundational product-data infrastructure, defining and maintaining trusted metrics, and enabling self-serve analytics and AI tooling
- Build and maintain foundational dbt models and curated, source-of-truth datasets that support analytics, experimentation, and decision-making across Product, Engineering, and Data Science
- Collaborate with Product Managers, Engineers, and Data Scientists to translate instrumentation and analytical requirements into well-structured data models
- Develop and enforce standards for metrics, modeling practices, and documentation to ensure consistency and reusability
- Own the full analytics engineering lifecycle—from raw ingestion and transformation to surfacing insights in BI tools like Tableau or Mode
- Partner with Data Science teams to enable experimentation, forecasting, and AI tooling with reliable, structured data
- Partner with Data Engineering to ensure data quality and observability, including testing, alerting, and documentation
- Enable self-serve analytics by building semantic layers and reusable data products that empower teams to independently access trusted insights
- Act as a technical thought partner within the product data domain, contributing to roadmap planning and data architecture decisions
- Unlock insights by ensuring Data Science has clean, structured, and trustworthy data
- Reduce engineering and analytics rework by creating centralized and well-documented metrics
- Accelerate product iteration cycles by enabling Product teams to self-serve key usage and performance metrics
- Improve confidence and consistency in decision-making through robust, well-governed data systems
Our take
Plaid builds infrastructure that allows consumers to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with over 12,000 financial institutions in the US, Canada, the UK and Europe. And about a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs).
The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts. This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
- Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
- Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(Co-Founder & CEO)Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.
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