Product Analyst

Job Description

Job Description

About Finch

We are on a mission to revolutionize employment by building the infrastructure that powers every facet of work. To do this, we're looking for individuals who think about problems holistically and in-depth, who are relentlessly curious, self-starters, and determined to drive ideas from inception through to completion.

Finch is a Series B company backed by a fantastic set of firms, angels, and our developers including General Catalyst, Menlo Ventures, Homebrew, BoxGroup, YCombinator, Charley (1st business hire at Plaid), Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more.

About Our Team

We're a team of problem solvers who aren’t afraid to challenge assumptions. We value velocity, curiosity, empathy, and diverse perspectives. Everyone on the team is excited about the scope of the problems we address and the potential impact our work can have on the global workforce. We realize that the value we provide comes with great responsibilities, and therefore make security and privacy our highest priorities.

We come from a diverse set of backgrounds and each member brings different skills to the group. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns.

About the Role

We're looking for a data-driven Product Analyst to support SLA monitoring and tracking, provider expansion, and automation initiatives. This role owns operational workflows end-to-end with a strong emphasis on metrics, tracking, and identifying where processes are off track. This individual will partner closely with product, integrations, and engineering to move work from manual support toward scalable automation.

What You'll Do

Operational Analytics & Reporting

• Monitor SLAs and operational performance across multiple product workflows, flagging misses or anomalies as they emerge
• Investigate root causes behind performance issues and process breakdowns
• Build and maintain actionable reporting and dashboards that surface where processes are on or off track
• Own operational workflows end-to-end, with clear visibility into status, bottlenecks, and outcomes

Provider & Connection Lifecycle Management

• Help drive the full lifecycle of new provider/connection work, including intake, data mapping, cross-team coordination, parallel run support, and handoff toward automation
• Act as a key point of coordination across the stages of provider expansion, ensuring nothing falls through the cracks

Cross-Functional Collaboration

• Partner closely with product, integrations, engineering, and operations teams to identify opportunities to move workflows from manual support to scalable automation
• Communicate progress, blockers, and risks clearly to stakeholders across functions

Independent Execution

• Independently run with ambiguous or evolving problems, owning ongoing processes without heavy oversight
• Set a high bar for execution, both in terms of quality and speed
• Drive follow-through on initiatives from identification through resolution

What You'll Bring

• Data-driven, analytical, and operationally minded, with a track record of using metrics to identify and resolve process issues
• Comfortable working in ambiguous, evolving processes where the path isn't always fully defined
• Strong reporting and analytics skills, with experience building and interpreting operational metrics
• Proven experience handling structured data (Excel, CSV, JSON, etc.)
• Comfortable working in process-heavy, operational environments with multiple moving parts
• Able to independently manage and set clear deadlines across multiple simultaneous projects
• Strong written communication skills and ability to clearly document processes so they can be optimized over time
• Comfortable coordinating with multiple parties and building relationships both internally and externally
• Comfortable working with SQL to locate the right data sources, join tables, and build dashboards you can verify and trust — 1+ years of experience working across multiple datasets preferred.
• Working knowledge of Python for data analysis, scripting, or automation
• 2–4 years of experience in business operations, product operations, business/data analysis, or a related analytical role at a financial, tech, or fintech company.

Success Looks Like

• Familiarity working with payroll/HR systems or retirement
• Experience in a technical support, product operations, or business analyst role — preferably with an API-based or hyper-process-oriented product
• Experience building dashboards and tracking metrics in tools like Sigma
• Familiarity with Snowflake or other cloud data warehouses
• Comfortable digging through logs (e.g., Datadog) to help investigate operational or technical issues.

What We Offer

• Competitive equity with a 10-year exercise window
• Full medical, dental, and vision coverage (100% for employees, 85% for dependents)
• Unlimited PTO 
• 401(k) plan
• Regular team offsites and meetups
• Hybrid work: 3 days/week in our SF or NYC office with lunch any day you're in office

Finch’s compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We want all full-time employees to be invested in Finch and to be able to take advantage of that investment, so our equity grants include a 10-year exercise window.

We also offer exceptional benefits, and, for applicable roles, commissions plans. Our minimum salary range for this role is: $80,000 - $86,000.

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

Finch is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.