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Full-time

Product Analyst

$80K/yr – $86K/yr

New York, NYIT & TechnologyPosted 30+ Days Ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$80K/yr – $86K/yr

Location

New York, NY

Posted

30+ Days Ago

Job description

Finch is building infrastructure to power every facet of employment. The Product Analyst will support SLA monitoring, provider expansion, and automation initiatives by owning operational workflows, analyzing metrics, building reporting, and coordinating with product, integrations, engineering, and operations teams.

Responsibilities

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

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

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

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

Preferred

1+ years of experience working across multiple datasets preferred

1+ years of experience working across multiple datasets preferred.

Multi-dataset experience

Benefits

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

For applicable roles, commissions plans

Company

Payment assurance services for law firms

Boston, Massachusetts, USA

https://www.legalfinch.co/

Founded in 2021

2-10 employees

Qualifications

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

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

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

1+ years of experience working across multiple datasets preferred

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.

Required skills

SQL, Python, Operational Analytics, Dashboard Development, Metrics Tracking, Structured Data Analysis, Excel, CSV, JSON, Provider and Connection Lifecycle Management, Payroll/HR Systems, Snowflake, Datadog

Experience

2-4 years

Interested in this role?

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