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Product Analytics Engineer Jobs (NOW HIRING)

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and ...

COREHIRE

Analytics Engineer

Philadelphia, PA

This role partners with business stakeholders, analysts, data scientists, and engineers to deliver high-quality data products and ensure data quality, performance, and reliability. Responsibilities

PUIG

Analytics Engineer

Manhattan, NY

With products sold in more than 150 countries and 5,042 million in net revenue in 2025, and guided ... The Analytics Engineer will partner closely with business stakeholders and collaborate across ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

Responsibilities The Analytics Engineer is a highly technical, business-facing role responsible for delivering deep analytical insights, rapid analytics solutions, and advanced data products in ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$142K/yr

Responsibilities The Analytics Engineer is a highly technical, business-facing role responsible for delivering deep analytical insights, rapid analytics solutions, and advanced data products in ...

eMed LLC

Analytics Engineer

Miami, FL · On-site

... product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented ...

New York Blood Center

Analytics Engineer

Rye, NY · On-site

$142K/yr

Responsibilities The Analytics Engineer is a highly technical, business-facing role responsible for delivering deep analytical insights, rapid analytics solutions, and advanced data products in ...

Ursa Health

Analytics Engineer

$160K - $180K/yr

It's in our DNA that the people building our software products should also be on the front line of ... AVP, Analytics Engineering The Analytics Engineer role is ideal for an experienced analytics ...

Duke University

Analytics Engineer

Durham, NC · On-site

Analytics Engineer, Data Analytics Practice Be You. The Data Analytics Practice within Duke ... Experience developing reusable analytical applications, workflows, or data products. * Experience ...

eMed LLC.

Analytics Engineer

Miami, FL · On-site

... product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented ...

Duke University

Analytics Engineer

Durham, NC · On-site

Analytics Engineer, Data Analytics Practice Be You. The Data Analytics Practice within Duke ... Experience developing reusable analytical applications, workflows, or data products. * Experience ...

Puig

Analytics Engineer

Manhattan, NY · On-site

With products sold in more than 150 countries and €5,042 million in net revenue in 2025, and ... The Analytics Engineer will partner closely with business stakeholders and collaborate across ...

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Product Analytics Engineer information

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$53K

$144.1K

$205K

How much do product analytics engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for product analytics engineer in the United States is $144,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $205,000.00 per year, depending on experience, location, and employer.

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Cities with the most Product Analytics Engineer job openings:

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Data Analytics Engineer

San Francisco, CA • On-site

Parafin, Inc
See more jobs at Parafin, Incexternal

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations. You'll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses.
Are you a curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
What You'll Be Doing:
  • Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
  • Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
  • Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
  • Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
  • Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
  • Monitor data quality, investigate discrepancies, and improve the reliability of our data.
  • Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.

What We're Searching For:
  • 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
  • Strong SQL skills.
  • Experience working with relational databases and data warehouses.
  • Experience with Python or another scripting language.
  • Familiarity with dbt or a desire to learn modern analytics engineering tools.
  • Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

We Prefer If You Have:
  • Knowledge of data modeling and analytics engineering best practices.
  • Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
  • Experience with Git and version control.
  • Familiarity with Airflow, Dagster, or other workflow orchestration tools.
  • Experience working with financial services, lending, payments, or product analytics data.
  • Experience in a startup or other fast-paced, high-growth environment.

What We Offer
  • Salary Range: $180k - $220k
  • Equity grant
  • Medical, dental & vision insurance
  • Unlimited PTO
  • Work from home flexibility
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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