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Heap Product Analytics Jobs (NOW HIRING)

FinQuery

Product Engineer

Atlanta, GA

$100K - $130K/yr

Experience using product analytics tools (e.g., Mixpanel, Pendo, Heap) and SQL queries to validate hypotheses and measure feature success. * High-Bandwidth Communication: Exceptional ability to ...

FinQuery

Product Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Experience using product analytics tools (e.g., Mixpanel, Pendo, Heap) and SQL queries to validate hypotheses and measure feature success. * High-Bandwidth Communication: Exceptional ability to ...

FinQuery

Product Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Experience using product analytics tools (e.g., Mixpanel, Pendo, Heap) and SQL queries to validate hypotheses and measure feature success. * High-Bandwidth Communication: Exceptional ability to ...

SpotOn

Senior Product Analyst (dbt)

Austin, TX · On-site

$119K - $142K/yr

Scale Analytics Through Governance : Establish clear intake workflows, project boundaries, and self ... Heap) or flexible business intelligence platforms (e.g., Metabase). * AI Fluency: Active use of ...

SpotOn: Sales

Senior Product Analyst (dbt)

Austin, TX · On-site

$119K - $142K/yr

Scale Analytics Through Governance : Establish clear intake workflows, project boundaries, and self ... Heap) or flexible business intelligence platforms (e.g., Metabase). * AI Fluency: Active use of ...

SpotOn

Senior Product Analyst (dbt)

Chicago, IL · On-site

$119K - $142K/yr

Scale Analytics Through Governance : Establish clear intake workflows, project boundaries, and self ... Heap) or flexible business intelligence platforms (e.g., Metabase). * AI Fluency: Active use of ...

Fay

Product Manager, Scale

New York, NY · On-site

Strong analytical chops: proficient in SQL and/or product analytics tools (Mixpanel, Amplitude, Heap, etc.), plus spreadsheets and BI tools. You can do your own data exploration without waiting for ...

Fay

Product Manager, Scale

New York, NY · On-site

Strong analytical chops: proficient in SQL and/or product analytics tools (Mixpanel, Amplitude, Heap, etc.), plus spreadsheets and BI tools. You can do your own data exploration without waiting for ...

Fay

Product Manager, Scale

San Francisco, CA

Strong analytical chops: proficient in SQL and/or product analytics tools (Mixpanel, Amplitude, Heap, etc.), plus spreadsheets and BI tools. You can do your own data exploration without waiting for ...

MLabs

Founding Data Lead

Jersey City, NJ · On-site

Working knowledge of data orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) and proficiency with product analytics platforms (e.g., Amplitude, Mixpanel, PostHog, Heap). * Communication:

MLabs

Founding Data Lead

Jersey City, NJ

Working knowledge of data orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) and proficiency with product analytics platforms (e.g., Amplitude, Mixpanel, PostHog, Heap). * Communication:

Career Renew

Founding Data Lead - Fintech

Jersey City, NJ · On-site +1

$180K - $220K/yr

Proficiency with a product analytics platform (Amplitude, Mixpanel, PostHog, Heap, or similar). PREFERRED QUALIFICATIONS * Experience with blockchain data: onchain indexing, subgraphs, multi-chain ...

MeUndies

Director, Digital Product

Culver City, CA · On-site

$150K - $175K/yr

Significant experience working with product analytics software like Heap, GA, and Fullstory * A/B testing experience, ability to apply learnings to site merchandising improvements * Working knowledge ...

CSC Generation

Director of AI Analytics

OR · Remote

... productivity, forecast alignment). * Establish validation frameworks to pressure-test AI-generated ... Web, Customer & Commerce Analytics (Heap) * Own web and digital analytics strategy using Heap ...

CSC Generation

Director of AI Analytics

... productivity, forecast alignment). * Establish validation frameworks to pressure-test AI-generated ... Web, Customer & Commerce Analytics (Heap) * Own web and digital analytics strategy using Heap ...

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Showing results 1-20

All JobsHeap Product Analytics Jobs

Heap Product Analytics information

See salary details

$53K

$144.1K

$205K

How much do heap product analytics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for heap product analytics 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.

What is the difference between Heap Product Analytics vs Heap Data Analyst?

AspectHeap Product AnalyticsHeap Data Analyst
Primary FocusAnalyzing product usage data to improve user experience and product featuresInterpreting data to support business decisions across various departments
Required SkillsProduct analytics tools, user behavior analysis, product lifecycle understandingData querying, statistical analysis, reporting, and visualization
Work EnvironmentProduct teams, marketing, and user experience departmentsBusiness units, marketing, finance, and operations teams
Common CertificationsGoogle Analytics, SQL, data analysis certificationsSQL, Excel, data visualization certifications

Heap Product Analytics specialists focus on understanding user interactions within products to optimize features and improve user experience. In contrast, Heap Data Analysts interpret data across various business functions to inform strategic decisions. While both roles require data analysis skills and familiarity with Heap tools, their core objectives and work environments differ significantly.

What does heap analytics do?

Heap Product Analytics is a role focused on using Heap software to collect and analyze user data for product improvement. It involves setting up event tracking, interpreting data insights, and supporting data-driven decision-making to enhance user experience and product performance.

What are some common challenges faced by Heap Product Analytics professionals when collaborating with cross-functional teams?

Heap Product Analytics professionals often work closely with product managers, engineers, and designers to translate business questions into measurable analytics events and actionable insights. A common challenge is ensuring that all stakeholders have a shared understanding of the data being collected, as misalignment can lead to tracking gaps or misinterpretation of results. Effective communication and documentation are key to bridging technical and non-technical perspectives. Additionally, adapting analyses to shifting business goals and product changes can require flexibility and ongoing coordination with the wider team.

What are the key skills and qualifications needed to thrive as a Heap Product Analytics professional, and why are they important?

To excel in Heap Product Analytics, you need a strong background in data analysis, statistics, and product management, often supported by a relevant degree in analytics, computer science, or a related field. Familiarity with Heap's analytics platform, SQL, data visualization tools like Tableau, and experience with A/B testing are typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help professionals effectively translate data insights into actionable business decisions. These skills ensure you can derive meaningful insights from user data, drive product improvements, and support strategic organizational goals.

Is data analytics a growing job market?

The field of data analytics, including roles like Heap Product Analytics, is experiencing significant growth due to increasing reliance on data-driven decision making across industries. Demand for skilled analysts with knowledge of tools like SQL, Python, and analytics platforms continues to rise, making it a promising career path.

What is heap product?

Heap Product Analytics is a role focused on analyzing user data to help companies understand product usage and improve user experience. It involves working with analytics tools, interpreting data, and providing insights to guide product development decisions.

What does product analytics do?

Product analytics involves collecting and analyzing data on how users interact with a product to understand usage patterns, identify issues, and inform decision-making. It helps teams optimize features, improve user experience, and drive product growth using tools like analytics platforms and data visualization. Professionals in this field often work with data analysis skills and may hold certifications in analytics or data science.

What is Heap Product Analytics?

Heap Product Analytics is a digital analytics platform that automatically captures user interactions on websites and mobile applications. It enables businesses to track user behaviors such as clicks, page views, and form submissions without manual event tagging. With Heap, organizations can analyze user journeys, identify trends, and make data-driven decisions to improve their products. The platform is particularly valued for its automatic data capture, retroactive analysis capabilities, and ease of use for non-technical users.
More about Heap Product Analytics jobs
What cities are hiring for Heap Product Analytics jobs? Cities with the most Heap Product Analytics job openings:
What states have the most Heap Product Analytics jobs? States with the most job openings for Heap Product Analytics jobs include:
What job categories do people searching Heap Product Analytics jobs look for? The top searched job categories for Heap Product Analytics jobs are:
Heap Product Analytics jobs near you
Infographic showing various Heap Product Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.

Product Engineer

FinQuery

Atlanta, GA

$100K - $130K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago

Job description

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts-like leases, prepaids, and accruals-that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.
 
FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.

Solve the Problems That Matter Most:

At FinQuery, we've eliminated the game of telephone between the people who talk to users and the people who write the code. We turned the traditional Product Owner role inside out, moving toward a high-autonomy model where Product Engineers own both the "Why" and the "How." In this role, you aren't just receiving a backlog of technical specs, you are the strategist, the user researcher, and the builder. You will deeply understand our customers' financial compliance workflows, define the product vision, and then turn around and write the clean, production-grade code to make it a reality. We are looking for a rare hybrid: someone with the sharp product intuition of a veteran Product Manager, backed by the strong technical foundation of a Software Engineer.

How You'll Make an Impact

  • Drive Product Strategy & Execution: Own the roadmap for your feature surface area. You will conduct user discovery, analyze behavior metrics, and prioritize what to build next based on business impact.

  • Bridge Vision and Code: Eliminate the friction between product requirements and technical design. You will translate highly complex financial and accounting standards (like ASC 842 and GASB 87) into elegant data models and intuitive software workflows.

  • Ship Production-Grade Code: Actively build, test, and deploy the features you define. You will write clean backend logic, design schemas, and ensure your code is secure, scalable, and auditable.

  • Amplify Through AI: Leverage LLM-powered development tools, copilots, and automation as a core part of your daily workflow to accelerate execution, allowing you to spend more time on high-level product design and architecture.

  • Own the Metrics: You aren't done when the code is merged. You will track feature adoption, gather user feedback, and iterate continuously to ensure your technical solutions solve real business problems.

The Expertise You'll Bring:

  • The Product Mindset: 5+ years of experience in a product-focused role (Product Manager, Product Owner, or Product Engineer) where you routinely owned feature definition, user research, and roadmapping.

  • Strong Technical Backing: 3+ years of professional software engineering experience. You must be comfortable diving into a complex codebase, writing reliable code in Python (or similar backend languages), and working directly with relational databases (PostgreSQL / MS SQL Server).

  • Architectural Literacy: Ability to design scalable database schemas and understand cloud infrastructure (AWS) implications for the product features you scope.

  • Data-Driven & Empirical: Experience using product analytics tools (e.g., Mixpanel, Pendo, Heap) and SQL queries to validate hypotheses and measure feature success.

  • High-Bandwidth Communication: Exceptional ability to articulate product vision to stakeholders, collaborate closely with UX designers, and write clear, concise documentation.

  • Bachelor's degree in Computer Science, Computer Engineering, or a related STEM field is required. Strong preference for candidates who have also completed coursework or certifications in business administration, finance, or product strategy.

Nice To Haves

  • Prior experience in FinTech, accounting technology, or B2B SaaS platforms.

  • Experience working in high-autonomy engineering cultures (e.g., continuous deployment, rapid prototyping).

What Great Looks Like Here

  • User-Obsessed: You build software to solve actual customer pain points, not just to write elegant code for its own sake.

  • Highly Autonomous: You don't wait for a spec document. You identify a gap in the product, define the solution, write the technical implementation plan, and ship it.

  • Analytically Rigorous: You ground your product decisions in data, market realities, and strict technical feasibility.

$100,000 - $130,000 a year
The base pay range for this position is $100,000 - $130,000. Please note: The final base pay for this position will be determined in FinQuery's sole discretion consistent with applicable law, and based on a variety of factors, including, but not limited to, the applicant's skills, qualifications for the role, job-related knowledge, work experience, and FinQuery's business and other operational considerations.  
Benefits
For Your Growth & Career:
Annual employee development program stipend of $2,000 for each employee 
Mentorship program (available immediately)
Sabbatical program (4 weeks after 5 years of service) 
Advancement opportunities based on results, not politics
For Your Financial Well-being:
401(k) plan with employer matching
Signing stipend for a work-from-home setup
For Your Health & Wellness:
Great health benefits with multiple plan option 
Flexible PTO (including 11 holidays and your birthday off)
Free gym membership at our office (Atlanta HQ)
Casual dress environment (when in office)
Catered lunches every Tuesday & Thursday (when in office)
For Your Family & Life:
Parental Leave Benefits
Fertility/Adoption Assistance 
Annual tutoring stipend for your children
 
 
 
FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.
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