ZipRecruiter

Log In

1

Heap Product Analytics Jobs (NOW HIRING)

Austin Capital Bank

Product Manager

Austin, TX · On-site

$100K - $150K/yr

Pull and analyze product data using SQL and behavioral analytics tools (Heap, Contentsquare ... Snowflake) to form and test hypotheses independently. * Use AI tools to compress research cycles ...

Comrise

Web Experience Strategy Manager

New York, NY · On-site

$52 - $57/hr

Partner with UX, content, product, analytics, and marketing teams to execute digital roadmap ... Heap, or similar tools. * Strong background in stakeholder management, research, competitive ...

Austin Capital Bank

Product Manager

Austin, TX · On-site

$100K - $150K/yr

Pull and analyze product data using SQL and behavioral analytics tools (Heap, Contentsquare ... Snowflake) to form and test hypotheses independently. * Use AI tools to compress research cycles ...

Modea

Data Analyst II

Nashville, TN · On-site +1

... product analytics data to identify user behavior patterns, conversion trends, and opportunities for optimization. * Develop insights, dashboards, and regular reports using platforms like GA4, Heap ...

Modea

Data Analyst II

Nashville, TN · Remote

... product analytics data to identify user behavior patterns, conversion trends, and opportunities for optimization. * Develop insights, dashboards, and regular reports using platforms like GA4, Heap ...

ShopMy

Senior Data Analyst

New York, NY · On-site

$115K - $155K/yr

Experience with product analytics tools (Amplitude, Heap, Mixpanel, or similar) * Experience using AI tools to enhance analysis, automate repetitive work, or proactively surface insights is a strong ...

Rent the Runway

Senior Data Analyst (NYC)

New York, NY · On-site

$94K - $118K/yr

Experience working with event data or user/product analytics tools (e.g., Heap) is a plus . * Passion for data and its fundamental ability to create value. * Extremely curious and excited to dive ...

Rent the Runway

Data Analyst III

New York, NY · On-site

Experience working with event data or user/product analytics tools (e.g., Heap) is a plus . * Passion for data and its fundamental ability to create value. * Extremely curious and excited to dive ...

Mariana Minerals

Metallurgy Lead

Moab, UT · On-site

... of unit processes, including heap leaching, solvent extraction and electrowinning (SX/EW ... This is a site-based role with regular exposure to both fieldwork and metallurgical analysis.

FiscalNote

OR

You work closely with our SLT and with product, engineering, sales, finance, and customer success ... Act as direct technical admin and functional lead for Metabase and Heap * Build and maintain ...

DATAMAXIS

ATG Consultant with support

Northbrook, IL · Hybrid

... Production environments * Perform advanced troubleshooting , incident resolution, and root cause analysis (RCA) * Analyze thread dumps, heap dumps , and performance issues (memory leaks, JDBC ...

DATAMAXIS

ATG Consultant with support

Northbrook, IL · On-site +1

... Production environments * Perform advanced troubleshooting , incident resolution, and root cause analysis (RCA) * Analyze thread dumps, heap dumps , and performance issues (memory leaks, JDBC ...

next page

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 Manager

Product Manager

Austin Capital Bank

Austin, TX • On-site

$100K - $150K/yr

Full-time

Posted 29 days ago

Job description

Job Title: Product Manager
Location: Austin, Texas / in office 3-4 days per week
About Us:
At Austin Capital Bank we're not just a bank and fintech company; we're a dynamic team that's all about innovation and building products that help people. Our commitment to creating meaningful user experiences drives everything we do, and we're rapidly growing while keeping that start-up spirit alive. If you're eager to make an impact in the tech world, let's chat!
Austin Capital Bank is one of the fastest growing companies in the nation, receiving recognition on the INC 5000 five years in a row. Austin Business Journal also recognized Austin Capital Bank in its Fast 50 list for the fastest growing companies in Central Texas. We ranked #8 in companies with over $10 million per year in revenue.
We think and act like an entrepreneurially driven start-up BUT one that is profitable - the best of all worlds. Using our bank as a platform, we're growing quickly and expanding into new digital markets and product categories at a rapid pace.
With all this opportunity and growth, we need exceptional individuals to join our team and enable our vision.
Our Core Values
Companies are defined by their core value and we hold these near and dear to our heart.
  • Take Initiative - A bias to action - proactive vs reactive
  • No Big Egos - Self-confidence with humility
  • Honesty - Direct forthright communication
  • Wicked Smart - Intellectually and emotionally self-aware

Job Summary:
Austin Capital Bank is looking for a Product Manager to own and drive product strategy across our growing portfolio of consumer fintech and Banking-as-a-Service products. This is a high-ownership, high-visibility role that sits at the center of everything ACB builds.
You will define product vision, prioritize roadmaps, write PRDs and user stories, lead cross-functional delivery teams, and own outcomes - not just output. You will be expected to move fast, leverage AI tools to accelerate research and decision-making, and bring a proactive point of view on where the product should go before anyone asks for it. This role requires equal parts strategic rigor and hands-on execution: one day you're writing acceptance criteria, the next you're presenting a roadmap to the team.
Requirements:
  • Own end-to-end product lifecycle for one or more ACB fintech products - from discovery and roadmap prioritization through delivery, launch, and post-launch performance tracking.
  • Define and articulate product vision and strategy grounded in market research, competitive analysis, customer needs, and regulatory constraints.
  • Write high-quality PRDs, user stories, and acceptance criteria that give engineering and QA a clear, unambiguous target to build and test against.
  • Lead KYC/KYB digital onboarding workflows and design product experiences that balance compliance requirements with customer conversion and usability.
  • Develop financial models, pricing structures, and revenue analyses to inform product prioritization and business case development.
  • Use data to drive decisions - pull and interpret behavioral analytics from platforms like Heap and Contentsquare, write SQL queries when needed, and design A/B experiments to validate hypotheses before committing resources.
  • Leverage AI tools proactively to accelerate competitive research, PRD drafting, user research synthesis, and experiment design - and bring new methods to the team without being asked.
  • Coordinate with engineering, QA, UX, operations, compliance, and marketing to drive delivery and manage releases with rigor and accountability.
  • Monitor product KPIs, adoption, engagement, fraud indicators, and operational health post-launch; identify issues and iterate quickly.
  • Represent the product to internal stakeholders, external partners, and regulators - with the confidence to defend a position and the humility to update it when the data says otherwise.

Key Responsibilities:
1. Product Strategy & Roadmap Ownership
  • Define and maintain product roadmaps aligned to ACB's strategic objectives, regulatory requirements, and market opportunity.
  • Prioritize ruthlessly across a large backlog - balancing customer value, compliance obligations, technical debt, and revenue impact.
  • Conduct competitive and regulatory landscape analysis to ensure ACB products stay ahead of the market and inside the lines simultaneously.

2. Data-Driven Experimentation & AI-Augmented PM
  • Design and interpret A/B and multivariate experiments across onboarding, engagement, and payment flows; iterate rapidly based on results.
  • Pull and analyze product data using SQL and behavioral analytics tools (Heap, Contentsquare, Snowflake) to form and test hypotheses independently.
  • Use AI tools to compress research cycles, synthesize user feedback, draft product specs faster, and model experiment outcomes - and proactively introduce new AI methods that improve team velocity.

3. Cross-Functional Leadership & Stakeholder Management
  • Lead agile delivery teams - sprint planning, backlog refinement, and release coordination with engineering, QA, UX, and operations.
  • Train internal support and operations teams on new features before launch; maintain product documentation, and integration guides in Confluence.
  • Escalate and resolve product issues proactively - from fraud flags and service outages to customer support triage - before they become systemic.

4. New Product Development
  • Contribute to pre-development product definition for new products, including competitive landscape analysis, target customer segmentation, advance mechanics, pricing, and eligibility rules.
  • Collaborate cross-functionally with risk, legal, compliance, and engineering on vendor evaluation, and go-to-market sequencing.

Qualifications:
Education
  • Bachelor's degree in Business, Computer Science, Finance, Economics, or a related field. MBA or equivalent graduate degree is a plus.
  • Formal training or certification in product management, agile delivery, or data analytics is a differentiator.

Experience
  • 2-5 years of experience in Product Management, with experience in fintech, consumer lending, digital banking, or a similarly regulated technology environment.
  • OR - if you're a current undergraduate, master students, or early career professionals, and are a yet-to-be discovered rockstar with high proven potential (posers will be filtered out quickly) - tell us about your superpowers.
  • Demonstrated track record of owning and shipping consumer-facing digital products end-to-end, from discovery through post-launch iteration.
  • Experience writing and managing detailed PRDs, user stories, and acceptance criteria in a fast-moving agile environment.
  • Experience working with compliance, legal, and risk teams to navigate banking regulations as product constraints - not blockers.
  • Experience with BaaS, payment rails, accounting, or core banking platforms is a strong plus.
  • Experience with KYC/KYB digital onboarding and identity verification workflows (Jumio, CLEAR, Sentilink, Experian, or equivalent) is a differentiator.

Skills
  • Strong SQL skills - you can pull your own data, build your own queries, and not wait for an analyst to tell you what's happening in your product.
  • Proficiency with behavioral analytics platforms (Heap, Contentsquare, Amplitude, or equivalent) and A/B testing frameworks.
  • Comfort with AI-powered PM tools and a clear bias toward using them - for research, spec writing, competitive analysis, and experiment design.
  • Expert ability to write clear, concise product requirements that engineering and QA can execute without repeated clarification rounds.
  • Demonstrated ability to build financial models, unit economics analyses, and revenue projections in support of product prioritization.
  • Strong working knowledge of payment rails: ACH, RTP, wire, card push (Visa Direct / Mastercard Send), and settlement mechanics.
  • Familiarity with Jira, Confluence, and agile delivery tooling - you know how to run a clean sprint and keep a project on track.
  • Exceptional communication and interpersonal skills - able to write a crisp executive summary, run a tight product review, and hold your own in a regulatory conversation.
  • You'll be building products for: Consumers rebuilding their financial lives. Families protecting their children's identities. Savers protecting their life savings from fraud. And fintech partners who need a bank that can actually move fast.

Human Resources: [email protected]

Apply