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Heap Product Analytics Jobs (NOW HIRING)

Smarty

Senior Product Manager

Orem, UT · On-site

$110K - $145K/yr

... analytics platforms (e.g., Mixpanel, Amplitude, Heap, or similar) and comfortable pulling or ... quality and product intelligence • A strong cross-functional collaborator who builds trust ...

The Weather Company

Senior Product Analyst

Atlanta, GA · On-site

Job brief: We are seeking a Senior Product Analyst to join our Product Insights team embedded ... Proficiency in Amplitude or a comparable behavioral analytics platform (e.g., Mixpanel, Heap) is ...

The Weather Company

Senior Product Analyst

Atlanta, GA · On-site

Job brief: We are seeking a Senior Product Analyst to join our Product Insights team embedded ... Proficiency in Amplitude or a comparable behavioral analytics platform (e.g., Mixpanel, Heap) is ...

Tekmetric

Senior Product Manager - API

$129K - $170K/yr

Product Analytics Experience: Hands-on experience with product analytics software (e.g., Amplitude, Mixpanel, FullStory, Heap, Pendo) is preferred. * Proven Leadership: A pragmatic leader with a ...

Apollo.io

Senior Data Scientist - Product

Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. * Proven ability to thrive in a ...

Fivetran

Senior Product Manager, Growth

Oakland, CA · On-site

$145K - $191K/yr

Hands-on analytical skillset with the ability to independently dig into data and use product analytics tools (e.g. Amplitude, Heap, Hex, Sigma, SQL) * Expertise in A/B testing and experimentation ...

Fivetran, Inc.

Senior Product Manager, Growth

Oakland, CA · On-site

$215.42 - $269.28/hr

Hands‑on analytical skillset with the ability to independently dig into data and use product analytics tools (e.g. Amplitude, Heap, Hex, Sigma, SQL) * Expertise in A/B testing and experimentation ...

Fivetran

Senior Product Manager, Growth

Oakland, CA

$145K - $191K/yr

Hands-on analytical skillset with the ability to independently dig into data and use product analytics tools (e.g. Amplitude, Heap, Hex, Sigma, SQL) * Expertise in A/B testing and experimentation ...

Tekmetric

Senior Product Manager

$129K - $170K/yr

Product Analytics Experience: Hands-on experience with product analytics software (e.g., Amplitude, Mixpanel, FullStory, Heap, Pendo) is preferred. * Proven Leadership: A pragmatic leader with a ...

Smarty

Senior Product Manager

Orem, UT · On-site

$130K - $160K/yr

Proficient with product analytics platforms (e.g., Mixpanel, Amplitude, Heap, or similar) and comfortable pulling or working with data to inform decisions * Comfortable leveraging AI tools to ...

Evolve

Senior Product Manager -Growth & Acquisition

$170K - $190K/yr

Hands-on with product analytics tools (Amplitude, Mixpanel, Heap). You build your own funnels and dashboards; you don't outsource your data work. * AI-fluent. You use Claude, Cursor, or similar tools ...

Apollo.io

Senior Data Scientist - Product

Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. * Proven ability to thrive in a ...

Tailored Brands

Lead Product Manager

Dublin, CA · On-site +1

A Lead Product Manager operates across multiple product domains, influencing strategy beyond their ... Heap, Google Analytics, Adobe Analytics, Amplitude, Mixpanel, or similar. • Demonstrated ...

Tailored Brands

Sr Product Manager

Dublin, CA · On-site +1

$142K - $188K/yr

We're looking for a Senior Product Manager who combines strategic thinking, customer empathy ... Heap, Google Analytics, Adobe Analytics, Amplitude, Mixpanel, or similar. • Demonstrated ...

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Heap Product Analytics information

See salary details

$53K

$144.1K

$205K

How much do heap product analytics jobs pay per year?

As of Sep 4, 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 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.

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

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.

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 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.

More about Heap Product Analytics jobs

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Heap Product Analytics jobs near you
Infographic showing various Heap Product Analytics job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.

Product Analyst, Subscriptions

The Weather Company

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Key responsibilities

  • Partner with data science and engineering teams to audit, validate, and maintain the integrity of behavioral data and event tracking systems.

  • Collaborate with product and engineering teams to ensure analytics are correctly configured throughout the feature development lifecycle and co-author measurement plans.

  • Conduct behavioral data analysis to understand user engagement, retention, and feature adoption, and support the design and interpretation of experiments.

Job description

About The Weather Company:
The Weather Company is the world's leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company's high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world's most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).
AI is part of how we work:Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company.
Job brief:
We are seeking a Product Analyst to join our Data and Insights team supporting the TWC Subscriptions team. In this role, you will be the connective tissue between raw behavioral data and meaningful product subscription strategy, partnering across product, engineering, and data science to ensure we have a clear, accurate, and holistic view of behaviors that drive subscription growth. You will report to the VP, Data and Analytics and play a critical role in enabling the team to achieve our goals.
The impact you'll make:
Analytics Infrastructure & Data Quality
  • Partner with the data science team to audit and ensure the integrity of data connections in Amplitude and other behavioral analytics systems, identifying and resolving tracking gaps, misfires, and schema issues.
  • Collaborate with engineering to validate event instrumentation is firing correctly before and after feature releases, maintaining a reliable source of truth for product data.
  • Establish and maintain documentation of the analytics event taxonomy, data dictionaries, and tracking standards to improve team-wide data literacy and reduce cross-functional sync overhead.

Measurement Planning & Analytics Configuration
  • Partner with product and engineering teams throughout the feature development lifecycle to ensure analytics are configured correctly from the start, reducing data validation delays post-launch.
  • Advise on and co-author measurement plans for new features, defining success metrics, instrumentation requirements, and how data will be captured, validated, and reported. • Serve as an embedded analytics resource for the product team, reducing dependency on central analytics and enabling faster, more autonomous decision-making.

Behavioral Analysis, User Understanding & Experimentation
  • Conduct deep analysis using Amplitude, Preset, and other behavioral data sources to build a robust, nuanced understanding of TWC users, proactively surfacing insights around engagement, retention, and feature adoption.
  • Partner with UX Research to develop a holistic picture of the TWC user by integrating behavioral data with qualitative research, sentiment signals, and user feedback - combining the "what" with the "why."
  • Advise and assist the product team in designing, launching, and interpreting A/B and multivariate experiments, ensuring proper statistical rigor and communicating results with nuance and clarity to drive confident product decisions.

What you've accomplished:
  • Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience.
  • 3+ years of experience in product analytics, data analytics, or a similar role, ideally within a consumer-facing digital product (mobile app experience strongly preferred).
  • Proficiency in Amplitude or a comparable behavioral analytics platform (e.g., Mixpanel, Heap) is required.
  • Solid SQL skills; ability to independently query, clean, and analyze data from large datasets.
  • Solid grounding in A/B testing methodology, including statistical significance, sample size estimation, and experiment design.
  • Excellent communication skills; ability to translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders.

Nice to Have:
  • Experience with data visualization tools such as Preset, Looker, or Tableau, and familiarity with event instrumentation practices and CDPs such as mParticle.
  • Experience with mobile app analytics and understanding of mobile measurement nuances (e.g., session definitions, background events, iOS vs. Android differences).
  • Background in or exposure to data engineering concepts (pipelines, schemas, ETL) that allows you to work fluently with data science and engineering partners.
  • Experience partnering with UX researchers on mixed-methods studies, integrating qualitative and quantitative data to form a complete view of user behavior.

TWCo Benefits/Perks:
  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment

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