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Heap Product Analytics Jobs (NOW HIRING)

Product Analytics Tooling: Hands-on experience with Amplitude, Mixpanel, Heap, or Google Analytics 4 to track event-based user behavior. Analytical Mindset: Strong ability to move beyond "what" the ...

Highly proficient with site analytics tools (preferably Heap) and BI tools (preferably Looker ... product analytics. * Advanced SQL skills, with the ability to query and manipulate large datasets.

Highly proficient with site analytics tools (preferably Heap) and BI tools (preferably Looker ... product analytics. * Advanced SQL skills, with the ability to query and manipulate large datasets.

As the Digital Product Analyst, you will be the bridge between raw digital data and actionable ... Hands-on experience with Amplitude, Mixpanel, Heap, or Google Analytics 4 to track event-based user ...

As the Digital Product Analyst, you will be the bridge between raw digital data and actionable ... Hands-on experience with Amplitude, Mixpanel, Heap, or Google Analytics 4 to track event-based user ...

Staff Product Analyst

$180K - $230K/yr

Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics * Partner directly with product managers and designers to define success metrics ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Product Manager, Growth

Oakland, CA · On-site

$148K - $195K/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 ...

New

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 ...

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 ...

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 ...

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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 Aug 11, 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 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?

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 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:
Infographic showing various Heap Product Analytics job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 3% Contract, and 1% Nights. 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.

Senior Data Analyst, Product Analytics

ShopMy

New York, NY • On-site, Remote

Full-time

Posted 17 days ago


Job description

Who You Are

We're looking for a Senior Data Analyst to join ShopMy's growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. This role is about helping every product perform to its potential: establishing what success looks like, ensuring the right behaviors are tracked, validating launches, and making it easy to see what's working, what isn't, and where the next opportunity lies.

You know how to identify what drives value and unlock it through better measurement, systems, and analysis. You don't wait for every question to be handed to you. You dig into user behavior, conversion funnels, product performance, and user feedback to find gaps and opportunities, then work with the right teams to act on them. When data is missing, inconsistent, or misleading, you trace the issue to its source and help drive a complete solution.

You bring substantial technical depth and strong product intuition. You can think in SQL, build thoughtful data models, create dashboards that tell a clear story, and translate nuanced findings into clear recommendations. You know that technically correct results can still tell the wrong story, and you have the judgment to recognize when the data does not reflect the user behavior or business question it is meant to explain. You use AI to multiply your output without outsourcing your judgment.

ShopMy sits at the intersection of SaaS, e-commerce, and a multi-sided marketplace, creating an unusually broad product analytics problem space. You'll work across creator, brand, and shopper experiences, help define how we measure AI-powered products, and explore how AI can continuously monitor performance, surface anomalies, and generate insights. This is a high-autonomy role with a direct line from your work to ShopMy's product decisions and business performance.

What You'll Do
  • Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization
  • Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable
  • Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early
  • Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact
  • Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution
  • Audit product tracking across web and mobile sources, events, and transformations, partnering with Data Infrastructure and Engineering to resolve gaps and build the models or pipelines needed for reliable analysis
  • Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale
  • Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership
Qualifications
  • 4+ years of experience in Data & Analytics, preferably in product analytics within e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, social platforms, or similarly relevant environments
  • Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses
  • Strong experience with business intelligence tools, BI modeling, data visualization, and storytelling through dashboards
  • Experience analyzing digital user behavior, conversion funnels, feature adoption, and product performance; defining instrumentation and measurement plans; and working with product analytics tools such as Amplitude, Heap, Mixpanel, or similar platforms
  • Experience with experimentation and measurement, including A/B testing, incrementality, or attribution
  • Working experience with Python, JavaScript, R, notebooks, or similar tools for analysis and automation, along with experience using AI to accelerate analysis, automate workflows, monitor products, or surface insights
  • Strong product intuition, problem-solving skills, and attention to detail, with a resourceful and self-directed approach to ambiguity, prioritization, and independently identifying where Analytics should get involved
  • Excellent communicator and cross-functional partner who can simplify abstract or technical concepts, tailor the message to the audience, and turn analysis into a clear point of view

We have a strong preference for someone to be based in New York City, but open to remote on the East Coast.

The work in this role directly shapes how ShopMy builds, measures, and improves its products. This is foundational, high-impact work with meaningful autonomy, exposure across the full product portfolio, and the opportunity to define what excellent product analytics looks like as the company scales.