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Product Analytics Jobs in Texas (NOW HIRING)

Collaborating with leaders across Product, Design, Analytics Engineering, Data Engineering, and the Go-to-Market team, you will work to enhance our product data infrastructure, develop analytical ...

Product Analyst

Carrollton, TX ยท On-site

$75K - $130K/yr

A Typical Day A Product Analyst takes a more proactive role in analyzing business needs and translating them into effective technology solutions. You will lead specific workstreams or feature ...

AI Product Analyst

Austin, TX ยท On-site

$85 - $120/hr

We are seeking a Product Analyst (AI Software Development & Cloud Systems) to support the development and enhancement of AI-enabled software products. This role focuses on supporting the software ...

Product Analyst III

Carrollton, TX ยท On-site

$75 - $130/hr

A Typical Day A Product Analyst takes a more proactive role in analyzing business needs and translating them into effective technology solutions. You will lead specific workstreams or feature ...

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Product Analytics information

See Texas salary details

$48K

$148.5K

$183.5K

How much do product analytics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for product analytics in Texas is $148,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $183,500.00 per year, depending on experience, location, and employer.

What is product analytics?

A Product Analytics job involves using data to evaluate and optimize a company's products. Analysts in this role collect, analyze, and interpret user behavior data to provide insights that drive product decisions. They work closely with product managers, engineers, and designers to improve user experience and business outcomes. Key responsibilities include tracking key metrics, running experiments (A/B testing), and generating reports to support data-driven decision-making.

What does a typical day look like for someone in product analytics?

A typical day in Product Analytics involves analyzing user behavior data, building dashboards, and creating reports to help teams make product decisions. You will work closely with product managers, designers, and engineers to identify key performance indicators (KPIs), design and assess A/B tests, and provide insights for new feature development. Regular meetings and collaboration with cross-functional teams are common, as is presenting findings and recommendations to stakeholders. This dynamic environment offers the opportunity to influence product strategy and prioritize improvements based on data-driven evidence.

What are the key skills and qualifications needed to thrive in product analytics, and why are they important?

To thrive in Product Analytics, you need a strong background in data analysis, statistical modeling, and a good understanding of product lifecycle concepts, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Tableau, Python or R, and analytics platforms like Google Analytics or Mixpanel is critical, and some roles may prefer certification in analytics or data science. Strong communication, business acumen, and problem-solving skills help you translate complex data into actionable insights for cross-functional teams. These capabilities are essential for driving product enhancements, optimizing user experience, and supporting business growth through informed decision-making.

What are the most commonly searched types of Product Analytics jobs in Texas?

The most popular types of Product Analytics jobs in Texas are:

What are popular job titles related to Product Analytics jobs in Texas?

For Product Analytics jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Product Analytics jobs?

Cities in Texas with the most Product Analytics job openings:

Infographic showing various Product Analytics job openings in Texas as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 3% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $148,510 per year, or $71.4 per hour.

Senior Data Analyst, Product Analytics

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.comยฎ has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.comยฎ not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
About the role:
The Data Science and Analytics organization at realtor.com sits at the heart of this mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs.
We are looking for a Sr, Data Analyst to join our Customer Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team evaluate the launch of new features aimed at accelerating our seller-focused business, including our new agent listing product that leverages the tremendous amount of data available to realtor.com around the listings on our website. The mission of the Customer Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the "why" around data movements - not just the "what"
Top reasons to apply:
  • Own the Business Engine: You will be the architect behind the measurement framework for the seller referral business-RDC's largest revenue stream. This isn't just maintenance work; you are defining the KPIs and SSOT (Single Source of Truth) dashboards that leadership and FP&A rely on weekly, making your work central to the company's financial health..
  • Solve High-Complexity Marketplace Problems: This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including inventory capacity modeling, pricing/packaging optimization, and causal inference for interventions where standard A/B test assumptions often break down.
  • Strategic Executive Visibility: Because the seller side is the designated growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won't just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact..
What You'll Do:
  • Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
  • Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.
  • Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.
  • Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.
  • Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude and be an advocate for adoption
  • Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products and helping to identify actionable paths for product and customer care to take on to improve NPS.
  • Build relationships with other products and analytics teams to share best practices and enrich analytic practices
  • Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics
  • Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries
What You'll Bring:
  • Bachelor's Degree in Business Analytics, Math, Economics, or equivalent work experience required
  • 5+ years of relevant experience or a Master's Degree with 3+ years of experience
  • Experience using data to analyze product feature performance is preferred
  • Advanced knowledge in SQL
  • Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc.
  • Experience with cloud-based data environments such as AWS and Snowflake
  • Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics
  • Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)
  • Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified
  • Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights
  • Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences
  • Comfort working in a highly agile, intensely iterative environment
  • Self-motivated and self-managing, with strong time management and organizational skills
Preferred skills & Experience:
  • Experience in a subscription business
  • Knowledge in Python or R
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.comยฎ
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.comยฎ, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.comยฎ is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.comยฎ will provide reasonable accommodations for otherwise qualified disabled individuals.