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Baseball Data Analytics Jobs in Texas (NOW HIRING)

City of El Paso

Parking Meter Operations Manager

El Paso, TX · On-site

$53K - $67K/yr

... Baseball Team, and other public and business groups when appropriate. Perform related duties as ... Prepare comprehensive reports by compiling, reviewing, and analyzing data. Assist other supervisory ...

Dialpad

Agentic Transformation Advisor

Austin, TX · On-site

... Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV ... Strong business judgment and analytical skills, with the ability to translate data into clear ...

Hampton Farms

Production Lead (5PM - 5AM)

Lubbock, TX · On-site

$30/hr

You can find our product in most grocery stores and major league baseball stadiums. We distribute ... Data entry skills to produce reports, build files, label printing, trend analysis and trend ...

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Baseball Data Analytics information

See Texas salary details

$30.7K

$75.9K

$130.4K

How much do baseball data analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for baseball data analytics in Texas is $75,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $89,900.00 per year, depending on experience, location, and employer.

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

To thrive in Baseball Data Analytics, you need strong statistical analysis capabilities, proficiency in sports analytics, and a background in mathematics, computer science, or a related field. Familiarity with data visualization tools, SQL databases, Python or R programming, and platforms like TrackMan or Statcast is typically required. Excellent communication, teamwork, and critical thinking are valuable soft skills to clearly present insights and collaborate with coaching staff. These abilities are essential for transforming complex data into actionable strategies that improve team performance and decision-making.

What is a baseball data analytics job?

A Baseball Data Analytics job involves collecting, analyzing, and interpreting baseball data to provide insights that help teams make better decisions. Analysts work with player performance metrics, in-game statistics, and predictive models to assess talent, optimize strategies, and improve overall team performance. These roles require strong statistical and programming skills, often using tools like SQL, Python, and R. Many analysts work for MLB teams, minor league affiliates, or sports technology companies.

How to get a baseball data analytics job?

To get a baseball data analytics job, candidates should develop strong skills in statistics, programming (such as Python or R), and data visualization tools. Gaining experience through internships, projects, or certifications in sports analytics can improve prospects, and familiarity with baseball metrics and databases like Statcast or Baseball-Reference is beneficial.

What are typical daily tasks for someone working in baseball data analytics?

A professional in Baseball Data Analytics often spends their day collecting and cleaning player and game data, performing in-depth statistical analyses, and developing models to evaluate player performance or inform tactical decisions. They regularly collaborate with coaches, scouts, and front-office staff to translate complex findings into actionable advice. In addition, they may create visualizations or reports using tools like Tableau or Power BI and stay updated with new analytical methods and technologies in sports. This dynamic environment offers opportunities to contribute directly to the team’s competitive strategy while constantly learning new industry trends.

What does a baseball data analyst do?

A baseball data analyst collects, analyzes, and interprets game and player data to identify patterns and improve team performance. They use statistical tools and software, such as R or SQL, to create reports and models that support strategic decisions in the sport.

How much do baseball data analysts make?

Baseball data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level positions may start lower, while experienced analysts working with major league teams or in advanced analytics roles can earn higher salaries, often supplemented with bonuses or benefits. Proficiency in statistical tools and data visualization software is often required for higher-paying positions.
What are the most commonly searched types of Baseball Data Analytics jobs in Texas? The most popular types of Baseball Data Analytics jobs in Texas are:
What are popular job titles related to Baseball Data Analytics jobs in Texas? For Baseball Data Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Baseball Data Analytics jobs in Texas look for? The top searched job categories for Baseball Data Analytics jobs in Texas are:
What cities in Texas are hiring for Baseball Data Analytics jobs? Cities in Texas with the most Baseball Data Analytics job openings:
Baseball Data Analytics jobs near you
Infographic showing various Baseball Data Analytics job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,947 per year, or $36.5 per hour.

Revenue Operations Manager, Downmarket

Dialpad

Austin, TX

Full-time

Re-posted 11 days ago

Job description

About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer
At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role
The Revenue Operations Manager– Downmarket and Sales Development drives scale and efficiency across high-volume Commercial and Small Business sales motions. This role focuses on velocity, conversion optimization, and forecasting discipline in shorter-cycle environments.

This is a revenue execution role — not reporting support and not an embedded business partner.

This position reports to our Director of Business Operations and is hybrid, based in either our Austin or Tempe office.

What you'll do

  • Define and enforce opportunity stage entry and exit criteria.
  • Establish deal inspection frameworks by segment and deal size.
  • Identify and eliminate:
    • Poorly qualified pipeline.
    • Stalled or aging deals.
    • Inflated close dates and optimistic forecasts.
  • Create clear standards for when deals advance, reset, or exit the pipeline.
  • Own forecast methodology and call discipline across segments.
  • Standardize forecast categories (Commit, Best Case, Pipeline, etc.).
  • Lead or co-lead weekly forecast calls with Sales leadership.
  • Track and surface forecast bias, slippage patterns, and risk signals.
  • Improve forecast accuracy, confidence, and consistency over time.
  • Design and run pipeline councils by segment.
  • Ensure pipeline reviews are:
    • Forward-looking.
    • Decision-oriented.
    • Action-driven.
  • Equip Sales leaders with consistent inspection views that drive accountability.
  • Make pipeline hygiene a management habit, not a Rev Ops cleanup task.
  • Partner closely with:
    • Revenue Intelligence & Analytics.
    • Systems and Data teams.
  • Translate execution issues into:
    • Process improvements.
    • System enforcement.
    • Clear operating guidance.
  • Provide structured feedback into GTM strategy and planning.
  • Define and own the core pipeline and forecast KPIs.
  • Hold the organization accountable to:
    • Stage-to-stage conversion.
    • Deal aging.
    • Forecast accuracy.
  • Ensure leaders understand why deals slip — not just that they did.

Skills you'll bring

  • 7–10 years of total professional experience.
  • 4–6+ years in Sales Operations, Revenue Operations, or GTM Strategy.
  • Experience supporting Direct Sales Teams and/or Channel organizations.
  • SaaS experience strongly preferred.
  • Strong analytical mindset with the ability to turn data into decisions.
  • Comfortable working with ambiguity and building structure where none exists.
  • Excellent executive communication — written, verbal, and storytelling.
  • Ability to influence senior stakeholders without formal authority.
  • High ownership mentality: you see problems and fix them.
  • Detail-oriented but able to zoom out to the bigger picture.
  • Strong experience with Salesforce, Tableau, Outreach, Clay, Scratchpad, and ZoomInfo.
  • Familiarity working alongside tools like Anaplan, routing platforms (Leandata), or forecasting tools (Clari).
  • Ability to partner effectively with Business systems and analytics teams.

Why Join Dialpad

  • Work at the center of the AI transformation in business communications
  • Build and ship agentic AI products that are redefining how companies operate
  • Join a team where AI amplifies every employee's impact
  • Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.