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Predictive Analytics Analyst Jobs (NOW HIRING)

Procore

Staff People Analytics Analyst

Austin, TX · On-site

$61K - $81K/yr

Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you're passionate about turning data ...

DraftKings

Director, People Analytics

New York, NY · On-site

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

DraftKings

Director, People Analytics

Boston, MA

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

TEGNA Inc.

People Analytics Analyst

Indianapolis, IN · On-site

... support predictive analytics, anomaly detection, and trend analysis. • Ensure data quality, consistency, and governance across people-related data sources. Qualifications: • 3+ years of ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to create dashboards, reports, and predictive models that identify trends and support optimizations in ...

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Predictive Analytics Analyst information

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$30K

$104.5K

$173K

How much do predictive analytics analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for predictive analytics analyst in the United States is $104,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What does a Predictive Analytics Analyst do?

A Predictive Analytics Analyst uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. Their primary role is to analyze large datasets, build predictive models, and provide actionable insights to help organizations make informed decisions. These analysts often work closely with business stakeholders to understand objectives, interpret results, and recommend strategies to optimize performance. They play a critical role in industries such as finance, healthcare, marketing, and retail.

How does a Predictive Analytics Analyst typically collaborate with other departments to implement data-driven solutions?

Predictive Analytics Analysts often work closely with departments like marketing, finance, and operations to understand their data needs and business objectives. They translate complex data findings into actionable insights, presenting their models and recommendations to both technical and non-technical stakeholders. Collaboration frequently involves cross-functional meetings, sharing dashboards, and iterative feedback to ensure predictive models align with company goals and are feasible for implementation. This collaborative approach not only enhances the impact of analytics but also helps analysts to deepen their business acumen.

What are the key skills and qualifications needed to thrive as a Predictive Analytics Analyst, and why are they important?

To excel as a Predictive Analytics Analyst, you need a solid background in statistics, data analysis, and quantitative modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and machine learning platforms, as well as certifications in data analytics or related technologies, is highly valuable. Critical thinking, problem-solving, and the ability to communicate complex insights to non-technical stakeholders are standout soft skills. These competencies enable analysts to derive actionable business insights, drive strategic decisions, and maximize the value of data-driven initiatives.

What is the difference between Predictive Analytics Analyst vs Data Analyst?

AspectPredictive Analytics AnalystData Analyst
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentData science teams, analytics departmentsBusiness units, reporting teams
Industry UsageFinance, marketing, healthcare, techRetail, finance, healthcare, government

Predictive Analytics Analysts focus on building models to forecast future trends using advanced statistical techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analytics Analysts typically have more experience with machine learning and programming. Understanding these differences helps organizations assign the right talent for data-driven decision-making.

Is it worth being a data analyst in 2026?

Predictive Analytics Analysts are expected to remain in demand in 2026 due to the growing reliance on data-driven decision-making across industries. Skills in statistical analysis, machine learning, and tools like Python or R will continue to be valuable, making the role a viable career choice for the foreseeable future.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but Predictive Analytics Analysts play a crucial role in interpreting complex data, developing models, and providing strategic insights. Human expertise is essential for understanding context, making judgments, and communicating findings effectively. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

Is 40 too late for data science?

A Predictive Analytics Analyst can start a career in data science at age 40, as many skills such as programming, statistics, and data visualization can be learned at any age. Experience in related fields and continuous learning through online courses or certifications can also facilitate entry into the field regardless of age.

What does a predictive analyst do?

A predictive analytics analyst uses statistical models, data mining, and machine learning techniques to analyze historical data and forecast future trends or behaviors. They often work with tools like Python, R, or SQL and interpret data to support decision-making and strategic planning within organizations.
More about Predictive Analytics Analyst jobs
What job categories do people searching Predictive Analytics Analyst jobs look for? The top searched job categories for Predictive Analytics Analyst jobs are:
Predictive Analytics Analyst jobs near you
Infographic showing various Predictive Analytics Analyst job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.
Staff People Analytics Analyst

Staff People Analytics Analyst

Procore

Austin, TX • On-site

$61K - $81K/yr

Full-time

Posted 14 days ago

Job description

We’re looking for a Staff People Analytics Analyst to join Procore’s People Team. In this role, you’ll leverage advanced data science techniques to shape and optimize our people strategies across the organization. The primary goal of this role is to deliver actionable, data-driven insights that inform decision-making and help foster a thriving, high-performing culture.

As a Staff People Analytics Analyst, you’ll partner with HR leadership, HR Business Partners, and cross-functional teams to translate complex people-related challenges into impactful analytics solutions. Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you’re passionate about turning data into compelling narratives that drive real business outcomes and enable smarter workforce decisions—apply today and help lead the future of people analytics at Procore.

This position reports into the Director, People Analytics and will be based in our Austin, TX office. We’re looking for someone to join us immediately.

What you’ll do:
  • Partner with HR leaders, People Partners, and cross-functional stakeholders to translate strategic people challenges into high-impact analytics initiatives.
  • Conduct advanced statistical analyses and predictive modeling to generate insights across engagement, DEIB, retention, and talent acquisition.
  • Design, build, and maintain dashboards and reports that translate complex data into clear, actionable insights for business leaders.
  • Lead end-to-end people analytics projects, ensuring alignment with business needs and timely delivery in an agile environment.
  • Leverage AI tools such as Claude, Gemini, and Google AgentSpace to enhance analytical workflows and democratize data-driven decision-making across the organization.
  • Ensure accuracy, security, and integrity of people data across all analytics processes and reporting solutions.
  • Present analytical findings through strong storytelling and data visualization to both technical and non-technical executive audiences.
  • Collaborate with HRIS, Finance, and IT teams to ensure alignment, consistency, and accessibility of people data sources.
What we’re looking for:
  • Bachelor’s or Master’s degree in Data Science, Statistics, I/O Psychology, Economics, Computer Science, or a related quantitative field.
  • 5+ years of experience in people analytics, HR analytics, or data science with a focus on human capital.
  • Strong expertise in predictive modeling, statistical analysis, and solving complex business problems using people data.
  • Proficiency in SQL, Python, and/or R for data manipulation, analysis, and modeling.
  • Familiarity with Workday Reporting and Analytics required; experience with Workday Prism, Discovery Boards, or Sheets preferred.
  • Strong communication and stakeholder management skills, with the ability to translate complex data into executive-ready insights.
  • Deep understanding of employee lifecycle metrics and HR data within fast-paced, agile environments.
  • Strategic, consultative mindset with strong attention to detail and a passion for using data to drive business impact.
Additional Information

Base Pay Range:

129,600.00 - 178,200.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

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