1

Predictive Analytics Analyst Jobs (NOW HIRING)

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

Runs advanced and predictive analyses and performs model assessments, validation, and enhancement activities using predictive software tools and functionalities. * Prepares and coordinates the ...

A solid grasp of measurement methodologies and statistical and predictive analytics, including experience with statistical software such as R, Python, or SPSS. * Demonstrated ability to interpret ...

Senior People Analytics Analyst

Denver, CO · On-site

$103K - $165K/yr

A solid grasp of measurement methodologies and statistical and predictive analytics, including experience with statistical software such as R, Python, or SPSS. * Demonstrated ability to interpret ...

Senior People Analytics Analyst

Denver, CO · On-site +1

$103K - $134K/yr

A solid grasp of measurement methodologies and statistical and predictive analytics, including experience with statistical software such as R, Python, or SPSS. * Demonstrated ability to interpret ...

next page

Showing results 1-20

Predictive Analytics Analyst information

See salary details

$30K

$104.5K

$173K

How much do predictive analytics analyst jobs pay per year?

As of Jun 12, 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.

Is AI replacing data analysts?

Predictive Analytics Analysts use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks like data processing and pattern recognition, human expertise remains essential for interpreting results, making strategic decisions, and developing models. AI complements rather than replaces data analysts, who need skills in statistics, programming, and domain knowledge to effectively leverage these technologies.

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 predictive analytics a good career?

Predictive analytics is a growing field within data analysis that involves using statistical models and machine learning techniques to forecast future trends. It offers strong job prospects, competitive salaries, and opportunities across various industries, often requiring skills in programming, statistics, and data visualization tools. Continuous learning and certification can enhance career advancement in this field.

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 facilitate entry into the field regardless of age.

What does a predictive analyst do?

A predictive analytics analyst uses statistical models, machine learning algorithms, and data analysis tools to forecast future trends and behaviors based on historical data. They interpret data insights to support decision-making and often work with software like Python, R, or SAS. Strong analytical skills and knowledge of data visualization are essential in this role.
More about Predictive Analytics Analyst jobs
Infographic showing various Predictive Analytics Analyst job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.
Director Predictive Data Analytics

Director Predictive Data Analytics

Pacific Life Insurance Company

Newport Beach, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Pacific Life rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

231st of 261 rated insurance


Job description

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.

We're actively seeking a talented Director of Sales Insights and Analytics to join our CMD Sales Intelligence Team in Newport Beach, CA or Omaha, NE.

As a Director of Sales Insights and Analytics, you'll move Pacific Life, and your career, forward by leading a team providing predictive analytics and insights support for the Sales and Marketing organization. The qualified candidate requires a high level of collaboration across multiple departments working with experienced project teams, sales and executive management, and other business partners.The position will increase the utilization of our existing data and analytic tools and will lead the evolution of future predictive analytic capabilities. This includes evaluating business use case opportunities, while solving for the technical challenges of linking disparate datasets from internal data, market data, competitor data, etc. You will fill a existing role that sits on a team of sales analysts in the CMD division.

How you'll help move us forward:

  • Manage the reporting and analytics team whose focus is on the development and presentation of strategic and tactical analyses with visualization for use cases that support the generation of sales leads.
  • Proven ability to transform an existing business intelligence & reporting team into a data-driven predictive analytics team
  • Deliver Insights: Translate data into insights and deliverables that directly influence Sales & Marketing teams' business decisions.
  • Develop and implement best practices by establishing workflows and reporting/predictive analytical capabilities to meet the demands of external and internal stakeholders.
  • Cultivate relationships to manage customer expectations to deliver the highest level of service in a demanding and ever-changing environment.
  • Ability to present to audiences of various sizes and authority levels.

Ability to collaborate with data scientists and technology management with a fundamental understanding of advanced modeling techniques.
The experience you bring:

  • Bachelor's degree
  • 10+ years of experience building & managing a reporting and predictive analytics team.
  • 7+ years of experience in the life insurance or financial services space.
  • Strong attention to detail, well organized, takes responsibility for actions and projects.
  • Dynamic and inspirational leadership skills
  • Proficient with Microsoft Office applications and familiarity with data visualization and preparation tools such as Tableau and Alteryx.

#LI-TB1

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$184,680.00 - $225,720.00

Your Benefits Start Day 1

Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.


Pacific Life logo

About Pacific Life

Sourced by ZipRecruiter

When you purchase life insurance and retirement solutions, you're buying a promise. A promise that today, tomorrow or ten years from now, we'll be there. For more than 150 years, our clients have trusted Pacific Life to protect what matters most to them - their families, their businesses, their futures.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Newport Beach, CA, US

Year founded

1868

Social media