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From Home Predictive Analytics Jobs (NOW HIRING)

As the Director of Predictive Modeling, you will serve as a senior technical expert responsible for ... Develop end-to-end analytical solutions, from data acquisition and preparation through model ...

$138 - $246/hr

This role owns the KPIs, data infrastructure, dashboards, predictive analytics, and competitive intelligence that measure and optimize the end-to-end customer lifecycle -- from pipeline and ...

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From Home Predictive Analytics information

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$27K

$112.7K

$200.5K

How much do from home predictive analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for from home predictive analytics in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

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

AspectFrom Home Predictive AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentRemote, home-based role with flexible hoursTypically office-based, but remote options are common
Industry UsageUsed across tech, finance, marketing for predictive modelingUsed in various industries for data interpretation and reporting
Common Search/ComparisonOften compared for roles involving predictive modeling from homeCompared for data interpretation roles in analytics

From Home Predictive Analytics focuses on building models to forecast future trends remotely, requiring skills in machine learning and statistical modeling. Data Analysts interpret existing data to generate reports and insights, often with less emphasis on predictive modeling. Both roles may overlap but differ mainly in their focus on prediction versus analysis and work environment.

Can you work from home in from home predictive analytics?

Yes, many predictive analytics roles, including those performed from home, are suitable for remote work. These jobs often require skills in data analysis, statistical software, and communication tools, and may involve flexible schedules depending on the employer.

What jobs use predictive analytics?

Jobs that use predictive analytics include data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

What cities are hiring for From Home Predictive Analytics jobs?

Cities with the most From Home Predictive Analytics job openings:

What are the most commonly searched types of Predictive Analytics jobs?

The most popular types of Predictive Analytics jobs are:

What states have the most From Home Predictive Analytics jobs?

States with the most job openings for From Home Predictive Analytics jobs include:

Infographic showing various From Home Predictive Analytics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Director, Commercial Insights & Analytics

Wolters Kluwer

Waltham, MA • On-site

$137K - $246K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies


Job description

The Director, Commercial Insights & Analytics leads the commercial analytics, market insights, and competitive intelligence strategy for the Health Division, enabling data-driven decisions that improve sales effectiveness, customer growth, retention, and commercial performance. This role owns the KPIs, data infrastructure, dashboards, predictive analytics, and competitive intelligence that measure and optimize the end-to-end customer lifecycle - from pipeline and forecasting to pricing, renewals, and expansion.

As a strategic partner to Sales, Marketing, Finance, Product, and Enterprise Data teams, you will deliver actionable insights and market context that improve forecasting, pipeline health, pricing, sales productivity, renewals, and customer expansion, while tracking competitor positioning and market shifts to keep commercial strategy ahead of the market. Leveraging Salesforce, Tableau, Power BI, SQL, AI, and advanced analytics, you will transform commercial and market data into executive-ready insights that drive growth and operational excellence.

Leading a high-performing analytics, competitive intelligence, and market research team, you will establish enterprise analytics standards, champion AI-driven decision-making, and serve as a trusted advisor to commercial leadership on business performance, market dynamics, and strategic priorities.

Key Responsibilities

  • Define and execute the commercial analytics and market insights strategy supporting revenue growth, customer retention, and sales productivity.
  • Develop KPI frameworks, executive dashboards, and predictive analytics models that improve commercial performance and decision-making speed.
  • Own the organization's competitive intelligence program - tracking competitor positioning, pricing, product moves, and market share shifts, and translating findings into battlecards, playbooks, and sales enablement content.
  • Measure the effectiveness and ROI of sales, marketing, pricing, and customer success initiatives, and use market/competitive context to explain performance against the broader landscape.
  • Conduct market sizing, segmentation, and industry trend research (TAM/SAM) to inform go-to-market strategy, territory design, and resource allocation.
  • Partner with Sales, Marketing, Product, Finance, and Enterprise Data teams to deliver actionable business insights and ensure market intelligence is embedded in planning and incentive design.
  • Lead the commercial analytics roadmap, including AI, automation, reporting, and data governance capabilities, establishing enterprise-wide analytics standards.
  • Deliver the data, forecasting models, and competitive context that power executive business rhythms, including QBRs, forecast reviews, account reviews, and annual planning.
  • Build, coach, and develop a high-performing Commercial Insights & Analytics team, fostering a culture of rigor, curiosity, and continuous improvement.
  • Serve as a trusted advisor to executive leadership, influencing decision-making through data-driven recommendations and identifying growth opportunities and competitive risks.

Qualifications

  • Bachelor's degree in Business, Analytics, Finance, Data Science, or a related field.
  • 10+ years of experience in Commercial Analytics, Sales Operations, Revenue Operations, Business Intelligence, Market Insights, Competitive Intelligence, or Strategy.
  • 5+ years leading analytics, business intelligence, or competitive intelligence teams.
  • Experience supporting high-growth SaaS organizations.
  • Expertise with Salesforce, Tableau, Power BI, SQL, forecasting, pipeline analytics, market segmentation, and commercial performance measurement.
  • Strong executive communication, stakeholder management, and analytical leadership skills.

Preferred

  • Master's degree or MBA.
  • Experience with AI/ML, predictive analytics, and commercial transformation.
  • Knowledge of healthcare information, clinical technology, or subscription-based business models.
  • Familiarity with competitive intelligence platforms (e.g., Klue, Crayon).
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$137,900.00 - $246,350.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US