Head of Analytics Jobs
Head of Analytics jobs are open across fintech, healthcare, retail, and technology, covering specializations in business intelligence, data strategy, and product analytics, at every level from senior analyst to VP. Find a role that fits below and apply directly.
Find Head of Analytics JobsOverview
Showing 5 of 12+ Head of Analytics jobs
We invite you to explore a future with us at PRA Group, a diverse and growing company that has a tangible impact on the global economy.
Position Summary:
The Head of Quantitative Modeling, Analytics and Forecasting is responsible for developing and leading quantitative models and forecasts that project cash flows and cost expectations across Legal Operations, supporting strategic planning, budgeting, and business decision-making.Leads the development and application of analytical models, performance insights, and decision-support frameworks to improve business outcomes and operational effectiveness. Partners closely with business leaders to understand processes, identify pain points, quantify opportunities, and translate complex challenges into scalable analytical solutions. Oversees the design, implementation, and continuous refinement of models, metrics, and reporting capabilities to drive ongoing performance improvement and informed decision-making. Ensures the integrity, quality, and governance of data assets while guiding analytical priorities, advancing data-driven practices, and developing team capabilities to maximize business impact.
This is a hybrid position working 3 days onsite at our Norfolk, VA or our Charlotte, NC office.
Professional Experience and Qualifications:
- 7+ years of relevant experience in analytics, business intelligence, data science, operations research, or related disciplines, including experience leading projects, programs, or teams.
- Advanced experience building and utilizing sophisticated cash flow models such as DCF (Discount Cash Flow Modeling), or KNN or Monte Carlo, to monitor cash flows and costs and create forecasts for short term and long term.
- Expert analytical, statistical, and business modeling skills, including the ability to develop, validate, implement, and continuously refine models that improve operational and financial performance.
- Advanced expertise and experience working with Python, SQL, R and Power BI.
- Senior experience in data analytics, statistical modeling, data mining, data visualization, reporting, and Structured Query Language (SQL), with demonstrated ability to develop, implement, and continuously refine analytical models that drive business performance improvements.
- Strong understanding of business processes, operational workflows, performance drivers, and organizational pain points, with the ability to translate business needs into scalable analytical solutions and actionable recommendations.
- Experience leading cross-functional analytical initiatives, partnering with business stakeholders, and influencing strategic and operational decision-making through data-driven insights.
- Experience developing and mentoring analytical talent, establishing best practices, and ensuring high standards of analytical rigor, data quality, and governance.
- Education: Bachelor’s Degree in a Science, Technology, Engineering, Mathematics (STEM) or Quantitative (required).
Skills/Knowledge/Qualities/Languages:
- Advanced Structured Query Language (SQL) proficiency, including complex joins, unions, pivots, common table expressions, window functions, stored procedures, functions, and query optimization.
- Advanced experience with Microsoft SQL Server, including creation, modification, execution, and monitoring of scheduled jobs, stored procedures, and database processes.
- Advanced data visualization and business intelligence skills using tools such as Microsoft Power BI, Python, R Shiny, or equivalent platforms to communicate insights and performance trends effectively.
- Advanced knowledge of data mining, data analysis, reporting, forecasting, performance measurement, and decision-support methodologies.
- Advanced ability to understand business processes, operational workflows, customer journeys, and organizational pain points and translate them into analytical solutions and measurable improvement opportunities.
- Advanced ability to identify, quantify, and communicate business impact, risks, opportunities, and performance drivers through data-driven analysis and modeling.
- Advanced project and program leadership skills, including prioritization, resource planning, stakeholder management, and execution of multiple concurrent initiatives.
- Advanced ability to diagnose, investigate, and resolve complex data quality, process, operational, and business performance issues.
- Advanced experience gathering business requirements and translating them into scalable analytical frameworks, reporting solutions, and performance management processes.
- Advanced knowledge of data governance, controls, data quality standards, and analytical best practices.
- Advanced written, verbal, and presentation communication skills, with the ability to explain complex analytical concepts to technical and non-technical audiences.
- Advanced relationship-building and influencing skills, including the ability to partner effectively with senior leaders and cross-functional stakeholders.
- Advanced leadership, coaching, and talent development skills, including mentoring analysts and fostering a culture of analytical rigor, continuous improvement, and accountability.
- Demonstrated ability to drive continuous improvement through ongoing monitoring, model refinement, experimentation, and measurement of business outcomes.
- Strong business acumen with the ability to balance analytical depth, practical implementation considerations, and organizational priorities.
- Fluent English, written and oral, required.
Key Responsibilities:
- Lead the identification, prioritization, and delivery of advanced analytical and modeling initiatives that address business challenges, improve operational performance, and support strategic objectives.
- Partner with business leaders and cross-functional stakeholders to understand business processes, pain points, risks, and value drivers; translate opportunities into analytical frameworks, pragmatic models, and performance metrics.
- Oversee the development, validation, implementation, and continuous refinement of predictive, prescriptive, and diagnostic models to improve decision-making, operational efficiency, and business outcomes.
- Establish and maintain performance measurement frameworks, key performance indicators, dashboards, and reporting capabilities that provide visibility into business performance and support ongoing optimization efforts.
- Ensures data quality, governance, compliance, and control standards are embedded within analytical processes and decision-support solutions, maintaining confidence in data-driven recommendations.
- Lead, coach, and develop analytical talent by establishing best practices, promoting analytical rigor, and fostering a culture of continuous learning, innovation, and business partnership.
- Serve as the subject matter expert for assigned business domains, providing strategic guidance on analytical approaches, model application, performance improvement opportunities, and emerging capabilities.
Leadership/Supervisory Responsibilities & Level:
- Responsible for the overall leadership, development, and performance of several analytics professionals. Establishes priorities, assigns work, and ensures alignment of analytical initiatives with business objectives and strategic goals.
- Partners with senior business stakeholders to prioritize work, allocate resources, resolve issues, and balance short-term operational needs with long-term analytical capability development. Ensure team deliverables are accurate, actionable, timely, and aligned with organizational objectives.
- Leads the team's execution of modeling, reporting, and analytical initiatives while ensuring the appropriate application of methodologies, tools, and quality standards. Guides the translation of business challenges and operational pain points into analytical solutions that drive measurable business value.
- Recruits, coaches, develop, and evaluate employees, providing ongoing feedback, career development guidance, and performance management. Fosters a culture of analytical rigor, continuous improvement, collaboration, and business partnership.
Salary Range:
PRA Group has an effective process for assessing market data and establishing ranges to ensure we remain competitive. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, specific working location and market position. This posted salary range is a good faith and reasonable estimate, and PRA Group reserves the right to adjust this range depending on the qualifications and location of the selected candidate. In addition to base salary, PRA may offer additional benefits to include performance based bonus programs and/or equity programs depending on the position. PRA offers paid time off, medical, dental, vision, 401k match, life insurance, and other benefits to assist with the physical and mental wellbeing of our employees.
All qualified applicants will receive consideration for employment regardless of age, race, color, sex, gender, religion, national origin, physical or mental disability, citizenship, or any other classes recognized by state or local law or any other characteristic protected under applicable federal, state or local law. We are a drug free workplace.
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
We invite you to explore a future with us at PRA Group, a diverse and growing company that has a tangible impact on the global economy.
Position Summary:
The Head of Quantitative Modeling, Analytics and Forecasting is responsible for developing and leading quantitative models and forecasts that project cash flows and cost expectations across Legal Operations, supporting strategic planning, budgeting, and business decision-making.Leads the development and application of analytical models, performance insights, and decision-support frameworks to improve business outcomes and operational effectiveness. Partners closely with business leaders to understand processes, identify pain points, quantify opportunities, and translate complex challenges into scalable analytical solutions. Oversees the design, implementation, and continuous refinement of models, metrics, and reporting capabilities to drive ongoing performance improvement and informed decision-making. Ensures the integrity, quality, and governance of data assets while guiding analytical priorities, advancing data-driven practices, and developing team capabilities to maximize business impact.
This is a hybrid position working 3 days onsite at our Norfolk, VA or our Charlotte, NC office.
Professional Experience and Qualifications:
- 7+ years of relevant experience in analytics, business intelligence, data science, operations research, or related disciplines, including experience leading projects, programs, or teams.
- Advanced experience building and utilizing sophisticated cash flow models such as DCF (Discount Cash Flow Modeling), or KNN or Monte Carlo, to monitor cash flows and costs and create forecasts for short term and long term.
- Expert analytical, statistical, and business modeling skills, including the ability to develop, validate, implement, and continuously refine models that improve operational and financial performance.
- Advanced expertise and experience working with Python, SQL, R and Power BI.
- Senior experience in data analytics, statistical modeling, data mining, data visualization, reporting, and Structured Query Language (SQL), with demonstrated ability to develop, implement, and continuously refine analytical models that drive business performance improvements.
- Strong understanding of business processes, operational workflows, performance drivers, and organizational pain points, with the ability to translate business needs into scalable analytical solutions and actionable recommendations.
- Experience leading cross-functional analytical initiatives, partnering with business stakeholders, and influencing strategic and operational decision-making through data-driven insights.
- Experience developing and mentoring analytical talent, establishing best practices, and ensuring high standards of analytical rigor, data quality, and governance.
- Education: Bachelor’s Degree in a Science, Technology, Engineering, Mathematics (STEM) or Quantitative (required).
Skills/Knowledge/Qualities/Languages:
- Advanced Structured Query Language (SQL) proficiency, including complex joins, unions, pivots, common table expressions, window functions, stored procedures, functions, and query optimization.
- Advanced experience with Microsoft SQL Server, including creation, modification, execution, and monitoring of scheduled jobs, stored procedures, and database processes.
- Advanced data visualization and business intelligence skills using tools such as Microsoft Power BI, Python, R Shiny, or equivalent platforms to communicate insights and performance trends effectively.
- Advanced knowledge of data mining, data analysis, reporting, forecasting, performance measurement, and decision-support methodologies.
- Advanced ability to understand business processes, operational workflows, customer journeys, and organizational pain points and translate them into analytical solutions and measurable improvement opportunities.
- Advanced ability to identify, quantify, and communicate business impact, risks, opportunities, and performance drivers through data-driven analysis and modeling.
- Advanced project and program leadership skills, including prioritization, resource planning, stakeholder management, and execution of multiple concurrent initiatives.
- Advanced ability to diagnose, investigate, and resolve complex data quality, process, operational, and business performance issues.
- Advanced experience gathering business requirements and translating them into scalable analytical frameworks, reporting solutions, and performance management processes.
- Advanced knowledge of data governance, controls, data quality standards, and analytical best practices.
- Advanced written, verbal, and presentation communication skills, with the ability to explain complex analytical concepts to technical and non-technical audiences.
- Advanced relationship-building and influencing skills, including the ability to partner effectively with senior leaders and cross-functional stakeholders.
- Advanced leadership, coaching, and talent development skills, including mentoring analysts and fostering a culture of analytical rigor, continuous improvement, and accountability.
- Demonstrated ability to drive continuous improvement through ongoing monitoring, model refinement, experimentation, and measurement of business outcomes.
- Strong business acumen with the ability to balance analytical depth, practical implementation considerations, and organizational priorities.
- Fluent English, written and oral, required.
Key Responsibilities:
- Lead the identification, prioritization, and delivery of advanced analytical and modeling initiatives that address business challenges, improve operational performance, and support strategic objectives.
- Partner with business leaders and cross-functional stakeholders to understand business processes, pain points, risks, and value drivers; translate opportunities into analytical frameworks, pragmatic models, and performance metrics.
- Oversee the development, validation, implementation, and continuous refinement of predictive, prescriptive, and diagnostic models to improve decision-making, operational efficiency, and business outcomes.
- Establish and maintain performance measurement frameworks, key performance indicators, dashboards, and reporting capabilities that provide visibility into business performance and support ongoing optimization efforts.
- Ensures data quality, governance, compliance, and control standards are embedded within analytical processes and decision-support solutions, maintaining confidence in data-driven recommendations.
- Lead, coach, and develop analytical talent by establishing best practices, promoting analytical rigor, and fostering a culture of continuous learning, innovation, and business partnership.
- Serve as the subject matter expert for assigned business domains, providing strategic guidance on analytical approaches, model application, performance improvement opportunities, and emerging capabilities.
Leadership/Supervisory Responsibilities & Level:
- Responsible for the overall leadership, development, and performance of several analytics professionals. Establishes priorities, assigns work, and ensures alignment of analytical initiatives with business objectives and strategic goals.
- Partners with senior business stakeholders to prioritize work, allocate resources, resolve issues, and balance short-term operational needs with long-term analytical capability development. Ensure team deliverables are accurate, actionable, timely, and aligned with organizational objectives.
- Leads the team's execution of modeling, reporting, and analytical initiatives while ensuring the appropriate application of methodologies, tools, and quality standards. Guides the translation of business challenges and operational pain points into analytical solutions that drive measurable business value.
- Recruits, coaches, develop, and evaluate employees, providing ongoing feedback, career development guidance, and performance management. Fosters a culture of analytical rigor, continuous improvement, collaboration, and business partnership.
Salary Range:
PRA Group has an effective process for assessing market data and establishing ranges to ensure we remain competitive. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, specific working location and market position. This posted salary range is a good faith and reasonable estimate, and PRA Group reserves the right to adjust this range depending on the qualifications and location of the selected candidate. In addition to base salary, PRA may offer additional benefits to include performance based bonus programs and/or equity programs depending on the position. PRA offers paid time off, medical, dental, vision, 401k match, life insurance, and other benefits to assist with the physical and mental wellbeing of our employees.
All qualified applicants will receive consideration for employment regardless of age, race, color, sex, gender, religion, national origin, physical or mental disability, citizenship, or any other classes recognized by state or local law or any other characteristic protected under applicable federal, state or local law. We are a drug free workplace.
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
Head of Analytics Jobs by Experience Level
See All 12 Head of Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Head of Analytics JobsHead of Analytics Job Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
- Technology & Software
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in head of analytics jobs.
- 7 or more years of experience in analytics, data science, or business intelligence
- Proficiency in SQL and at least one programming language such as Python or R
- Experience leading and managing a team of analysts or data scientists
- Hands-on expertise with BI tools such as Tableau, Looker, or Power BI
- Strong communication skills for translating data insights to executive stakeholders
- Bachelor's or master's degree in statistics, mathematics, computer science, or a related field
Tips for Your Head of Analytics Job Search
Tailor your resume to the business
Head of analytics hiring managers want to see the size of teams you've led, the scale of data infrastructure you've owned, and the business outcomes your work drove. Quantify impact in revenue, cost, or efficiency terms, not just technical outputs.
Apply early to roles that fit
Migrate Mate lists head of analytics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight your stack alongside your strategy
Job postings for head of analytics roles almost always specify tools like SQL, Python, Tableau, or dbt alongside leadership expectations. Name your fluency level with each tool explicitly so your resume clears automated screening before a hiring manager ever reads it.
Target companies by their data maturity
A head of analytics at a Series B startup is building the function from scratch. At a large enterprise, you're optimizing an existing org. Read the job description for clues about maturity level and pitch your experience to match the actual challenge they're hiring for.
Prepare a data strategy case for interviews
Many head of analytics interviews include a take-home or live case where you diagnose a business problem using data. Practice structuring your answer around the decision the business needs to make, not just the analysis you'd run.
Negotiate scope before you negotiate compensation
Before accepting or countering an offer, clarify reporting structure, team size, and budget authority in writing. These details determine whether you can actually do the job you were hired for, and they're easier to lock down before you sign.
Head of Analytics Jobs: Frequently Asked Questions
Which companies are hiring the most head of analyticss?
Gusto, Revolution Medicines, and Mars are hiring the most head of analyticss right now, with openings concentrated in Virginia, Nevada, and Colorado, based on current listings on Migrate Mate as of November 2026. Demand is highest at companies scaling their data infrastructure or undergoing digital transformation.
How many head of analytics jobs are remote?
About 78% of head of analytics openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed leadership. Strategy-focused and business intelligence roles tend to offer the most remote flexibility, while roles that require close collaboration with engineering or product teams are more likely to expect in-office presence.
How do you become a head of analytics?
Start by building deep technical fluency in SQL, a scripting language, and at least one BI platform, then move into roles where you own an analytics domain end-to-end rather than contributing to someone else's. Take on cross-functional projects that require you to present findings to non-technical stakeholders. From there, pursue a manager or director role where you're responsible for a team's output, not just your own. Consistent delivery at that level positions you to step into a head-level role.
Can you get a head of analytics job without prior management experience?
Some companies will hire a strong individual contributor into a head of analytics role if the team is small or the function is new, but most postings list people management as a requirement. The most practical path without formal management experience is to lead a project where you coordinate other analysts, mentor junior team members, or own a function that requires directing cross-functional contributors.
What does the head of analytics interview process look like?
Most processes run three to five rounds. An initial screen with HR or a recruiter is followed by a technical interview covering SQL, analytical problem-solving, or tool proficiency. After that, expect a case study or take-home where you diagnose a business problem using data. Final rounds typically include a panel with senior stakeholders or executive leadership, often focused on your vision for the analytics function and how you've influenced decisions at prior companies.
Where can I find and apply to head of analytics jobs?
You can find and apply to head of analytics jobs on Migrate Mate, which lists current openings from across the United States. Find roles that fit your background and apply directly to each listing.
See All 12 Head of Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Head of Analytics Jobs