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Analytics Strategy Jobs (NOW HIRING)

Further

Data & Analytics Strategy

Cleveland, OH · On-site

... analytics, measurement, and optimization programs. * Experience developing complex data strategies and leading cross-functional data initiatives at enterprise scale. * Proven ability to lead client ...

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$54K

$100.9K

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How much do analytics strategy jobs pay per year?

As of Jul 12, 2026, the average yearly pay for analytics strategy in the United States is $100,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Analytics Strategy vs Data Analyst?

AspectAnalytics StrategyData Analyst
Primary FocusDeveloping overall data-driven plans and long-term strategiesAnalyzing data sets to generate reports and insights
Skills & CertificationsBusiness acumen, strategic thinking, data management, often with certifications like CBIP or similarStatistical analysis, SQL, Excel, with certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborates with leadership to align data initiatives with business goalsWorks with data sets, tools, and reporting platforms to produce insights

While both roles involve working with data, Analytics Strategy focuses on creating comprehensive plans to leverage data for business growth, whereas Data Analysts concentrate on examining data to generate specific insights and reports. Understanding these differences helps organizations assign the right responsibilities and professionals to each role.

What is an analytics strategy?

An analytics strategy is a plan that outlines how an organization uses data analysis to support decision-making and achieve business goals. For an analytics strategy role, it involves defining key metrics, selecting appropriate tools, and establishing processes for data collection, analysis, and reporting. Developing a strong strategy requires understanding business needs, data management, and analytical techniques.

What does a strategy analyst do?

A strategy analyst evaluates business data and market trends to develop strategic plans that improve company performance. They analyze financial reports, create models, and provide insights to support decision-making. Proficiency in data analysis tools and strong communication skills are essential for this role.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Chief Data Officer, Data Science Director, or Analytics Executive typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, strategic planning, and leadership, along with extensive experience and often relevant certifications.

What is analytics strategy?

Analytics strategy refers to the planning and implementation of processes, tools, and personnel required to collect, analyze, and use data effectively within an organization. Professionals in analytics strategy help organizations make data-driven decisions by aligning analytics initiatives with business goals. This involves identifying key metrics, selecting appropriate analytics technologies, and ensuring that data insights lead to actionable outcomes. An effective analytics strategy can improve efficiency, drive innovation, and provide a competitive advantage.

How does an Analytics Strategy professional typically collaborate with other departments within an organization?

Analytics Strategy professionals often act as a bridge between data teams and business units, working closely with departments such as marketing, finance, operations, and IT. They translate business objectives into data-driven strategies and ensure that analytics initiatives align with organizational goals. Collaboration often involves leading cross-functional meetings, understanding the specific needs of each department, and communicating insights in a clear, actionable manner. This collaborative environment helps drive adoption of analytical solutions and maximizes organizational impact.

What are the key skills and qualifications needed to thrive in Analytics Strategy, and why are they important?

To excel in Analytics Strategy, you need strong analytical thinking, data interpretation skills, and a background in business, statistics, or a related field. Expertise with data visualization tools (like Tableau or Power BI), statistical software (such as R or Python), and experience with data management systems are typically required. Strategic thinking, problem-solving, and effective communication enable professionals to translate analytical insights into actionable business recommendations. These skills are critical to inform decision-making and drive organizational growth through data-driven strategies.

Is 40 too late for data science?

For an analytics strategy role, starting a career in data science at age 40 is feasible, 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 help transition into data science roles regardless of age.
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Analytics Strategy jobs near you
Infographic showing various Analytics Strategy job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $100,896 per year, or $48.5 per hour.
Manager, Analytics & Strategy

Manager, Analytics & Strategy

Hopscotch Primary Care

Chicago, IL

$120K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

ABOUT THE ROLE 

We are looking for a Manager to support our Analytics and Strategy & Operations teams, both of which play a pivotal role in delivering data-driven insights and driving growth and operational excellence of Hopscotch. This individual will be responsible for leading operational, analytical, and strategic initiatives for high-leverage areas of the business and quickly drive results. The ideal candidate has strong analytical skills paired with first principles thinking and an ownership mentality.

WHAT YOU'LL DO

  • Develop and maintain operational analytics to drive insights and action for key stakeholders across the organization (e.g., leadership, PCPs, clinic teams)
  • Conduct complex, detailed analyses to inform strategic, clinical, and operational decisions
  • Build and maintain complex financial and operational models and reporting to support decision-making
  • Identify and validate new opportunities to apply generative AI to improve access and quality of care
  • Work with the leadership team to pinpoint the highest leverage opportunities and needs across the business
  • Support metric governance program to ensure highest priority metrics are accurate and consistent across the organization
  • Support build vs. buy vs. partner assessments and assist in high-impact capital allocation decisions
  • Monitor regulatory changes and federal/state funding opportunities impacting care delivery, digital health, and value-based models

ABOUT YOU

  • You thrive in the dynamic, fast-paced environment of a start-up
  • You have a high degree of comfort with ambiguity
  • You are a self-starter with an ownership mindset
  • You are results-driven
  • You are extremely detail-oriented
  • You challenge the status quo to figure out the optimal way to execute your work
  • You are an exceptional communicator and can make the complex simple   
  • You collaborate effectively with both business and clinical stakeholders
  • You have a low ego and are willing to get scrappy
  • You are passionate about transforming rural healthcare

REQUIRED QUALIFICATIONS:

  • 3-5 years of work experience in fast-paced environment such as management consulting, investment banking, or early-stage startup
  • Experience leading complex, cross-functional initiatives and driving results with minimal guidance
  • Experience presenting to and collaborating with executive leadership
  • High proficiency with Excel, PowerPoint, and AI tools (e.g., ChatGPT, Claude)
  • Strong grasp of statistical concepts and skilled at data storytelling
  • Experience working in digital health, care delivery, or health insurance
  • Familiarity with value-based care and key healthcare industry dynamics/trends

NICE-TO-HAVE QUALIFICATIONS:

  • Proficiency with data querying and scripting languages (e.g. SQL, Python)
  • Proficiency with data visualization tools (e.g. Tableau, PowerBI, etc.)
  • Experience with causal inference and quasi-experimental methods
  • Experience with machine learning techniques

In accordance with the Illinois Pay Transparency Act, we're providing the full salary range for this position. Actual compensation will be determined based on location, relevant experience and qualifications. Most offers will fall within a portion of the listed range. This position has a salary range of $120,000 - $140,000 annually, based on location, relevant experience and qualifications. In addition to base salary, we offer a comprehensive benefits package that includes:

  • Paid holidays + PTO
  • Company sponsored medical, dental, and vision insurance for you + your family
  • FREE short-term and long-term disability insurance
  • FREE $100k life insurance policy
  • 401k plan with 4% company match + no vesting period
  • $720 - $1,000 added to employee Health Savings Account annually for eligible health plans
  • And more!

Apply