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Data Analyst Statistician Jobs (NOW HIRING)

Summary Curana Health is seeking a Senior Analyst - Statistician to join our Population Health ... In this role, you will use healthcare data, statistical methods, and observational research to ...

Senior Analyst - Statistician

$89K - $109K/yr

Summary Curana Health is seeking a Senior Analyst - Statistician to join our Population Health ... In this role, you will use healthcare data, statistical methods, and observational research to ...

Statistician/Data Analyst

Washington, DC · On-site

$107K - $138K/yr

No The Statistician/Data Analyst supports the data collection and analysis efforts of a government program and contributes to the ongoing initiatives of a larger team. The ideal candidate will ...

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... The ideal candidate will have a strong desire to use mathematical and statistical expertise and ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Coursework or projects in data analysis, statistics, or a related field * Familiarity with relational data modeling concepts (tables, keys, relationships) * Knowledge of scripting languages like PHP ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Boston, MA 02110 Type: 6-Month Contract Job Summary We are seeking a Safety Data Analyst to develop data-driven analysis reports, executive dashboards, and statistical models to identify safety ...

Coursework or projects in data analysis, statistics, or a related field * Familiarity with relational data modeling concepts (tables, keys, relationships) * Knowledge of scripting languages like PHP ...

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... The ideal candidate will have a strong desire to use mathematical and statistical expertise and ...

Minimum Associate's degree with Bachelor's degree preferred in Data Analytics, Statistics, Computer Science, Engineering, Business Analytics, or a related field. * 1-5 years of experience with data ...

Minimum Associate's degree with Bachelor's degree preferred in Data Analytics, Statistics, Computer Science, Engineering, Business Analytics, or a related field. * 1-5 years of experience with data ...

This position is responsible for gathering, analyzing and reporting statistical information and ... The Data Analyst position will complete or assign other data requests. FLSA STATUS Exempt ...

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Data Analyst Statistician information

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$50.5K

$86.9K

$116.5K

How much do data analyst statistician jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analyst statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a data analyst statistician?

Data Analyst Statisticians are professionals who use statistical methods and data analysis techniques to collect, interpret, and present quantitative data. Their primary goal is to help organizations make informed decisions by identifying trends, patterns, and insights from complex datasets. They often work with various tools and software to clean, process, and visualize data, as well as to perform predictive modeling and hypothesis testing. Data Analyst Statisticians are employed in diverse industries such as healthcare, finance, government, and technology.

What are the key skills and qualifications needed to thrive as a data analyst statistician?

To thrive as a Data Analyst Statistician, you need a strong background in statistics, data analysis, and quantitative research, typically supported by a degree in mathematics, statistics, or a related field. Proficiency in statistical software such as R, Python, SAS, or SQL databases, as well as familiarity with data visualization tools like Tableau or Power BI, is essential. Critical thinking, problem-solving, and clear communication skills help you interpret data accurately and convey insights to stakeholders. These skills ensure data-driven decision-making and enable organizations to extract actionable insights from complex data sets.

How do data analyst statisticians typically collaborate with other departments within an organization?

Data Analyst Statisticians often work closely with teams such as marketing, finance, product development, and operations. They gather requirements from stakeholders, translate business questions into analytical tasks, and present findings in a way that supports data-driven decision-making. Effective communication is key, as they must explain complex statistical concepts to non-technical colleagues and ensure that analyses align with business goals. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic and interactive work environment.

What is the difference between Data Analyst Statistician vs Data Scientist?

AspectData Analyst StatisticianData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysisBachelor's or master's in computer science, statistics, or related; often includes programming certifications
Work EnvironmentBusiness, healthcare, finance; focus on data interpretation and reportingTech companies, research labs; focus on building models and algorithms
Employer & Industry UsageWidely used in corporate analytics, government, healthcareCommon in tech, e-commerce, and research sectors

Data Analysts and Statisticians primarily focus on analyzing data, creating reports, and applying statistical methods. Data Scientists often build predictive models, utilize advanced programming, and work on complex data problems. While both roles require strong analytical skills, Data Scientists typically have a broader technical skill set and work on more complex projects.

More about Data Analyst Statistician jobs

What cities are hiring for Data Analyst Statistician jobs?

Cities with the most Data Analyst Statistician job openings:

What states have the most Data Analyst Statistician jobs?

States with the most job openings for Data Analyst Statistician jobs include:

Infographic showing various Data Analyst Statistician job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

$140K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Curana Health rating

7.7

Company rating: 7.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

At Curana Health, we're on a mission to radically improve the health, happiness, and dignity of older adults-and we're looking for passionate people to help us do it.
As a national leader in value-based care, we offer senior living communities and skilled nursing facilities a wide range of solutions (including on-site primary care services, Accountable Care Organizations, and Medicare Advantage Special Needs Plans) proven to enhance health outcomes, streamline operations, and create new financial opportunities.
Founded in 2021, we've grown quickly-now serving 200,000+ seniors in 1,500+ communities across 32 states. Our team includes more than 1,000 clinicians alongside care coordinators, analysts, operators, and professionals from all backgrounds, all working together to deliver high-quality, proactive solutions for senior living operators and those they care for.
Ranked #147 on the Inc. 5000 list of America's fastest-growing private companies, we're just getting started. If you're looking to make a meaningful impact on the senior healthcare landscape, you're in the right place-and we look forward to working with you.
For more information about our company, visit CuranaHealth.com.
Summary
Curana Health is seeking a Senior Analyst - Statistician to join our Population Health Operations team. In this role, you will use healthcare data, statistical methods, and observational research to measure the real-world impact of Curana's clinical programs and help shape value-based care strategy.
This is an opportunity for a research-minded analytics professional who enjoys working with claims, EHR, CMS, MSSP, ACO, or other large-scale healthcare datasets and wants to see their work influence clinical outcomes, utilization, cost of care, and strategic decision-making. The ideal candidate is comfortable applying statistical methods to practical healthcare questions and translating results into insights that stakeholders can understand and use.
Why Join Curana Health
  • Work on high-impact analyses that directly inform care delivery, outcomes, utilization, and cost of care.
  • Apply rigorous statistical methods to real-world healthcare questions in a growing value-based care organization.
  • Collaborate with clinical, operational, analytics, and executive stakeholders who use your work to guide strategy and decision-making.
  • Contribute to meaningful proof points that support Curana's mission to improve health outcomes for seniors.
  • Join a small, collaborative team where your expertise will be visible, valued, and connected to meaningful decisions.

Essential Duties & Responsibilities
  • Design and execute observational research studies, including matched cohort analyses and other quasi-experimental approaches.
  • Evaluate the impact of clinical programs and interventions on outcomes such as utilization, cost of care, readmissions, avoidable utilization, quality outcomes, and CMS-related performance measures.
  • Develop statistically sound approaches to reduce bias and confounding in healthcare datasets.
  • Define cohorts, inclusion and exclusion criteria, comparison groups, exposure groups, and outcome measures aligned with study objectives.
  • Extract, clean, structure, and analyze large healthcare datasets, including claims, EHR, ACO, CMS, and MSSP data.
  • Build reproducible analytic datasets and workflows using SQL, Python, and other statistical programming tools.
  • Translate statistical findings into clear, actionable insights, reports, summaries, and visualizations for clinical, operational, financial, and executive stakeholders.
  • Partner with clinical leaders, analytics, data engineering, operations, product, and leadership teams to define study questions, interpret results, and apply findings.
  • Use AI-enabled tools, where appropriate, to improve analytic efficiency and support tasks such as feature generation, covariate selection, and workflow improvement.

Qualifications
Required Qualifications:
  • Minimum of 3 years of experience in healthcare analytics, outcomes research, applied statistics, biostatistics, epidemiology, or a related analytical/research environment.
  • Bachelor's degree required; advanced degree in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field preferred.
  • Master's Degree or PhD in Statistics, Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, or a related field is required.
  • Experience working with healthcare datasets such as claims, EHR, CMS, MSSP, ACO, or other large-scale clinical, utilization, or cost data.
  • Strong proficiency with Python and SQL.
  • Experience applying statistical methods to evaluate programs, outcomes, utilization, cost of care, readmissions, avoidable utilization, quality outcomes, or related healthcare performance measures.
  • Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.

Preferred Qualifications:
  • Experience with observational research, matched cohort studies, causal inference, propensity score methods, or frameworks for addressing bias and confounding.
  • Experience in value-based care, ACOs, population health, post-acute care, long-term care, health plans, academic research, university research, or similar research-focused environments.
  • Experience with R, SAS, Databricks, or AI-enabled coding and analytics tools such as Claude Code or Microsoft Copilot.
  • Experience developing publication-quality tables, executive summaries, manuscripts, internal reports, or external-facing research materials.

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