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Data Science Analyst Jobs (NOW HIRING)

Further

Data Science Analyst

Atlanta, GA · On-site

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

Generac

Data Science Analyst

Waukesha, WI · On-site

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Phase2 Technology

Data Science Analyst II

Austin, TX · On-site

$72 - $88/hr

Data Science Analyst II Department: Dell Medical School Location: UT MAIN CAMPUS Weekly Scheduled Hours: 40 FLSA Status: Exempt from FLSA Earliest Start Date: Immediately Purpose The Data Science ...

New

Further

Data Science Analyst

Cleveland, OH

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Mayo Clinic

$102K - $143K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Mayo Clinic

Data Science Analyst

Rochester, MN

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Mayo Clinic

Data Science Analyst

Rochester, MN

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

GDIT

Data Science Analyst

Springfield, VA · On-site

$133K - $180K/yr

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

GDIT

Data Science Analyst

Saint Louis, MO · On-site

$133K - $180K/yr

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

Stride, Inc.

Data Science Analyst

The Data Science Analyst assists in the preparation, design and execution of models and data products to improve the academic and business outcomes of Stride. The position participates as a member of ...

Stride, Inc.

Data Science Analyst

The Data Science Analyst assists in the preparation, design and execution of models and data products to improve the academic and business outcomes of Stride. The position participates as a member of ...

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Data Science Analyst information

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$136K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

What is the difference between Data Science Analyst vs Data Analyst?

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

More about Data Science Analyst jobs

What cities are hiring for Data Science Analyst jobs?

Cities with the most Data Science Analyst job openings:

What are the most commonly searched types of Data Science Analyst jobs?

The most popular types of Data Science Analyst jobs are:

Who are the top companies hiring for Data Science Analyst jobs?

The top employers for Data Science Analyst jobs are:

What states have the most Data Science Analyst jobs?

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

Data Science Analyst jobs near you
Infographic showing various Data Science Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Science Analyst

Further

Atlanta, GA • On-site

Full-time

Re-posted 18 days ago

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.
What you bring:
  • 2-5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
  • Strong command of R and/or Python for data manipulation and statistical analysis.
  • Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
  • Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
  • Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
  • Bonus Points: Exceptional "data-to-story" skills-the ability to explain the "so what" behind a coefficient or a p-value.
  • Bonus Points: Adobe Analytics

What you'll be doing:
  • Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
  • Assist in designing and executing reporting, analytics, and optimization briefs.
  • Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
  • Perform analysis to uncover actionable insights and develop data-driven recommendations
  • Present findings to internal and client stakeholders in a clear, business-focused way.

What you'll need to accomplish in your first year:
  • Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
  • Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

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