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Data Analyst Data Science Jobs (NOW HIRING)

Dell, Inc.

Analyst, Data Science

Round Rock, TX · On-site

$86K - $112K/yr

Analyst, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our ...

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$2.3K - $3.2K/yr

Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

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 ...

Gap, Inc.

Senior Analyst, Data Science

Coppell, TX · On-site

$169K - $222K/yr

Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics ...

Point72

Data Scientist

New York, NY

Build analytical tools to supplement our shared research framework. Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative ...

Cliff Services Inc

Data Scientist

Dallas, TX · On-site

... analytics and visualization Requirements 1-5 years in a data analyst, data scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling Proficiency in Python, R, or ...

Cliff Services Inc

Data Scientist

Frisco, TX · On-site

... analytics and visualization Requirements 5+ years in a data analyst, data scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling Proficiency in Python, R, or ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

... and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI

$77K - $176K/yr

You Have: * 5+ years of experience with Data Analysis, Data Science, and Data Visualization, including integrating data feeds to display information * 5+ years of experience identifying and ...

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Data Analyst Data Science information

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$34K

$82.6K

$136K

How much do data analyst data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data analyst data science 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.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
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Data Analyst Data Science jobs near you
Analyst, Data Science

Analyst, Data Science

Dell, Inc.

Round Rock, TX • On-site

$86K - $112K/yr

Full-time

Posted 6 days ago

Job description

Analyst, Data Science 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What's more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. 

What you'll achieve: 

As an Analyst, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives. 

Join us to do the best work of your career and make a profound social impact as an Analyst on our Data Science team.

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: 

Essential Requirements 

  • 1+ years of related experience in a professional role or equivalent experience
  • Expertise in statistical modeling, machine learning, and data visualization.
  • Proficiency in Python/R and experience with big data platforms.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities. 

Desirable Requirements 

  • Bachelor's degree in Data Science, Computer Science, or related field a plus
  • Certifications in AI/ML or cloud data platforms. 

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $86,700 - 112,000

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

You will: 
  • Develop and deploy predictive models and machine learning algorithms.
  • Collaborate with stakeholders to translate business needs into data science solutions.
  • Ensure data integrity, governance, and compliance across projects.
  • Drive continuous improvement through experimentation and innovation.
DELL logo

About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984

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