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Data Analytics Supervisor Jobs (NOW HIRING)

Caterpillar

Lead Data Scientist

Irving, TX · On-site

The Lead Data Scientist reports to an Analytics Supervisor and bears primary responsibility for solving the business problem presented through applied analytics and directing the team technically.

Leidos

Data Analytics Summer Intern

Bethesda, MD · On-site

$48.10K - $86.95K/yr

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern ... Experience with Python, Supervised Learning, Convolutional Neural Networks (PyTorch) is preferred

Leidos

Data Analytics Summer Intern

Bethesda, MD · On-site

$48.10K - $86.95K/yr

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern ... Experience with Python, Supervised Learning, Convolutional Neural Networks (PyTorch) is preferred

Troy University

Lecturer - Data Analytics

Troy, AL · On-site

Posting Details Position Information Posting Number F0997P Position Title Lecturer - Data Analytics ... have supervisory responsibility? No Posting Date 04/08/2026 Closing Date Open Until Filled Yes ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by ... Supervisory Responsibilities: None Qualifications Education and Experience: Education and ...

Dexian DISYS

Data Analyst

Redmond, WA · On-site

Data Analyst On site in Redmond WA Must have PLM tools experience for Data Analyst - PLM Project GENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; you will ...

Dexian

Data Analyst

Redmond, WA · On-site

... supervisor or manager; you will collect, process, map, and analyze data to support the loading of ... Bachelor's degree in data Analytics, Statistics, Mathematics, Computer Science, or a related field

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Data Analytics Supervisor information

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$31K

$97.1K

$172K

How much do data analytics supervisor jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics supervisor in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Supervisor, and why are they important?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a Data Analytics Supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

What does a Data Analytics Supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

Is a data analyst dead in 10 years?

A data analyst role is expected to evolve rather than disappear in the next decade, as demand for data-driven decision-making continues to grow. Skills in data visualization, statistical analysis, and tools like SQL and Excel will remain valuable, though automation and advanced analytics may shift some responsibilities. Continuous learning and adapting to new technologies will be important for job security in this field.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

More about Data Analytics Supervisor jobs
What cities are hiring for Data Analytics Supervisor jobs? Cities with the most Data Analytics Supervisor job openings:
What states have the most Data Analytics Supervisor jobs? States with the most job openings for Data Analytics Supervisor jobs include:
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Data Analytics Supervisor jobs near you
Infographic showing various Data Analytics Supervisor job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Lead Data Scientist

Lead Data Scientist

Caterpillar

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 457 frontline employees who took The Breakroom Quiz

216th of 415 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
The Cybersecurity GRC - Technology & Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration & enhancement for Caterpillar in Advanced Analytics and GenAI initiatives for the Technology & Analytics team.
Significant responsibilities of this position are working with people; enhancing the team's creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.
What You Will Do:
Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs; providing input into technology roadmaps and application evolution plans; acting as a researcher and evaluator of new technology, information, or integration standards. The Lead Data Scientist reports to an Analytics Supervisor and bears primary responsibility for solving the business problem presented through applied analytics and directing the team technically. Individual work will primarily be directed by Manager and Stakeholders in terms of business requirements and needs.
  • Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models.
  • Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques.
  • Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
  • Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers
  • Communicate and Present the Technical Deliverables to stakeholders and business in an easy-to-understand way.
  • Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
  • Develop, validate, train and implement statistical models, and implement digital solutions
  • Participate on 3-4 projects/products concurrently
  • Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
  • Have a strong focus on continual learning in the Analytics field
  • Possess thorough statistical and/or digital technology knowledge and the ability to solve low to medium complexity problems.
  • Have very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.

What You Have:
  • Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
  • Machine Learning / AI: Extensive knowledge of principles, technologies and algorithms of machine learning
  • Programming Languages: Extensive knowledge in the application of Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Database Management and Consumption: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
  • Data Analysis: Posses the ability to conduct thorough data analysis and produce data mapping documents per the business requirements; extensive capabilities in SQL, data modeling, and understanding of data processing including ETL / ELT
  • Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Top Candidates Will Have:
  • Typically Master's degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
  • Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
  • Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
  • Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
  • Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc)
  • Extensive experience with Snowflake and SQL
  • Advanced experience in DevOPs and ML-OPs
  • Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively; Presenting technical work in small or large setting of Stakeholders and Leaders.
  • Experience with GenAI is plus

Additional Info:
  • The ideal location for this role is East Peoria-IL, Irving-TX, Nashville-TN
  • This position may require 20% travel.

About Caterpillar -
For more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company's primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers' toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at www.caterpillar.com.
Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
May 15, 2026 - May 28, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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