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Data Science Analytics Jobs (NOW HIRING)

Raytheon

Senior Analyst Data Science & Analytics

Phoenix, AZ

$85K - $107K/yr

Together, we push the boundaries of known science and find new ways to connect Raytheon brings the ... Data, Analytics, & AI Supplier & Munitions Acceleration Response team. This role allows you to ...

New

Zeta Global

Senior Manager, Insights and Analytics

$125K - $145K/yr

THE ROLE Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division. They will be ...

Lutron Electronics

Data Scientist

Boston, MA · On-site

Responsibilities : • Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and ...

Blend

Data Science Manager

... Data Science Manager. The role involves leading client-facing incrementality testing and ... analytics. Responsibilities : • Lead client-facing incrementality testing and experimentation ...

Discord

Senior Data Scientist, Analytics

San Francisco, CA · On-site +1

$196K - $245K/yr

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games.

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How much do data science analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
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What cities are hiring for Data Science Analytics jobs? Cities with the most Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Data Science Analytics jobs? States with the most job openings for Data Science Analytics jobs include:
What job categories do people searching Data Science Analytics jobs look for? The top searched job categories for Data Science Analytics jobs are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics 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 $113,873 per year, or $54.7 per hour.
Senior Analyst Data Science & Analytics

Senior Analyst Data Science & Analytics

Raytheon

Phoenix, AZ

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

3rd of 528 rated manufacturers

Job description

Date Posted:

2026-07-13

Country:

United States of America

Location:

US-AZ-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon is seeking an experienced Senior Business Intelligence Analyst to join our Digital Technology Data, Analytics, & AI Supplier & Munitions Acceleration Response team. This role allows you to influence organizational standards by researching and deploying technical solutions for customers as part of a broader ecosystem of advanced analytics professionals.

What You Will Do:

  • Partner across multiple functional areas to apply software engineering methods for scalable internal tools and external research needs.
  • Collaborate with stakeholders across Raytheon, RTX, and the Supplier Munitions Acceleration Response team to design and deliver analytics products.
  • Develop agile, data‑driven solutions supporting manufacturing, engineering, business development, and supply chain functions.
  • Research, recommend, and deploy technical solutions that help shape organizational analytics standards.
  • Contribute within a larger community of advanced analytics professionals to enhance best practices and drive continuous improvement.

Qualifications You Must Have:

  • Typically requires a University Degree or equivalent experience and minimum 2 years prior relevant experience, or An Advanced Degree in a related field.
  • Experience with data visualization tools (Power BI, Tableau, Alteryx, or similar).
  • Experience with data and performing transformations.
  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:

  • Experience applying quantitative techniques (normalization, standardization) to cleanse and explore large, complex data sets in preparation for further analysis.
  • Experience in creating repeatable, reusable processes and scalable data products using Scaled Agile Framework methodology.
  • Experience managing projects and meeting with business stakeholders.
  • Experience with using data warehouses (Snowflake, SAP, etc).Knowledge of SQL and Python coding.

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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