1

Data Analyst Data Science Jobs (NOW HIRING)

Data Analyst

Honolulu, HI · On-site

$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 ...

Data Analyst

Honolulu, HI · On-site

$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 ...

Data Analyst

Honolulu, HI · On-site

$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 ...

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

Our data analytics advisory services enable our customers to transform data into insights by ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 7-10 years of experience in investment management, financial services, or a data-intensive ...

In this role, you will work alongside data scientists, engineers, and mission stakeholders to analyze data, develop reports, support analytical models, and provide actionable insights that support ...

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the ...

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 7-10 years of experience in investment management, financial services, or a data-intensive ...

next page

Showing results 1-20

Data Analyst Data Science information

See salary details

$34K

$82.6K

$136K

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

As of Jun 25, 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.
More about Data Analyst Data Science jobs
What cities are hiring for Data Analyst Data Science jobs? Cities with the most Data Analyst Data Science job openings:
What states have the most Data Analyst Data Science jobs? States with the most job openings for Data Analyst Data Science jobs include:
Data Analyst

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description


Remote Work:
No
Job Number:
R0238065
Location:
Honolulu,HI,US
Share job via:
Share
Data Analyst
The Opportunity:
As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to empower our clients to understand their data.
As a client-facing data analyst with the U.S. Army, you'll work closely with your clients to understand their data questions and then dig into their data-rich environments and tools to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you'll also advise your client on what the information means by developing decision-making support visualization products and dashboards to help translate data into recommendations. You will use artificial Intelligence (AI) and Machine Learning (ML) to automate the analysis of large amounts of information environment content in real time.
How You'll Contribute:
  • Design and shape data pipelines to analyze the information environment in a streamlined way to provide sentient and stance analysis, trend forecasting, and instant crisis alerts.
  • Research, develop, and test data methodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets.
  • Contribute to impactful work and guide decision-making across multiple organizations.
  • Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
  • Apply data visualization through different formats such as graphs, tables, and maps on various platforms.

Work with us to drive large-scale business and process decisions through data insights.
Join us. The world can't wait.
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 collecting data using various tools and methods including Palantir Foundry or Maven Smart Systems
  • Experience with AI, ML, data management, and data visualization
  • Experience with quantitative data analysis, performance measures, data cleansing, metrics analysis, and applied research
  • Experience leveraging various programs to facilitate process automation while maintaining data integrity
  • Ability to translate complex and technical findings into an easily understood narrative in graphical, verbal, or written formats for non-technical audiences or executive leadership
  • Ability to execute projects and tasks with minimal guidance and supervision
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Data Science

Nice If You Have:
  • Experience working with data in Department of War Information Environments
  • Experience in data engineering and programming languages such as R, Python, or SQL
  • Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater
  • Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
  • Experience analyzing data in the Indo Pacific theater of operations
  • Possession of excellent verbal and written communication skills
  • Master's degree in Data Science

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914