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Data Analyst Data Science Jobs (NOW HIRING)

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Data Analyst PotomacWave is looking for a Data Analyst to join our team supporting a Federal client ... Contribute to the data science community by proposing data-driven quality projects and process ...

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 ...

SynergisticIT

Junior Data Analyst

Arizona City, AZ · On-site

... data analysts/data scientists, data engineers, machine learning engineers for full time positions ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

ConnectedX Inc

Data Analyst / Scientist

Plano, TX · On-site

Looking for a Data Analyst cum Scientist - Data Storyteller kind of person. Location: Plano, TX. ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in ... Contribute to the data science community by proposing data-driven quality projects and process ...

Purple Drive Technologies

Data Analyst

New York, NY · On-site

Data Analyst Location: New York, NY Skills Required * At least 3 years of experience in Money ... Strong in Neo4j Cypher queries, Graph Data Science Data Ingestion * Should be able to review and ...

NuView

Data Analyst

Denver, CO · On-site +1

$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.

Samprasoft

Data Engineer/ Data Analyst

Charlotte, NC · On-site

Sr. Data Analyst/ Data Engineer Requirement: * Make recommendations based on the data and information sourced * Ability to navigate through data discrepancies * Understands next steps in the data ...

Restaurant Depot

Data Analyst

Whitestone, NY · On-site

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

PotomacWave

Data Analyst

Washington, DC · On-site

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in ... Contribute to the data science community by proposing data-driven quality projects and process ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

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 ...

Kiva Design

Data Analyst

Cincinnati, OH

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

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Data Analyst Data Science information

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$34K

$82.6K

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

As of Jun 4, 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.

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.

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 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.

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.

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:
What job categories do people searching Data Analyst Data Science jobs look for? The top searched job categories for Data Analyst Data Science jobs are:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

PotomacWave Consulting

Washington, DC • On-site

$85K - $115K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role assists in the development and implementation of data analysis techniques and data visualizations to support complex analytic challenges, with a focus on improving data understanding and contributing to data-driven decision-making.

Responsibilities
  • Process structured and unstructured datasets to support the development and operationalization of data models, analytic tools, and applications that inform decision-making.
  • Apply basic data collection, mining, and pattern recognition techniques to assist in developing actionable intelligence.
  • Work with analysts to understand data requirements and assist in creating data visualizations and reports.
  • Contribute to increasing data awareness and demonstrating the value of data analysis within the office.
  • Stay informed about technology standards, industry trends, and data analysis best practices.
  • Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends.
  • Assist in the evaluation of training opportunities and provide basic recommendations.
  • Support the creation of clear and concise data visualizations for internal and external communication, aiding in the understanding of complex data.
  • Follow established steps to make data-driven decisions, contributing to improvements in readership, feedback, and throughput.
  • Contribute to the data science community by proposing data-driven quality projects and process improvements.
  • Collaborate with cross-functional teams to document requirements, leverage existing capabilities, and deliver products to customers.
  • Apply foundational mathematical and statistical concepts, programming skills, and clear communication to uncover insights.
  • Assist in reviewing mission needs to evaluate policy and program effectiveness.
  • Participate in enterprise-wide data science projects, learning and applying innovative approaches.
Qualifications
  • A bachelor's degree in the following areas of discipline: computer science, information science, statistics, economics, mathematics OR a professional certificate of training directly related to data analysis or data science.
  • A minimum of three (3) years of experience in data analysis field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $85,000 - $115,000

Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

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