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Data Analyst Data Science Jobs (NOW HIRING)

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 ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

Required : • 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 ...

Programmers.io

Data Analyst/Data Modeler

Jersey City, NJ · On-site

Analyze existing data sources to identify data elements, relationships, and inconsistencies. Design ... Science, or Information Systems is required. Candidates should have at least 3 years of experience ...

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 ...

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 ...

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 ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

... science languages, such as R and Python * Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL * Experience with statistical analysis and data mining ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience). * Experience: 3-7 years of ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

... science languages, such as R and Python * Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL * Experience with statistical analysis and data mining ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

... science languages, such as R and Python * Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL * Experience with statistical analysis and data mining ...

NuView Analytics

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.

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Data Analyst Data Science information

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

As of Jul 15, 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.

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.

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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 2 days ago

Job description

Job Description: Data Analyst
Remote
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, 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 be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.

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