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Data Analyst Data Science Jobs (NOW HIRING)

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 ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Galapagos Federal Systems LLC.

Data Analyst

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques * Proven ability to analyze complex datasets and ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Galaxy i Technologies, Inc.

Data Analyst

Austin, TX · On-site

... data visualization and data science skills Sound analytical skills Working knowledge of ServiceNow tool Skills in Snowflake and SQL Skilled in Data Science and use of Gen AI tools Strong ...

New

Elder Research

Data Analyst

Arlington, VA · On-site

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 ...

Guidehouse

Databricks Data Analyst

$113K - $188K/yr

Data Science & Analysis, Data Science Consulting, Data Science Consulting (India) Travel Required: None Clearance Required: None Guidehouse is seeking a Databricks Data Analyst to join our AI & Data ...

Elder Research

Data Analyst

Arlington, VA · On-site

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 ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role ... Have a Bachelor's degree in Computer Science, Math, Statistics, Business, or related field, or ...

Acrisure

Data Analyst, Data Intelligence

Stevens Point, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full ... Have aBachelor's degree in Computer Science, Math,Statistics,Business,orrelatedfield, or equivalent ...

Mayo Clinic

Principal Data Science Analyst

Rochester, MN

  • Medical

  • Dental

  • Vision

  • Retirement

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Smadex

Senior Data Scientist

Austin, TX · On-site

... Science). • Strong problem-solving skills, ability to formulate questions, run analysis to articulate a recommendation. • Proven working knowledge of Python, SQL and large data sets ...

Galapagos Federal Systems LLC.

Data Analyst

Washington, DC

$115K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques * Proven ability to analyze complex datasets and ...

Mayo Clinic

  • Medical

  • Dental

  • Vision

  • Retirement

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

Tatari

Data Science Analyst

New York, NY

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

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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 Aug 19, 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 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 are the key skills and qualifications needed to thrive as a data analyst in data science?

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 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?

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What job categories do people searching Data Analyst Data Science jobs look for?

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Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst/Data Modeler

Programmers.io

Jersey City, NJ • On-site

Full-time

Re-posted 8 days ago

Job description

Job Description:

Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.

Analyze existing data sources to identify data elements, relationships, and inconsistencies.

Design, develop, and maintain canonical data models and schemas, including positions, trades, collateral, and market data.

Ensure data quality, accuracy, and integrity within the data models, implementing data validation rules and monitoring data flows.

Work closely with data architects, developers, and other analysts to implement data models in various technology platforms.

Document data definitions, data lineage, business rules, and technical specifications for the canonical data models.

Perform data analysis and extract insights from large datasets using tools like SQL, Excel, and potentially Python or R.

Create reports, dashboards, and visualizations to support data governance, data quality, and business understanding of securities finance data.

Participate in testing and validation of data models and data transformations.

Qualifications Required

A Bachelor's degree in a relevant field such as Finance, Economics, Computer Science, or Information Systems is required.

Candidates should have at least 3 years of experience in data or financial analysis, preferably within financial services.

A strong understanding of securities finance, including lending, borrowing, and collateral management, is essential.

Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.

Experience with data modeling tools and methodologies, as well as familiarity with database concepts, is also necessary.

Essential soft skills include strong analytical and problem-solving abilities with attention to detail.

Excellent communication skills for explaining complex data, and the ability to collaborate effectively in a team environment.

A proactive and continuous learning mindset is also value.