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Data Analysis Data Analyst Jobs (NOW HIRING)

Infinitive Inc

Business/Data Analyst

Mclean, VA · On-site

Data Risk Analysis: Analyze data access, entitlements, and usage patterns to proactively identify security and compliance risks and areas requiring remediation. * Audit & Compliance Support: Provide ...

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Infinitive Inc

Business/Data Analyst

Mclean, VA · On-site

Data Risk Analysis: Analyze data access, entitlements, and usage patterns to proactively identify security and compliance risks and areas requiring remediation. * Audit & Compliance Support: Provide ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Judit Inc

Data Analyst

Plano, TX

Business Analysis * Tableau * SQL Schedule : Fully onsite 9am-5pm Skills and Qualifications ... Technical expertise regarding data models, database design development, data mining and ...

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One Tech

Data Analyst

Minneapolis, MN · On-site

$130K - $138K/yr

The Data Analyst will respond to discovery requests from multiple state commissions by extracting, validating, and analyzing data related to customer accounts, credit inquiries, billing, and usage.

Softthink Solutions Inc

Data Analyst

New Orleans, LA

The selected candidate will provide data analysis, records management, reporting, documentation, and project coordination support to ensure effective program operations. This role requires strong ...

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VIVA USA INC

Data Analyst

Chicago, IL · On-site +1

$39.43 - $44.43/hr

... analysis of data definitions, meaning, usage, labelling standards and other source system information to produce IT consumable information Data analyst often takes on other additional roles. For one ...

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Data Analysis Data Analyst information

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

As of Jun 7, 2026, the average yearly pay for data analysis data analyst 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 is the difference between Data Analysis Data Analyst vs Data Scientist?

AspectData Analysis Data AnalystData Scientist
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQLBachelor's or Master's in Data Science, Statistics, or related fields, certifications in Python, R
Work EnvironmentBusiness settings, offices, data teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageCorporate, finance, healthcare, retailTech, finance, research, startups
Common Search & ComparisonYesYes

Data Analysis Data Analysts focus on interpreting data, creating reports, and supporting decision-making using tools like Excel and SQL. Data Scientists have a broader scope, including building predictive models and advanced analytics with programming languages like Python or R. While both roles analyze data, Data Scientists typically require more advanced technical skills and education. Understanding these differences helps employers and job seekers find the right fit for their skills and needs.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, R, and data visualization platforms like Tableau or Power BI, as well as certifications in analytics, are commonly expected. Attention to detail, effective communication, and problem-solving abilities set standout analysts apart. These skills enable Data Analysts to extract actionable insights from complex datasets, driving informed business decisions and organizational success.

What are data analysts?

Data analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They use statistical techniques and software tools to interpret data, identify trends, and present actionable insights. Data analysts often work with large datasets, create reports, and visualize findings to support business strategies. Their work is crucial in industries ranging from finance and healthcare to marketing and technology.

What are some typical challenges data analysts face when working with large datasets, and how can they overcome them?

Data analysts often encounter challenges such as data quality issues, inconsistent formats, and missing values when working with large datasets. To overcome these, analysts use tools and techniques like data cleaning, validation checks, and scripting in languages such as Python or R. Collaborating closely with data engineers and subject matter experts can help ensure data accuracy and relevance. Staying organized and documenting processes is also essential for managing complex projects and facilitating teamwork.
What cities are hiring for Data Analysis Data Analyst jobs? Cities with the most Data Analysis Data Analyst job openings:
What states have the most Data Analysis Data Analyst jobs? States with the most job openings for Data Analysis Data Analyst jobs include:
Data Analysis Data Analyst jobs near you

Business/Data Analyst

Infinitive Inc

Mclean, VA • On-site

Full-time

Posted 2 days ago

Job description

*Candidates must be local to the Washington D.C. metro area and possess work authorization which does not require sponsorship by the employer for a visa.
About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

We are seeking an analytical and detail-oriented Business/Data Analyst to join our team, focusing specifically on data access governance, permissible use, and risk remediation. This role is critical in ensuring our data usage practices comply with both internal policies and external regulatory requirements, providing essential analytical support for major audits, and helping to shape the future of our data governance strategy.


 Key Responsibilities

The successful candidate will perform functions that bridge data analysis, risk management, and compliance:

  • Data Risk Analysis: Analyze data access, entitlements, and usage patterns to proactively identify security and compliance risks and areas requiring remediation.

  • Audit & Compliance Support: Provide comprehensive support, data analysis, and documentation/materials throughout the Permissible Purpose Audit and other compliance reviews.

  • Governance Design: Assist in designing and documenting new controls, monitoring approaches, and foundational data usage governance processes.

  • Use Case Mapping: Map internal datasets to specific business use cases to clearly clarify and define permissible versus impermissible data usage scenarios.

  • Reporting & Communication: Produce clear, structured summaries, visuals (dashboards, charts), and actionable recommendations for audit teams and leadership.

  • Strategic Roadmapping: Provide crucial analytical input into the Permissible Use Capability Roadmap and identify existing capability gaps in our data environment.


 Required Experience & Skills

  • 3–6+ years of experience in business analysis, data analysis, data governance, or risk-related roles.

  • Proven ability to explore, interpret, and manipulate large datasets using tools like SQL, Python, and data visualization platforms (e.g., Quicksight/Tableau).

  • Demonstrated ability to create comprehensive technical and process documentation, including detailed process flows, control descriptions, technical diagrams, and structured write-ups.

  • Ability to structure and tackle ambiguous analytical problems, define clear methodologies, and communicate complex findings clearly and concisely.

  • Comfortable working independently while collaborating closely with a senior program lead and cross-functional stakeholders across technology, legal, and business lines.
  • Experience leveraging AI tools (Gemini, Claude, ChatGPT) 

 Preferred Qualifications 

  • Previous exposure to identity/access governance (IAG) or experience managing data in highly regulated environments.

  • Experience in financial services, data governance, or compliance-adjacent roles.

  • Familiarity with control design principles, formal risk identification methodologies, or direct experience supporting external/internal audits.

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