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Data Analysis Data Analyst Jobs (NOW HIRING)

Additional relevant experience may be substituted for a degree consistent with contract requirements. • Minimum 2 years of relevant experience in data analysis, business intelligence, reporting ...

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Perform data exploitation, aggregation, and analysis across multiple datasets to support mission requirements and intelligence-driven objectives. * Apply analytic tradecraft, structured analytic ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Perform data exploitation, aggregation, and analysis across multiple datasets to support mission requirements and intelligence-driven objectives. * Apply analytic tradecraft, structured analytic ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Perform data exploitation, aggregation, and analysis across multiple datasets to support mission requirements and intelligence-driven objectives. * Apply analytic tradecraft, structured analytic ...

In addition, the group provides custom research and data analysis support to subscribing clients. PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ...

Lead development and execution of advanced data analysis and analytical methodologies to support mission and enterprise use cases. * Analyze large, complex datasets to identify trends, patterns ...

Conduct root cause analysis and data quality investigations to resolve data discrepancies. . Support data migration, modernization, and cloud transformation initiatives. . Monitor and manage batch ...

Data Analysis is the art of collecting and analyzing data so that FEP can use said data to address gaps in operational capabilities and support analytics and reporting projects. The Senior Data ...

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

New

This role combines SQL analysis, basic Python-based data exploration, and dashboard and report development to transform raw data into meaningful information. Key Responsibilities * Investigate and ...

This role combines SQL analysis, basic Python-based data exploration, and dashboard and report development to transform raw data into meaningful information. Key Responsibilities * Investigate and ...

Perform ad-hoc analysis, data validation, and statistical exploration to support decision-making. * Document data sources, definitions, and business logic for transparency and reusability. Required ...

Data Analysis & SQL Development * Write, optimize, and maintain SQL queries for reporting and analysis * Collect, clean, and analyze structured and unstructured data * Perform data validation ...

This position is expected to assess and promote data-driven decision-making analysis that will improve City operations and outcomes for Mesa residents and visitors. The Senior Data Analyst is ...

New

Data Mapping, Data Analysis * Data Governance, Data Architecture, Data Glossary * Experience with manufacturing / plant / industrial data (highly preferred) * Strong consultative skills : stakeholder ...

Statistical Analysis: Proficiency in statistical methods and techniques. * SQL: Knowledge of Structured Query Language for database management. * Data Visualization Tools: Experience with tools like ...

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Data Analysis Data Analyst information

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$34K

$82.6K

$136K

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 Analyst

9th Way Insignia

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at https://9thwayinsignia.com/.

Application password: Niner

9th Way Insignia is seeking a Data Analyst to support a government customer in Washington, DC. The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 professional level within 9th Way Insignia's career families and is expected to operate as a technically strong contributor who can work with limited direction in a production environment.

Professional Level Information

An Engineer, 2 has a good understanding of the software development life cycle and can take on work without much direction majority of the time. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of complex problems. An Engineer, 2 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information

The Data Analyst is responsible for analyzing complex datasets, identifying trends, gaps, anomalies, and structural risks, and translating business needs into structured data logic that supports reporting, analytics, automation, and operational decision-making. This role serves as a key bridge between business stakeholders and technical delivery teams by helping validate requirements, assess data integrity, and ensure business rules are correctly understood and implemented. The Data Analyst supports enterprise priorities across multiple business lines and contributes directly to more predictable, higher-quality delivery outcomes.

The Data Analyst is expected to work closely with ETL Developers, Power BI Developers, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to refine requirements, analyze data sources, validate outputs, and identify corrective actions before deployment. The role also contributes to ROM development, work breakdown understanding, documentation of risks and dependencies, and improved planning visibility to support governance and decision-making.

Responsibilities

• Be available on Government site in Washington, DC during normal hours of operation.
• Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
• Assess new and existing data sources to determine data availability, quality, completeness, and suitability for business and technical use.
• Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes.
• Translate ambiguous business needs into structured data logic, requirements clarifications, and analysis products that support technical implementation.
• Work closely with ETL developers, reporting developers, and other team members to identify data issues and provide corrective guidance.
• Support backlog refinement, requirements elaboration, sprint planning, sprint demonstrations, and incremental delivery in an agile environment.
• Perform data validation, reconciliation, and quality checks on outputs supporting dashboards, reports, ad hoc queries, and automated processes.
• Help document assumptions, risks, dependencies, and potential efficiencies to support ROM development, governance discussions, and planning inputs.
• Develop and maintain analysis artifacts, data definitions, validation documentation, and supporting operational documentation as part of normal delivery activities.
• Support multiple business lines and enterprise priorities as required.
• Other responsibilities as assigned.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline. Additional relevant experience may be substituted for a degree consistent with contract requirements.
• Minimum 2 years of relevant experience in data analysis, business intelligence, reporting analysis, data validation, or related technical delivery roles. Additional 8 years of experience in lieu of degree.
• Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, and structural issues.
• Experience validating business rules, data quality, and integrity in support of production reporting, analytics, or operational solutions.
• Experience translating business requirements into structured data logic, analysis findings, and actionable guidance for developers and stakeholders.
• Experience working with SQL, relational data structures, and data extraction or analysis tools used in enterprise environments.
• Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
• Experience preparing analysis artifacts, validation documentation, data definitions, or other technical and functional documentation.
• Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
• Must be authorized to work for any employer in the U.S.
• Must be able to obtain and maintain the required security clearance.

Preferred/Desired

• Experience supporting federal government customers in enterprise data warehouse, analytics, reporting, or decision-support environments.
• Experience supporting business intelligence and dashboarding solutions such as Power BI.
• Experience working closely with ETL, reporting, and application development teams in governed production environments.
• Experience contributing to ROM development, effort estimation inputs, and documentation of risks, dependencies, and alternatives.
• Experience working in environments emphasizing process maturity, repeatability, documentation, and disciplined work tracking.
• Current Public Trust or ability to obtain a Public Trust clearance quickly.
Salary Range
$96,414—$115,000 USD

9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Clearance/Background Investigation
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Benefits
Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance.

Legal
We're an equal employment opportunity employer that empowers our people to fearlessly drive change – no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.