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Data Analist Jobs (NOW HIRING)

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

PitchBook Data

Data Analyst

New York, NY · On-site

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

NuView Analytics

Data Analyst

Denver, CO · Remote

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.

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Data Analyst Job Location: Remote Interview: Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data ...

Sun-IT Solutions

Data Analyst

Charlotte, NC · Hybrid

Data Analyst Location: Charlotte, NC (Onsite/Hybrid as per client requirement) Experience Required: 12+ Years Employment Type: W2 Only Visa Status: U.S. Citizens, s, GC-EAD, TN, -EAD, USC-EAD. . No ...

USM

Data Analyst

Washington, DC

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

TLA-LLC

Data Analyst

Mclean, VA

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in ...

Prophecy Technologies

Data Analyst

Jersey City, NJ · On-site

We are seeking an experienced Data Analyst to join our team. The ideal candidate will have strong expertise in data analysis, SQL, and data warehousing, with a focus on commercial lending systems ...

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How much do data analist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data analist 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 does a Data Analyst typically collaborate with other departments to support business objectives?

Data Analysts frequently work alongside teams in marketing, finance, product development, and operations to translate data insights into actionable business strategies. This often involves regular meetings to discuss reporting needs, sharing findings through dashboards or presentations, and helping stakeholders interpret complex data trends. Strong communication skills are essential, as Data Analysts must explain technical concepts in a way that non-technical colleagues can understand. Collaborative projects can be both challenging and rewarding, providing opportunities to influence key business decisions and develop a deeper understanding of the organization's operations.

What is the difference between Data Analist vs Data Scientist?

AspectData AnalistData Scientist
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel or SQLBachelor's or higher in Computer Science, Statistics, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, data visualizationResearch, predictive modeling, advanced analytics
Employer & Industry UsageFinance, healthcare, retail, marketingTech companies, finance, research institutions
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsExploring advanced analytics, data modeling, and machine learning

While Data Analists focus on interpreting data, creating reports, and visualizations for business decisions, Data Scientists delve into complex data modeling, predictive analytics, and machine learning. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and educational background.

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 skills in statistical analysis, data visualization, and proficiency with data querying languages like SQL, typically supported by a degree in mathematics, statistics, or a related field. Familiarity with analytical tools such as Excel, Python, R, and business intelligence platforms like Tableau or Power BI is commonly required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These skills enable Data Analysts to drive informed decision-making and add significant value to organizations through accurate, data-driven recommendations.

What is a Data Analyst?

A Data Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. They use statistical techniques and software tools to analyze data sets, identify trends, and generate reports. Data Analysts often collaborate with other departments to translate data insights into actionable business strategies. Their work helps companies optimize operations, improve customer experiences, and achieve their goals.
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Data Analist jobs near you
Data Analyst

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

Data Ideology 
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com  
Data Analyst
Job Type: Full-Time, 6-Month Fixed-Term (Renewable)
This is a full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed.

We are seeking a Data Analyst to join our growing team. In this role, you will combine business and technical expertise to support a cloud data warehouse migration, partnering with cross-functional teams to analyze data, define requirements, and deliver scalable data solutions.
Key Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

  • Analyze source systems and data warehouse structures to support transformation into new data products, including performing gap analysis and identifying data requirements
  • Write and execute SQL queries to explore, validate, and interpret data across systems with limited documentation
  • Translate complex data logic into clear insights for both technical and non-technical stakeholders, including identifying edge cases and validating business rules
  • Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible
  • Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues
  • Contribute to proof-of-concepts, test case development, and scalable validation approaches for complex datasets
  • Partner with cross-functional teams to prioritize work, present findings, and support data storytelling through reports, visualizations, and diagrams
  • Document data mappings, definitions, and standard processes to support ongoing development and maintenance
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor’s degree in Computer Science, a related field, or equivalent experience
  • 2+ years of experience writing SQL queries and/or stored procedures, with the ability to work independently on data exploration
  • 3+ years of experience performing data analysis within a data warehouse environment (e.g., Oracle, SQL Server, Snowflake)
  • Experience working with cloud-based data platforms (e.g., Snowflake, Azure SQL) preferred
  • Experience querying and analyzing semi-structured or non-relational data (e.g., JSON) preferred
  • Familiarity with Agile development methodologies
  • Healthcare industry experience a plus
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Benefits: Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer
 

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