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Data Analyst 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 ...

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 ...

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 ...

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

$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.

ShiftCode Analytics

Data Analyst

Chicago, IL · On-site

Data Analyst We are seeking a highly motivated and skilled Data Analyst to join our dynamic team. If you are passionate about data, proficient in Python and SQL, and have experience working with ...

Loopback Analytics

Data Analyst

Dallas, TX · Remote

The Analysts role will be to inquire about the nature of the question being asked, distill the question into relevant data elements to represent, the visualization and delivery format, and ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Job Summary LP Analyst is seeking a detail-oriented and technically motivated Data Analyst to join ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Job Summary LP Analyst is seeking a detail-oriented and technically motivated Data Analyst to join ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · Hybrid

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$2.3K - $3.2K/yr

Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data Analyst Data ...

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 ...

Analytic Services Inc

Data Analyst

Alexandria, VA

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 ...

AaraTechnologies Inc

DATA ANALYST

Virginia Beach, VA · On-site

Data Analyst Banking (1 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

Apex Informatics

Data Analyst

Chicago, IL · On-site

To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical ...

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 ...

AaraTechnologies Inc

DATA ANALYST

Georgiana, AL · On-site

Data Analyst Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

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DATA Analyst information

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$34K

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How much do data analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for 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 Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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 relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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DATA Analyst jobs near you
Data Analyst

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 16 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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