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Data Analyst W2 Only Jobs (NOW HIRING)

Pioneer Data Systems, Inc

NJ

Data Analyst (Master Data / MS Excel) Duration: 04+ Months Location: PISCATAWAY,NJ. Description ... Additional Information Need only on W2 no C2C

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

Eliassen Group

Data Analyst

Almont, CO · On-site

$60 - $70/hr

As the Data Analyst you will play a critical part in architecting and delivering data models ... For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision ...

Eliassen Group

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision ... Experience Requirements: * 5-10 years of experience in data engineering or analytics. * Strong ...

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How much do data analyst w2 only jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst w2 only 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 a data analyst w2 only?

A Data Analyst W2 Only is a data analyst who is hired as a W2 employee, meaning they are on the company’s payroll and the employer withholds taxes and provides benefits. Unlike contractors or 1099 workers, W2 employees typically receive benefits such as health insurance, paid time off, and retirement plans. The 'W2 Only' designation usually indicates that the hiring company is not looking for independent contractors or third-party agencies, but wants to hire professionals directly as employees for tasks such as data collection, analysis, and reporting.

What are the key skills and qualifications needed to thrive as a data analyst w2 only?

To thrive as a Data Analyst (W2 Only), you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Expertise in tools like SQL, Excel, Python or R, and data visualization platforms such as Tableau or Power BI is commonly required, along with familiarity with data management systems. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for accurately interpreting data, providing actionable insights, and supporting business decision-making.

What are some common challenges data analysts on W2 contracts face when working with cross-functional teams?

Data Analysts on W2 contracts often collaborate with departments such as marketing, product development, and finance. One common challenge is translating complex data findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning on project priorities and timelines can be tricky, as different teams may have competing objectives. Building strong communication skills and establishing clear expectations early on can help overcome these challenges and ensure successful project outcomes.
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Data Analyst W2 Only jobs near you
Infographic showing various Data Analyst W2 Only job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

MDM Data Quality Analyst- W2

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • On-site

Full-time

Posted 10 days ago

Job description

We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
 
 Key Responsibilities
·        Developing and maintaining complex SQL queries to support MDM solutions.
·        Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
·        Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
·        Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
·        Participating in unit, integration, and system testing
·        Performing data profiling and quality review and analysis
·        Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews
·        Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
·        Participating in project discussions to document and recommend alternative technical solutions or requirements.
 
·        Perform data quality assessments and document findings, recommendations, and remediation opportunities.
·        Analyze data anomalies, matching issues, and client/member record quality concerns.
·        Support data governance and data stewardship activities.
·        Assist users during User Acceptance Testing (UAT) and production validation.
 
 Required Qualifications
·        5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
·        Experience working with MDM platforms such as Informatica MDM.
·        Experience gathering and documenting business and technical requirements.
·        Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
·        Experience supporting QA, UAT, or system testing activities.
·        SQL experience, with large MDM and large relational DBMS.
·        Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
·        Strong analytical, problem-solving, and data validation skills.
·        Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
 
·        Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
 Preferred Qualifications
·        Experience working in other MDM tools including Cloud-native MDM solutions.
·        Experience working in State Government, public sector, or regulated environments.
·        Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
·        Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
·        Exposure to Python scripting for automation, testing, data validation, or profiling activities.
·        Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
·        Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
·        Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
·        Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
·        Ability to operate in a telecommute environment and matrix organization with minimal direction.