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Data Analyst W2 Only Jobs (NOW HIRING)

Business Analyst (W2 Only) Location: Vienna, VA / Southfield, MI (Local Candidates Only) Employment ... Strong SQL skills for data analysis and validation. * Excellent verbal and written communication ...

W2 only : At least 8+ years of experience Looking for data analyst with ETL and informatic power center Experience Collect and interpret Data and report the results back to the relevant members of ...

San Francisco, CA Contract: 12+ months $33/h on W2 Only Overall Purpose : Seeking a Business Analyst to assist with Level 3 Production Support. The candidate would work with the Line of Business, the ...

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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.
More about Data Analyst W2 Only jobs
What cities are hiring for Data Analyst W2 Only jobs? Cities with the most Data Analyst W2 Only job openings:
What states have the most Data Analyst W2 Only jobs? States with the most job openings for Data Analyst W2 Only jobs include:
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.

Data Analyst - W2 Contract

IT America

Austin, TX • On-site

Other

Posted 4 days ago


Job description

Role : Data Analyst - W2 Contract

Location: Austin, TX Hybrid 3 days onsite 2 days remote

Need local to Austin, TX only

Duration: 6+ Months

Skills: Data Analyst, ETL, SQL, LoanIQ

Note: Looking for Permanent / Visa Independent Consultants

Job Description:

We are seeking an experienced Data Analyst with a strong background in the banking and financial services domain. The ideal candidate will bring expertise in ETL processes, SQL development, and LoanIQ systems, along with proven experience working on banking data, loan management, and regulatory reporting. This role requires analytical problem-solving skills, attention to detail, and the ability to collaborate across business and technology teams in a hybrid environment.

  • Analyze and interpret large datasets related to loans, credit, and financial transactions.
  • Design, implement, and optimize ETL workflows for banking data integration and transformation.
  • Develop complex queries, stored procedures, and scripts to extract and manipulate financial data.
  • Work with LoanIQ systems to manage loan portfolios, reporting, and reconciliation.