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Data Analyst W2 Only Jobs (NOW HIRING)

Azure Architect - W2 Only

Manhattan, NY · On-site

$70 - $91.25/hr

New York, NY W2 Only Team Overview The team is a progressive, global technology organization laser ... Experience working with large-scale or distributed data systems. Strong analytical, problem-solving ...

W2 Only Duration : 6+ Months Location : Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and ...

New

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 ...

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

Snowflake Data Analyst

Detroit, MI · On-site

$45 - $55/hr

THIS IS A W2 CONTRACT POSITION W2 CANIDATES APPLYING DIRECTLY (NO STAFFING/3RD PARTY) CANDIDATES ... When you work at OpTech, not only do you get health and dental benefits, but you also have training ...

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Data Analyst W2 Only information

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$34K

$82.6K

$136K

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

As of Jun 25, 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), and why are they important?

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 June 2026, with employment types broken down into 4% As Needed, 32% Full Time, 52% Part Time, and 12% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst -- Jira Data Normalization / Migration Analysis

Goldenpick Technologies

Plano, TX • On-site

Contractor

Posted 9 days ago


Job description

Data Analyst — Jira Data Normalization / Migration Analysis
 
(W2 or C2C)
 
 
Project description
We are seeking a Data Analyst to support the analysis, profiling, normalization, deduplication, and validation of Jira data from multiple source repositories. This role will work closely with ETL developers, Jira administrators, QA testers, and business stakeholders to define source-to-target mappings, identify data quality issues, validate transformation logic, and ensure the migrated Jira data is accurate, complete, and usable in the new Jira configuration.
 
Responsibilities
  • Analyze Jira data from multiple source repositories to understand structure, quality, completeness, and inconsistencies.
  • Profile source data across Jira projects, issues, users, workflows, statuses, custom fields, labels, components, comments, attachments, and history.
  • Document source-to-target mappings for migration into the new Jira configuration.
  • Identify duplicate records across repositories and help define deduplication rules.
  • Support business rule definition for data normalization, field standardization, naming conventions, project mapping, and user mapping.
  • Work with stakeholders to clarify data ownership, field usage, transformation rules, and reporting requirements.
  • Validate archived Jira data in Snowflake for reporting continuity.
  • Create data quality reports, exception reports, reconciliation reports, and migration readiness dashboards.
  • Support user acceptance testing by preparing validation scenarios and sample datasets.
  • Partner with QA testers to define test cases and expected results.
  • Review migration outputs and compare source versus target data for completeness and accuracy.
  • Assist with cutover planning, dry-run analysis, and post-migration validation.
  • Source data profiling reports.
  • Source-to-target mapping documents.
  • Data normalization rules.
  • Deduplication rule documentation.
  • Data quality issue logs.
  • Migration reconciliation reports.
  • Snowflake archival validation reports.
  • UAT support documentation.
  • Business validation sign-off support.
 
Skills Must have
  • Strong data analysis experience, preferably in migration, consolidation, or data quality initiatives.
  • Strong SQL skills for querying, profiling, reconciliation, and validation.
  • Experience analyzing structured and semi-structured data.
  • Ability to create clear source-to-target mapping documents.
  • Experience with data quality dimensions such as completeness, uniqueness, consistency, validity, and referential integrity.
  • Strong understanding of deduplication, matching logic, exception handling, and reconciliation.
  • Ability to translate business requirements into data rules and validation criteria.
  • Strong documentation and stakeholder communication skills.