Data Quality Analyst

Job#: 3053533
Job Description:
Data Quality Analyst
Duration: 6-12+ months
Location: Pasadena, California - Hybrid (3 days onsite, 2 Remote)
Role Summary
We are seeking a contract data analyst to support complex data quality, coverage, and cross-source comparison work across multiple enterprise datasets. This role will focus on evaluating data consistency, identifying gaps and mismatches across systems, and helping translate business rules into reliable facts from imperfect source data. The ideal candidate is strong in SQL and data analysis, comfortable working through ambiguity, curious about learning the business domain, and proactive about engaging domain experts when needed to validate assumptions or findings.
Required Skills and Experience
Strong SQL skills and experience analyzing large, messy enterprise datasets
Experience with data quality assessment, data profiling, and reconciliation across
multiple systems
Hands-on experience with Databricks
Working knowledge of basic ETL concepts and data flow validation
Ability to work with ambiguous source data and infer reliable patterns using
business logic
Familiarity with graph-style representations of complex data models or ontologies
Strong analytical thinking with attention to detail and comfort investigating edge
cases
Curiosity about learning unfamiliar business domains quickly
Willingness to chase clarity by engaging with domain experts directly rather than
making unsupported assumptions
Ability to communicate findings clearly to both business and technical audiences
Preferred Qualifications
Experience working with enterprise data domains such as ERP, HR, CRM, or Billing
Experience using Python, notebooks, or BI tools for exploratory analysis and
reporting
Experience documenting business rules, exceptions, and source-system behavior
in a structured way
Exposure to enterprise platform data is a plus
Key Responsibilities
Perform data quality, coverage, and comparison analysis across multiple internal
data sources
Assess consistency, completeness, and reliability of identifiers and cross-system
relationships
Analyze ambiguous or conflicting source records and help determine fit for
business use cases
Apply and refine business rules to derive usable facts from noisy, incomplete, or
inconsistent data
Compare new datasets against existing sources to identify strengths, weaknesses,
and coverage tradeoffs
Support exploratory analysis in Databricks and contribute to basic ETL-oriented
data investigation workflows
Produce clear analysis, recommendations, and validation findings for business and
technical stakeholders
Partner with domain experts and reach out when needed to validate uncertain
outputs or business interpretations
Document assumptions, logic, data issues, and decision frameworks in a
structured way
What Success Looks Like
Clear assessment of data quality and coverage across key source datasets
Actionable recommendations on which sources and mappings are fit for operational use
Improved confidence in derived facts across inconsistent enterprise data

• Well-documented findings, business rules, and validation methodology

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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