Data Quality Analyst

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

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., 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

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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