Data Quality Analyst

Job Description:We are seeking a contract data analyst to support complex data quality, coverage, andcross-source comparison work across multiple enterprise datasets. This role will focus onevaluating data consistency, identifying gaps and mismatches across systems, andhelping translate business rules into reliable facts from imperfect source data. The idealcandidate is strong in SQL and data analysis, comfortable working through ambiguity,curious about learning the business domain, and proactive about engaging domain expertswhen needed to validate assumptions or findings.Key ResponsibilitiesPerform data quality, coverage, and comparison analysis across multiple internal data sourcesAssess consistency, completeness, and reliability of identifiers and cross-system relationshipsAnalyze ambiguous or conflicting source records and help determine fit for business use casesApply and refine business rules to derive usable facts from noisy, incomplete, or inconsistent dataCompare new datasets against existing sources to identify strengths, weaknesses, and coverage tradeoffsSupport exploratory analysis in Databricks and contribute to basic ETL-oriented data investigation workflowsProduce clear analysis, recommendations, and validation findings for business and technical stakeholdersPartner with domain experts and reach out when needed to validate uncertain outputs or business interpretationsDocument assumptions, logic, data issues, and decision frameworks in a structured wayRequired Skills and ExperienceStrong SQL skills and experience analyzing large, messy enterprise datasetsExperience with data quality assessment, data profiling, and reconciliation across multiple systemsHands-on experience with DatabricksWorking knowledge of basic ETL concepts and data flow validationAbility to work with ambiguous source data and infer reliable patterns using business logicFamiliarity with graph-style representations of complex data models or ontologiesStrong analytical thinking with attention to detail and comfort investigating edge casesCuriosity about learning unfamiliar business domains quicklyWillingness to chase clarity by engaging with domain experts directly rather than making unsupported assumptionsAbility to communicate findings clearly to both business and technical audiencesPreferred QualificationsExperience working with enterprise data domains such as ERP, HR, CRM, or BillingExperience using Python, notebooks, or BI tools for exploratory analysis and reportingExperience documenting business rules, exceptions, and source-system behavior in a structured wayExposure to enterprise platform data is a plus What Success Looks LikeClear assessment of data quality and coverage across key source datasetsActionable recommendations on which data sources and mappings are fit for operational useImproved confidence in derived facts across inconsistent enterprise dataWell-documented findings, business rules, and validation methodology