Sr Data Quality Advisor

Intel-posted about 1 year ago
$116,819 - $175,333/Yr
Full-time • Mid Level
Hybrid • Carson City, NV
Computer and Electronic Product Manufacturing
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The Sr. Data Quality Advisor plays a crucial role in enhancing business decision-making by leveraging data quality and analysis tools. This position focuses on deep data analysis to improve business data quality measurements and involves collaboration between business and technical teams to ensure effective data governance and quality control.

  • Utilize data analysis tools techniques to support business decision-making and improve business data quality performance.
  • Act as a technical liaison between business and technical teams, gathering and decomposing business quality controls and data requirements into control specifications and technical requirements.
  • Evaluate master and transaction data systems (e.g., MDM, SAP, Azure) for data quality gap analysis and risk assessments, and monitor data quality performance.
  • Support data cleansing and conversion data extractions, quality profiling and rules definition. Run data profiling reports to support cleansing and root cause analysis for data remediation.
  • Apply deep expertise in mathematical and statistical analysis across teams and projects, working closely with business data steward and DQ developer teams to implement data quality solutions.
  • Facilitate the development of business data quality capabilities for reporting, supporting business groups and dashboards generation.
  • Develop and establish DQ standards, guidelines, procedures, and reference guides.
  • Define AI DQ plan and enablement of AI data quality controls identification and production readiness.
  • Bachelor's Degree with 6+ years of experience, or Master's Degree with 4+ years of experience, or PHD with 2+ years of experience in data science, data analytics, data engineering, or related field (computer science, information management, math, statistics).
  • 4 years of experience in Data Quality and Metadata Tools, hands-on experience with capabilities to extract data for profiling reporting.
  • 3+ years of experience capturing data quality control definitions.
  • Experience in data governance, business dashboard design & measurements definitions, data quality, Six Sigma, and root cause analysis.
  • Experience in consultant business engagement.
  • Data governance execution.
  • Value proposition creation.
  • Data Sprint execution.
  • Competitive pay
  • Stock options
  • Bonuses
  • Health benefits
  • Retirement plans
  • Vacation time
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