FreshRemote.Work

Sr Data Quality Advisor

Virtual - USA AZ

Job Details:

Job Description: 

The Sr. Data Quality Advisor will enable the enterprise to make better business decisions by leveraging data quality and analysis tools and techniques such as data discovery/exploration, ad hoc database queries, scripting, mathematics, and statistics. This role involves deep diving into the data to draw conclusions from business data to describe, predict, and improve business data quality measurements.   

In this role, your responsibilities will include:  

  • 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.

Qualifications:

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:  

  • 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

This position is not eligible for Intel immigration sponsorship.

Preferred Qualifications:

  • 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

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

Business group:

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:  https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in the US:

$116,819.00-$175,333.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

The application window for this job posting is expected to end by 12/27/2024 Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Not eligible for immigration sponsorship Not eligible for Intel Immigration Not eligible for Intel Immigration sponsorship Virtual - USA AZ

Benefits/Perks

Bonuses Competitive pay Retirement Stock Total compensation package Vacation

Tasks
  • Data Analysis
  • Define ai dq plan
  • Develop dq standards
  • Development
  • Evaluate data systems
  • Management
  • Monitor data quality
  • Reporting
  • Run profiling reports
  • Support business decision-making
Skills

Ad-hoc queries AI Analytics Applications Architecture Azure Computer Science Data analysis Data & Analytics Database Data cleansing Data Discovery Data engineering Data Governance Data Profiling Data Quality Enterprise Applications Information Management Management Mathematical Mathematics Quality Root Cause Analysis SAP Scripting Six Sigma Statistical analysis Statistics

Experience

6 years

Education

AS Bachelor's Business Commerce Computer Science Engineering Information Management Information Technology Master Master's Mathematics Ph.D. Related Field Science Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9