General Motor

General Motor

GBS Transformation Data Quality Analyst

Description

Position Overview:

The Data Quality Analyst will be responsible for examining quality of large and complex data sets and provide guidance and support to resolve data quality problems and execute quality assurance processes for Identity & Access Management and HR applications in partnership with IT and the business process owners and data stewards. The analyst will execute regular data quality checks, support SOX, Supplier and other Audits and act as the liaison to remediate data errors and documentation of data quality efforts.

Core Job Responsibilities include:

Technical Development:

  • Collaborate with the business, Master Data COE, IT, and other Data Transformation Analysts to determine the data relevant requirements for our operational systems as well as our MDM and data governance tools
  • Support the build out of these system and tools to manage data, including: build export files, perform data validations, create design requirements/documents, develop workflows, craft user stories, and perform UAT testing, etc.
  • Data Quality:

  • Identify, analyze, assess, fix, document, and communicate potential quality issues in the way data is collected, stored, processed, or used. This will require being the liaison between the Business Functions and IT counterparts to resolve data quality problems using techniques such as root cause analysis as well as collecting user requirements.
  • Fixing the data problems will require the Data Quality Analyst to have the storytelling skills to report data analysis findings to recommend/drive business decisions and prioritize information system needs, design and fix code errors

  • Execute Weekly Identity & Access Management, SOX, Supplier Audits: Activities include: Review quality of data entry, loads, transformations, extractions, merges, or other production jobs. This may also include communication with data suppliers, and/or database developers to improve systems and database designs

  • Measure data quality: Activities include: Data analysis and preparation of reports and dashboards to leadership using Analytics tools such as Power BI, KNIME, etc. to communicate trends, patterns, and predictive analytics

  • Manage data quality documentation: Activities include: Define and maintain data standards, definitions, and models (e.g. data dictionary, organizational data model, etc.) This may also include any Data Quality Analyst documents such as checklists, guidelines, manuals, templates, forms, etc.

  • Provide data quality services to the organization: Activities include: Participate in cross-functional teams and development task forces on project basis. Assist other groups in database setup, design of edit checks, test plans, Data Quality policy decisions, etc. to ensure data quality objectives are met.

  • Key Elements and Focus Areas:

  • Communication – Ability to effectively communicate at various levels of the organization tailored appropriately to the audience
  • Understanding – Ability to determine root cause of issues/goals and translate from business language to technical language
  • Collaboration - Candidate should demonstrate effective collaboration skills up, down and across the organization
  • Data – Understanding of Master Data Management and Data Governance including metadata hierarchies, attribute definitions, and common use.
  • Improvement - Mindset that challenges business partners to improve processes and use data in new ways, consistent with data principles
  • Qualifications, Skills & Knowledge:

  • A Bachelor's degree in Computer Science, Information Systems, Statistics, Finance, Business, Mathematics, or a relevant experience
  • Demonstrated ability to lead all phases of system development technology life cycle, including requirements definition, design, development, conversion, and testing
  • Technical knowledge of core data management components such as: data modeling, data profiling, source to target mapping lineage, business glossaries, data dictionaries, data quality and governance frameworks
  • Strong client / customer service skills and ability to listen and action the voice of the customer
  • Maintain effectiveness in continually evolving or ambiguous environment
  • Ability to be a change agent, using influence, education, and persuasion to build relationships and gain support for difficult changes
  • Ability to rethink existing processes and design a future state aligned with a newly envisioned operating model
  • Demonstrated ability to work cross functionally in a collaborative, inclusive manner
  • Experience leveraging Operational Excellence, Lean, Design Thinking or other structured methodologies to solve complex problems
  • Advanced Excel skills including vlookups, pivot tables, if / then statements, concatenation, nested functions, and formulas. Ability to create other logic formulas with ease.
  • Proficient in using Structured Query Language (SQL) developer and JavaScript is a requirement
  • Excellent abilities in python, KNIME, Power BI and process mining tools
  • Knowledge of best practices in data analysis
  • Complex problem solving and analytical abilities
  • Ability to validate, analyze, and identify anomalies for large complex populations of data and relational databases
  • Additional Description

    Important: This is for night shift.

    About GM

    Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

    Why Join Us

    We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

    Total Rewards Benefits Overview

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    Diversity Information

    General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

    We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

    Equal Employment Opportunity Statements

    The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

    Job details

    Title

    GBS Transformation Data Quality Analyst

    Employer

    General Motor

    Location

    United States

    Published

    June 11, 2024

    Application deadline

    September 14, 2023

    Job type

    Senior

    Field

    Engineering

    About the employer

    We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Our diverse team of 164,000 employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

    Together, we want to make electric vehicles for everyone and safely push transportation beyond our wildest imaginations with autonomous vehicles and advance hydrogen fuel cell technology. We are proud of our achievements so far, but there is more work to be done. Together, for everyone.

     

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