DEP- Data Quality Analyst

This role is for someone who not only exudes enthusiasm, is intellectually curious about our business; but also, is passionate about the value driven from data as well as the need to manage assets critical to our customers and our business. 

Key for your success in this role is your proven experience in Data Quality (DQ), a champion across all data management activities. Technically, you will be sound with experience in Data Visualization (DV), Data Modeling (DM), Data Integration and Interoperability (DI&I), Data Governance (DG), Reference Data Management (RDM), and ontology practices.

The Data Quality Analyst role reports to the DEP Master Data Management & Data Governance Lead (MDM & DG Lead) and works closely with DEP Enterprise Architect, DEP Solution Architect, Process Leads, System Leads, and other entities to ensure cross-functional alignment in driving the data specifications, systems and architecture requirements and many of the key design paradigms, principles and methodologies into DEP.  The position offers ample opportunity to "make a difference" and to be an active part of the decision-making process that leads to improvements and positive changes across the DEP implementation.

Essential Duties:

This role will lead and manage

• • • • our data quality platform (Oracle EDQ), including tool configuration and operating processes,
      • the collection, organization, and promotion of accurate and consistent data (master data, reference data, metadata) throughout the enterprise,
      • and associated integration, operation and health of the underlying systems. 

The key objectives for this role are to:

• Deliver and manage, on behalf of the MDM & DG Lead, our future state DQ platform and operation.
• Participate, with other MDM and DG members in the development of setup and initial operation of MDM and DG platform systems. These activities will include
  • Assist with DQ strategy develpment, process design, high-level DQ architecture requirements, and implementation
  • Champin DQ practices throughout the enterprise by building/maintaining relationships with stakeholders
  • Develp and maintain standards and policies for data quality
  • Define and fine-tune cre processes for DQ and RDM, and establish metrics that will enable the adoption of better data quality practices
  • Gather DQ requirements frm Business Stewards for initial profile/audit of source systems
  • Wrk with Data Modelers to ensure DQ requirements are factored into data model designs
  • Assist, with the design and definitin of ontologies, canonical models and class libraries to identify and fill knowledge gaps
  • Define and develp system and process controls to prevent, detect and resolve data quality issues
  • Defines and develps standard data quality rules and processes for profiling, cleansing, and enrichment
  • Inspect data t ensure it meets quality requirements
  • Prvide data quality advisory services to the organization
  • Measure data quality.  Design, cllect, analyze, and report on data quality assurance and performance metrics.
  • Share data quality inspectin results to build awareness and identify opportunities for improvement
  • Participates in system testing and user acceptance testing activities
  • Evangelize the rle of DQ and Ontologies

• Participate in DEP Global Design to support workshop and requirement needs
  • Develp high-performing domain team members and enhance the MDM and DG team’s effectiveness through coaching, training, and mentoring
  • Supprt onboarding of initial DQ content
  • Prvide onboarding materials to workshop participants

Position Skills  (Indicate key skills and experience to further define the position. Proficiency levels range from lowest to highest: Basic, Intermediate, Advanced and Expert.

Skill Group

Skill

Proficiency Level

Interpersonal Effectiveness & Self-Management

Communicating Effectively

Advanced

Demonstrating Self Sufficiency

Advanced

Managing Meetings

Intermediate

Negotiating & Collaborating

Intermediate

Direction

Planning, Prioritizing & Scheduling Work

Intermediate

Opportunity

Decision-making/Problem-solving

Advanced

Managing Process Improvement

Intermediate