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Staff Data Steward

Location
Bentonville, Arkansas
Job Type
Permanent
Posted
7 Sep 2022
Position Summary...

What you'll do...

Data Source Identification

Requires knowledge of:

Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success.

To support the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.

Data Governance

Requires knowledge of:

Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies.

To establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.

Tech. Problem Formulation

Requires knowledge of:

Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights.

To translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.

Data Quality Management

Requires knowledge of:

Data quality management techniques and standards; Business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation.

To promote and educate others on data quality awareness. Profiles, analyzes, and assesses data quality. Tests and validates data quality requirements. Continuously measures and monitors data quality. Delivers against data quality service level agreements. Manages operational Data Quality Management procedures. Manages data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determines user accessibility and removes or restricts user access as needed. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines.

Understanding Business Context

Requires knowledge of:

Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas.

To provide recommendations to business stakeholders to solve complex business issues. Develops business cases s for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work.

Master Data and Metadata Management

Requires knowledge of:

Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, warehousing, and relational databases; Data value chains (for example, identification, ingestion, processing, storage, analysis, and utilization); Master data, golden records, data hierarchies, and connections to transactional data; Business, technical, process, and operational metadata architecture, standards, definitions, and repositories; Regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation; Master data management applications, database management systems, data and process modeling tools, relational database tools, data profiling tools, and data integration tools; Master data, golden records, data hierarchies, and connections to transactional data; Business, technical, process, and operational metadata architecture, standards, definitions, and repositories; Regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation.

To understand business domain master integration and meta data requirements. Implements master data management solutions and manage metadata environment. Manages and maintains metadata standards and data rules. Manages and maintains "golden" records. Leads changes and revisions to master data, metadata, and data hierarchies and affiliations within given guidelines. Implements integration of new data sources and metadata. Replicates and distributes master data. Distributes and delivers metadata. Queries, reports, and analyzes metadata. Educates others on master data and metadata management processes, practices, policies, and guidelines.

Data Strategy

Requires knowledge of:

Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.

To understand, articulate, interpret, and apply the principles of the defined strategy to unique, moderately complex business problems that may span one or more functions or domains.

Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.

Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness.

Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.

Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.

Live our Values
Culture Champion
Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmarts commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Embrace Change
Curiosity & Courage
Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Deliver for the Customer
Customer Focus
Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.
Strategic Thinking
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the teams strategy.
Focus on our Associates
Diversity, Equity & Inclusion
Identifies, attracts..... click apply for full job details
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Details

  • Job Reference: 706390197-2
  • Date Posted: 7 September 2022
  • Recruiter: Walmart
  • Location: Bentonville, Arkansas
  • Salary: On Application
  • Sector: Banking & Financial Services
  • Job Type: Permanent