To oversee the management of data across the Food Group; while ensuring that data is fit for use, in accordance to the Data Management Body of Knowledge (DAMA-DMBOK). The business Data Steward will operate in a cross-functional manner by engaging with technical specialists, business stakeholders and leaders to influence and enhance the use, quality, accessibility and understanding of data across the group. They will also be responsible for implementing data-oriented procedures and standards to ensure alignment and compliance with corporate governance policies and practices.
Job description
Data Governance & Security:
Implementation of procedures, guidelines and standards to ensure alignment and compliance to corporate governance policies, protocols and practices regarding the responsible use and distribution of data
Overseeing data access and ensuring usage policies are understood and approved
Involvement in data integration, migration & data cleansing
Engaging with data custodians and IT architects during data classification exercises
Approval of data-retention and data archiving criteria
Data Quality:
Establishing procedures for the detection, correction and prevention of data-quality issues
Recommending solutions to data challenges and achieving compromises that enhance the use and management of data across the Food group
Collaborating with stakeholders to resolve issues or obstacles affecting the quality of data
Engaging through Centres of Excellence (COEs) and leadership channels to define data quality control mechanisms (establishing KPI's to drive data quality, for example)
Establishing data management monitoring capabilities (incl. dashboards and/or reports) that can be used to monitor, measure and drive better behaviour
Data profiling and validation of data in terms of the expected data quality requirements
Data support during analysis and testing phases (where relevant)
Meta Data & Data Definition Management:
Definition and maintenance of business measure definitions and rules; requiring engagement with stakeholders to agree on common definitions and calculations of analytic and reporting data
Enhancing and maintaining a meta data repository for relevant/critical data elements
Serve as the subject matter expert (SME) for Food to answer metadata requests (access and interpretation) for business metadata
Other Supporting Processes
Project integration for data management assessment and risk (including data quality)
Partner with our learning academy to train elements of data literacy related to understanding data
Work alongside BI analysts and technical specialists to analyse, define, source and model the data required by the Food group for reporting and analytics
Identify and understand gaps related to the availability/accessibility of critical data elements (current and future) and develop strategies to address
Validation of business rule conformance in calculations and data aggregations
Manage any changes to data definitions, usage, access, policies, and administration in compliance with data governance standards and practices across the Food group
Minimum requirements
Technical Competence:
Relevant qualification, i.e. B.Com or equivalent
Strong SQL skills
Advanced Excel
Good understanding of Data Modelling & Data Warehousing concepts
Excellent analytical skills and experience in data analysis
BI Visualization tools (i.e. QlikSense) experience preferable
Ability to work with large data sets and experience with integrating many data sources for reporting and analysis purposes
Strong understanding of and sensitivity towards data integrity and cleanliness
Understanding of processes and the systems development life cycle
3-5 years' experience related to the above requirements
Behavioural:
Ability to think strategically (display foresight)
Ability to work in a cross-functional environment
Curios about data and passionate about the retail industry and applying analytics to enhancing the retail experience
Excellent attention to detail, in terms of numerical data as well as presentation precision and elegance
Ability to thrive in a fast-paced environment and comfortable working collaboratively
Good verbal and written communication skills
Strong business acumen
An analytical approach to problem solving
Good time management and the ability to manage multiple requests/tasks
Planning and organising ability
A strong customer service focus
Passion for the brand and customers
* Making insightful business decisions
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