Enterprise Data and Analytics Manager (Retail & BI)

Location: Cape Town

Ref: LRP20024

Type: Permanent

Industry: Professional

A large African retail chain is seeking to employ an experienced Enterprise Data and Analytics Manager to join their Cape Town based team. The main objective of this newly created role will be to lead strategic initiative to become an insights driven organization through data and information management, operational business analytics and data science to extract maximum business value from its data assets.

Experience and Skills

  • At least 10 years’ working experience as in a Data Analytics, Data Management or Data Insights position within the retail industry
  • Proven and successful experience in execution of data analytics initiatives
  • Experience in setting up data architecture and design
  • Experience in leading large analytical teams
  • Experience in building and leading quantitative analyses
  • Building business insights, response and risk models for a business
  • Experience working with a wide range of data to deliver descriptive, predictive and prescriptive models
  • Senior Data Analyst in a fast paced and complex business setting
  • Strong business / commercial acumen
  • Deep understanding of a retail environment
  • Strategic thinking - Be a thought leader in the data and analytics space as an enabler to drive execution of strategy
  • Excellent Communication - Interact on all levels/with numerous departments’ personnel and departmental heads / executive management
  • Good presentation skills and ability to simplify complex scenarios
  • Data and information management
  • Reporting Visualization
  • Problem solving using advanced analytics techniques
  • Highly proficient in workings of data technologies
  • Work under pressure (remain calm and composed)
  • Make strong, lasting and meaningful connections with others
  • Strong data analysis skills
  • Advanced analytical techniques and tools
  • Data lifecycle management
  • Sound understanding of Big Data Analytics platforms and tools

Qualification

  • Essential - Tertiary Degree in mathematics / statistics / information technology or related discipline
  • Preferred - Honours Degree in Data Science/Computer Science/Information Systems / Statistics/Applied Mathematics /Business Administration / Economics

Objectives

Enablement of Self-Help Data Analytics

  • Establish processes, technology, tools, skills and knowledge for data management.
  • Enable end to end view of organizational data and information (single source).
  • Establish and execute data governance principles across the business.
  • Lead strategy and execution of data collection, data warehousing and data models.
  • Deliver a data literacy manual and training programme for all data users and commence with training.
  • Establish an organizational data dictionary (common language and measurements)
  • Align all measure calculations across the business.
  • Optimize self-help data analytics landscape

Strategic Analytics Services (Predictive Analytics)

  • Define the complex business questions needing solutions and define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
  • Deliver actionable insights that drive successful execution of business strategy.
  • Identify risks and potential risk mitigation tactics.
  • Deliver predictive models that significantly impact business performance or reduces financial risk
  • Deliver a cost-effective alternative solution for basket analytics / test and learn

Engagement

  • Form meaningful partnerships with business stakeholders to extract maximum value from the data and analytics tools.
  • Works closely with data and insights champions in each function in execution of departmental goals and strategies.
  • Work with internal and external service providers in defining the data collection/storage needs of the business for the purpose of consuming and also for guaranteeing that there is high data-quality and reliability across the business
  • Establish data analytics forum with data champions

Central Reporting Services

  • Develop and implement analytical presentation standards and best practices to optimise the use and understanding of data and information sources.
  • Ensure congruence of information in the various daily, weekly and monthly reports and dashboards that are published across the business.
  • Ensure central BI reports have standardized data quality throughout the organization.

Commercialization of Data

  • Support Business Units with strong data science capability that can drive business value by implementing advanced data, mathematical and statistical models.
  • Enable data enrichment from other sources and ensure due consideration is taken when insights are extracted.
  • Provide support to increase the adoption of automated and embedded decision solutions.
  • Partner with SBU’s to deliver new insights driven value creation decisions by providing advanced analytics modelling.

Protection of Personal Information

  • Ensure compliance with regards to POPIA for customers, employees and suppliers.

SALARY - R70 to R120k/month, plus incentives. Negotiable and based on experience.

 

HOW TO APPLY:

  • Ensure you meet all the requirements.
  • Complete all the requested information below.
  • Remember to attach your CV.
  • Once your application has been made, you will receive a generic e-mail to confirm the receipt of your application.
  • Only short-listed candidates will be contacted.
  • Should you not be contacted by a consultant within 2 weeks, please consider your application as unsuccessful.