Data and Analytics Manager

2 weeks ago


Cape Town, Western Cape, South Africa Ackermans Full time

KEY RESPONSIBILITIES:

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Enablement of Self-Help Data Analytics: Establish processes, technology, tools, skills, and knowledge for data management and consumption.
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Strategic Analytics Services:Define complex business questions, develop appropriate analytics models, and identify relevant data sources for analysis.
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Engagements: Form meaningful partnerships with business stakeholders to extract maximum value from data and analytics tools.
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Central Analytical Services: Ensure congruence of information in daily, weekly, and monthly reports and dashboards published across the business.
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Commercialization of Data:Support Business Units with robust data science capabilities to drive business value through advanced data, mathematical, and statistical models.
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Team Leadership and Training: Lead and train a team of analysts.
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Protection of Personal Information:Ensure compliance with POPIA for customers, employees, and suppliers.

QUALIFICATIONS:

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 / Operations Analysis / Operations Research

EXPERIENCE:

  • At least 10 years' working experience as a Data Analytics, Data Management or Data Insights position within the retail industry.
  • Proven and successful experience in execution of data analytics initiatives.
  • Setting up data architecture and design.
  • Leading large analytical teams.
  • Building and leading quantitative analyses.
- working with a wide range of data to deliver and deploy descriptive, predictive, and prescriptive models.

KNOWLEDGE & SKILLS:

Technical

  • Proficient in data analysis tools (e.g. SQL, Python, R)
  • Knowledge of cloud infrastructures for analytics.
  • Experience in data visualization tools (e.g. Power BI)
  • Knowledge of data warehousing for analytics.
  • Problem solving using advanced analytics techniques.
  • Highly proficient in working with data technologies.
  • Experience in predictive modelling and predictive modelling way of thinking.
Strategic

  • 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.
  • Innovation mindset: Encourage facilitate a culture of innovation and continuous improvement.
  • Scalability
Collaboration

  • 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.
Soft skills

  • Resilience and ability to work under immense pressure
  • Ability to communicate complicated technical concepts to nontechnical stakeholders
  • Building strong relationships with data stake holders and business stake holders
  • Critical thinking
  • Adaptability
Team Lead

  • Motivational leader
  • Team building
  • Project management skills resource management, planning, prioritization and execution
  • Change management


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