Advanced Analytics

BigTalent; Cape Town; Vor Ort; ZAR 420.000 - 720.000; Vollzeit

Benefits dieser Stelle

Leadership development

Growth culture

Diverse project exposure

Big data initiatives

Data quality focus

Zusammenfassung

BigTalent is seeking an Analyst focused on advanced analytics to drive profitability across 1000+ stores in our fast-moving retail network. You will contribute to innovative analytics projects and help shape the future of data science in retail.

Ideal candidates have a BSc in Engineering or Computer Science and 3–5 years in data analytics, with retail or FMCG experience considered highly advantageous. Join a vibrant culture that values growth, learning, and impact.

Qualifikationen

• Degree in Engineering or Computer Science or related field.
• 3-5 years of experience in data analytics including advanced analytics.
• Retail or FMCG experience is advantageous.

Aufgaben

• Analyse profitability across 1000+ stores to drive data-driven decisions.
• Contribute to a variety of innovative projects shaping data analytics in retail.

Kenntnisse

Data analytics

Advanced analytics

Ausbildung

BSc degree in Engineering or Computer Science

Jobbeschreibung

A leading retail brand with a vibrant culture is looking to hire a talented Analyst, focused on advanced analytics. Our priority role at the moment is focused on profitability analysis of over 1000 stores in our chain. The successful candidate will becontributing to a variety of innovative projects and shape the future of data analytics andscience in the retail sector!

Requirements

• BSc degree in Engineering; Computer Science or similar
  
• 3 - 5 years' experience in data analytics and advanced analytics
• Retail or FMCG experience is highly advantageous

What the opportunity offers

• Exceptional leadership, learn and grow with a highly experienced senior data scientist
• Company culture that fosters growth and learning
• Exciting project exposure in a variety of fields including credit, supply chain, retail and distribution
• Big data! (but also not too big!)
• Clean data! (cleaner than yours! ;))