Senior Data Analytics Specialist Experience dependant

Röhlig-Grindrod (PTY) LTD

Gauteng

On-site

ZAR 700,000 - 1,000,000

Full time

14 days+

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Job summary

Röhlig-Grindrod (PTY) LTD in Johannesburg is seeking a Senior Data Analytics Specialist for the IT Department. You will drive data analysis strategy, gather and analyze data, ensure data integrity, partner with business units and manage analytics projects.

The role requires 3–5 years of analytics experience, strong BI (Power BI, Tableau) and SQL skills, and experience with predictive modeling and ML (Azure ML). Knowledge of logistics/ FMCG domains is a plus.

Qualifications

  • 3–5 years of data analytics experience, preferably in a large company.
  • Strong proficiency in Power BI, Tableau and SQL.
  • Experience building predictive models and exposure to ML (Azure ML).
  • Ability to translate data insights into written analysis and visuals.

Responsibilities

  • Data Analysis Strategy.
  • Data gathering and analysis.
  • Data integrity.
  • Business partnering.
  • Project management.

Skills

Power BI
Tableau
SQL
Predictive modeling
Machine Learning
Excel

Education

Bachelor's/Master's in Statistics/Math/CS
Distribution
Transport & Logistics
FMCG & Supply Management

Tools

MS Azure ML
Microsoft Excel

Job description

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A strategic, solution-driven Senior Data Analytics Specialist is required for our IT Department in JHB Head Office.

Duties & Responsibilities
  • Data Analysis Strategy
  • Data gathering and analysis
  • Data integrity
  • Business partnering
  • Project management
Desired Experience & Qualification

Experience 

  • 3-5 years of data analytics experience, preferably in a large company
  • Financial Analysis and deep understanding of data extraction and manipulation of data techniques.
  • Proficient in Power BI, Tableau and SQL.
  • Proficiency with building predictive models in a suitable programming language, as well as proficiency with Microsoft applications. Exposure to Machine Learning programs (ie. MS Azure ML)
  • Highly skilled at simplifying complex data into simple written analysis including the use of visual representations of data outputs.
  • Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve for defined business problems.

Qualification

  • Bachelor's or Master's degree in a related field such as Statistics, Mathematics, Computer Science
  • Distribution, Transport & Logistics
  • FMCG & Supply Management
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