Senior Data Analyst in Cape Town Are you driven by the challenge of transforming complex data into actionable lookout for a Senior Data Analyst to join our dynamic team in Cape Town. If you excel in data analysis, thrive environment, and are passionate about leveraging data to drive business decisions, this could be your career move. Key Responsibilities: Analyze Complex Data: Delve into extensive datasets to uncover trends convey actionable insights. Ensure Data Accuracy: Implement thorough data validation and cleansing procedures
telephone, emails, and online meetings.
Responsibilities:
behavioural sciences to help senior management make data driven decisions.
< Degree in Data Science, Mathematics or Engineering (Minimum)
to perform analysis to translate active business data into usable strategic information to inform the
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Senior Data Analyst in Cape Town Are you driven by the challenge of transforming complex data into actionable lookout for a Senior Data Analyst to join our dynamic team in Cape Town. If you excel in data analysis, thrive environment, and are passionate about leveraging data to drive business decisions, this could be your career move. Key Responsibilities: Analyze Complex Data: Delve into extensive datasets to uncover trends convey actionable insights. Ensure Data Accuracy: Implement thorough data validation and cleansing procedures
collect, process and analyze supply chain related data to provide meaningful information to the organization management processes. • Collecting data from various sources and maintaining data systems • Developing and maintaining maintaining databases • Analysing data using statistical and other appropriate techniques • Identifying interpreting trends in data sets • Improving data integrity through ongoing data cleaning, categorisation Attention to detail, critical thinker and analytical (data driven) • Proactive self-starter B.Eng. (Industrial)
collect, process and analyze supply chain related data to provide meaningful information to the organization management processes. • Collecting data from various sources and maintaining data systems • Developing and maintaining maintaining databases • Analysing data using statistical and other appropriate techniques • Identifying interpreting trends in data sets • Improving data integrity through ongoing data cleaning, categorisation Attention to detail, critical thinker and analytical (data driven) • Proactive self-starter B.Eng. (Industrial)
and Administration (Plant Census & Planting Data)
management make data driven decisions. Qualifications (Minimum) Honours Degree in Data Science, Mathematics Mathematics or Engineering (Minimum) Master's Degree in Data Science, Mathematics or Engineering (Ideal or Preferred) Environment): Extracting and Aggregating Data from Large Relational Databases Data Mining and Predictive Modelling