IT Operations Data Analyst - Bellville at Sanlam

What will you do?
To coordinate and enable importing, cleaning, transforming, validating or modelling data with the purpose of understanding or making conclusions from the data for decision making purposes. To present data in graphs, charts and tables for business insight and consumption.

What will make you successful in this role?

• Source relevant data from multiple internal and external sources for the facilitation of business data support and business decision making.
• Filter and clean data, influence upstream data loading processes, identify data anomalies and inconsistencies as a holistic goal to achieve high levels of data quality.
• Interpret data, analyse results using statistical techniques and provide ongoing reports.
• Have a deep insight into data, use of data and attention to detail in ensuring data quality and qualitative use and presentation of the data.
• Develop and implement data collection systems and other strategies that optimise statistical efficiency and data quality.
• Develop dashboards, data presentations, and perform analytical insight on a regular basis to support the business 
• Identify, analyse, and interpret trends or patterns in complex data sets.
• Have a clear understanding of business objectives and use this as insight for information development, by engaging with multiple business teams.

Qualification and Experience

• Graduate, BSc in Mathematics, Economics, Computer Science, Information Management or Statistics
• Proven working experience as a data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, R, etc.)
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Knowledge and Skills

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, R, etc.)
• Ability to understand and explain data
• Excellent written and verbal communication skills
• Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy

Behavioural Competencies

• Keen listening, understanding and high grasping skills
• Self-driven and goal oriented
• Driving & Co-ordination skills
• Good inter & intra personal skills
• Strong attention to detail