Data Analyst

Job Type:
IT & Technical
Salary Description:
Competitive Salary Offered
Job Ref:

BettingJobs is seeking a data analyst for a multi-disciplined company and the role will be based in Johannesburg, South Africa. With 15 years of experience, predominantly in international markets, it has become a leading provider in digital marketing content as well as software development expertise and online solutions, seeking to increase brand reputation. With clients in the USA, Europe and the UK, Blue-Ion prides itself in being at the cutting-edge of software technology and on par with market trends.

The role will help discover the information hidden in vast amounts of data and assist in decision making. The successful candidate will turn data into information, information into insights and insights into business decisions.
Duties and Responsibilities:
• Review and validate data integrity, quality and accuracy
• Identify potential process improvements and areas within the business for the BI team to get involved
• Preparing reports and presentations and deriving business insights
• Ad hoc analysis (scenario modelling, impact analysis etc)
• Develop, test, and implement data driven (SQL) reports
• Identify new process improvement opportunities
• Excellent written and verbal skills
• Analyse customer behaviour, market trends and demographics
• Project management skills

Skills and Qualifications:
• Any Microsoft Business Intelligence (MSBI) certification – No negotiations (70-461: Querying Data with Transact-SQL advantageous)
• Bachelor’s degree advantageous
• 5+ years working experience with SQL Server databases and Transact-SQL
• Advanced Excel (Pivot, VLOOKUP, etc.)
• Experience with SSRS
• Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy.
• Database documentation experience
• Experience in building report models with visualisation tools (Power-BI advantageous)
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Machine Learning and Analytics experience advantageous

Contact Details:
Tel: +44 (0) 1355 588 988
Contact: Iona

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