Job Vacancy For Business Data Analyst



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Job Vacancy For Business Data Analyst





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3. Carefully follow the instructions on how to apply.

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Our client who is focussing on improving farmer and community livelihoods, is seeking a Business Data Analyst for their office in Ghana. This person will develop analysis and reporting capabilities. He will also monitor performance and quality control plans to identify improvements in purchases, interpretation of data and validate reconciliation to purchases.

The data analyst is a highly trained professional who performs the analysis, running various mathematical calculations to determine how the data samples might best be applied to profit the business. Most importantly, the data analyst evaluates risk; culling statistical information to determine whether a company is accidentally harming itself or in line with business strategy and goal.

Tasks and responsibilities

- Acquire data from all Functions within the company
- Maintain databases/data systems
- Use technical expertise to cull data through advanced computerized models and extrapolate data patterns.
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Liaise with all functions mangers to capture data, Interpret data, analyze results using statistical techniques and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Validate reconciliation to purpose using appropriate data analytics 

Requirements 

- Bachelor’s degree in Statistics or Computer Science or Information Management.
- Minimum 5 years of experience in management, maintenance and engineering
- Preferably in a food manufacturing environment
- Proven working experience as a data analyst or business data analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings

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