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Revenue Assurance and Data Specialist

2 weeks ago

Cape Town, South Africa IntelliStaff Full time

**Location: Cape town**

**Requirements and skills**:

- ** Relevant tertiary diploma or degree in Statistics, Computer Science, Data Science, BCom IT, Engineering**:

- ** Post Graduate relevant Data Science qualification will be an added advantage.**:

- ** Experience with GIS data handing, representation and mapping tools would be and added advantage.**:

- ** At least 3 to 5 years industry experience**

***
- **Strong mathematical skills to help collect, measure, organize and analyse data**:

- ** Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python**:

- ** Technical proficiency in database design development, data models, techniques for data mining, and segmentation.**:

- ** Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases, Microsoft Power BI etc**:

- ** Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysing.**:

- ** Adept at using data processing platforms like Hadoop and Apache Spark**:

- ** Knowledge of data visualization software like Tableau, Qlik**:

- ** Problem-solving skills**:

- ** Accuracy and attention to detail**:

- ** Adept at queries, writing reports, and making presentations.**:

- ** Team-working skills**:

- ** Verbal and Written communication skills**:

- ** Proven working experience in data analysis.**

***

**Duties and Responsibilities**:

- ** Using automated tools to extract data from primary and secondary sources**:

- ** Removing corrupted data and fixing coding errors and related problems**:

- ** Developing and maintaining databases, and data systems reorganizing data in a readable format**:

- ** Performing analysis to assess the quality and meaning of data**:

- ** Filter Data by reviewing reports and performance indicators to identify and correct discrepancies.**:

- ** Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.**:

- ** Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.**:

- ** Analysing local, national, and global trends that impact both the organization and the industry**:

- ** Preparing reports for the management stating trends, patterns, and predictions using relevant data**:

- ** Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.**:

- ** Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.