Job Summary

As a Data Analyst you will collect and store data on market research, logistics, linguistics and other behaviors as required. You will be in charge of bringing technical expertise to ensure the quality and accuracy of data will help the business make good decisions.

  • Minimum Qualification: Bachelor
  • Experience Level: Mid level
  • Experience Length: 3 years

Job Description

Duties and Responsibilities
•    Designing and maintaining data systems and databases, this includes fixing coding errors and other data-related problems.
•    Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
•    Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
•    Demonstrating the significance of your work in the context of local, national, and global trends that impact both your organization and industry.
•    Preparing reports for executive leadership that effectively communicate trends, patterns and predictions using relevant data.
•    Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
•    Creating appropriate documentation that allows stakeholders to understand the step of the data analysis processes and duplicate or replicate the analysis if necessary.

Qualification
•    Excellent numerical and analytical skills
•    Bachelor's degree in Mathematics, Economics or related field.
•    Minimum of 3 years work experience.
•    knowledge of data analysis tools.
•    familiarity with other relational databases.
•    knowledge of data modelling, data cleansing, and data enrichment techniques
•    the capacity to develop and document procedures and workflows
•    the ability to carry out data quality control, validation and linkage
•    an understanding of data protection issues
•    experience of statistical methodologies and data analysis techniques
•    the ability to produce clear graphical representations and data visualisations.

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