Data Analyst

KEY RESPONSIBILITY AREAS:

• Liaise with the Departments of the Loss Reduction Division to understand customer accounts issues and devise solutions.
• Gather, cleanse and analyze customer data from the various data sources, for example, Customer Information System (CIS) and Juice for information and insights.
• Compile reports to present to the Departments of the Customer Services Division to help with work assignments and decision-making.
• Communicate information and insights derived from the analysis to the Departments of the Loss Reduction Division.
• Update databases with new or adjusted data
• Analyze training and development needs of staff
• Develop on the job training plans for staff.
• Recommend external training programs for staff
• Ensure that the work area is orderly and clean.
• Maintain discipline of staff in keeping with the Disciplinary Policy/Procedure.
• Conduct performance review and appraisal with Direct Reports.
• Perform other duties that may be assigned to you within the scope of your employment, from an Authorized Officer.

COMPETENCY PROFILE:

• Proficient in Data Analysis tools and techniques
• Proficient with Data Presentation tools and techniques
• Knowledge of Database development and management
• Knowledge of Customer Information Systems (CIS)
• Knowledge of numerical and statistical analysis
• Supervisory Skills

Required Qualifications and Experience

• Bachelor’s Degree preferably in Mathematics/Statistics/Computer Science/Economics/Analytics/Business/engineering or BS/BA with combination thereof and related analytic work experience/and or relevant certifications.
• Two (2) years of work experience in data analysis or other related analytical projects.
• Experience working with databases including Oracle, SQL Server, Customer Information System (Customer Information System) TUNet.
• Strong Proficiency in query/reporting tools, SQL, Advanced Excel, Tableau (or similar visualization tool).
• Experience working with very large data sets (on relational as well as non-relational data stores).