Data Analyst at Old Mutual

Job Description

The role will be responsible for extracting and supporting data requests and analysis as well as requests for implementation activities from the Customer CoE team & Business Units. 

The outcome is to enable the business to solve for working with large volumes of data in diverse formats, enabling innovative solutions.

• This role is individually accountable, performing data extraction, manipulation and descriptive/ exploratory data analysis.
• Ingesting large, complex data sets that meet functional and non-functional requirements.
• Extracts data from various internal and external sources for Business units and team.
• Extracts campaigns based on the agreed criteria via requests from Segment and different Business units.
• Codes, tests and implements query programs.
• Conduct in depth analyses & statistical requirements
• Interpret data, provide insights & support for strategy and collaboration.
• Translates complex data and/or instructions into meaningful outcomes.
• Analyse and provides recommendations on data findings
• Provides ongoing support to the team to ensure the successful adoption and troubleshooting of the solutions developed
• Analyses data to support business requirements
• Liaises with data delivery teams
• Identify new business opportunities via statistical and data analysis
• Personal effectiveness 
• Accepts and lives the company values.
• Accountable for service delivery through own efforts.
• Collaborates effectively with others to achieve personal results.
• Individually accountable for managing own time, tasks and output quality.
• Makes increased contributions by broadening individual skills

Minimum Requirements :

• Matric
• IT/Statistical related diploma or degree 
• SQL + SAS knowledge & experience is essential
• 3+ years knowledge & experience in a data environment.
• Proficient in excel (advanced excel is advantageous)
• Additional requirements: preferred not required
• Experience in working in the Agile methodology.
• Agile certification/training preferred.

Competencies :

• Decision Making
• Information Monitoring
• Ownership
• Planning & Organising
• Team Orientation
• Technical Knowledge