Data Analyst at DirectAxis

Job description

Data analysis management and planning, to optimise business growth, profitability and customer experience. To generate sufficient applications of the right quality to meet production objectives.

Requirements

• BCom or BSc degree with finance / maths / statistics background or Postgrad degree with finance / maths / statistics
• 2 -3 years - Data analyst in the financial industry or similar industry
• 2-3years - MIS Experience, SQL , Advanced excel skills
• 2-3years - Applying mathematics/formulas to real-world problems

Duties and responsibilites

• Creates solutions to meet customer demands
• Reviews, improves and implements customer service solutions in line with company policies, shared values and Treating Customers Fairly (TCF) outcomes.
• Communicates how the customer service solution will be implemented and secures buy-in.
• Builds customer trust and loyalty.
• Resolves customer dissatisfaction/complaints and takes ownership of the problem.
• Ensures customer excellence through interaction with internal and external customers throughout all business activities
• Adheres to the Organisation's shared values, service standards and Treating Customer Fairly (TCF) outcomes with regard to customer interaction.
• Resolves customer dissatisfaction/complaints and takes ownership of the problem.
• Ensures that product knowledge and advice is technically accurate.
• Knows and understands customer needs in order to deliver a quality service.
• Plans for and maintains a sound working relationship with stakeholders.
• Ensures continuous process improvement to enable effective operational processes
• Implements business processes according to benchmarks and the Shared Values.
• Reviews and reports on the performance of business processes.
• Analyses the internal service delivery processes and comes up with innovative ideas and/or participates in working groups to improve and streamline processes, increase revenue, drive efficiencies and minimise redundancy and waste.
• Monitors and controls the quality of business processes in terms of defined standards
• Mines, queries and analyses data sets
• Queries, cleans and mines large data sets, connecting data from disparate sources to identify insights and patterns.
• Conducts statistical analysis, such as linear and logistic regression, time-series analysis, and classification models and delivers accurate and high quality analysis (e.g. NPV modelling, test design and analysis, risk modelling).
• Applies company, group and relevant industry knowledge to analysis and insights.
• Develops improved methodologies and methods for accessing, analysing and presenting data: researches new data sources and analytical tools with the aim of improving the process and underlying data analysis.
• Ensures the quality of data is accurately measured, tracked and reported on and that the appropriate level of documentation is kept according to prescribed requirements.
• Focus on ensuring quality application targets are delivered
• Past performance by campaign, by month including variance reporting and trends
• Segmentation & Campaign workflows
• Sizing of opportunities including future forecasting
• ROI optimisation including segmentation, frequency
• Understanding and explaining variances
• Responsible to apply future forecasting at a channel level and distribution of applications
• Manage risks relating to data analysis processes
• Document management
• Version control, change sizing & reporting
• Performs statistical analysis to inform business decisions
• Sources, extracts, collates, cleans and redesigns relevant data.
• Analyses, interprets and transforms raw data into meaningful and useful information.
• Produces management information and business summaries to enable more effective strategic, tactical, and operational insights and decision-making.
• Ensures that process conforms to business objectives and complies with Group and various regulatory parameters.
• Conducts trend analysis
• Conducts and report trend analysis for area of responsibility to identify process breakdowns in terms of operational risk.
• Response & risk band optimisation
• Challenge Risk strategies to maximise yield on Customer selections
• Motivate alternatives to improve yield
• Reporting and presenting of data analysis relating to campaign performance
• Participates in planned activities that are appropriate for own development
• Identifies effective activities to address own development gaps.
• Creates own development plan and reviews plan with manager.
• Understands which competencies and skills should be mastered to ensure personal development and performance.
• Demonstrates a commitment to continuous personal improvement in line with the Shared Value of Ownership.
• Promotes teamwork amongst peers and team members
• Contributes to team success by ensuring team commitment and cohesion.
• Values individual contributions while encouraging partnering and collaboration to achieve team results so that "Collaboration" is lived and demonstrated.
• Shares information and knowledge to achieve team goals.
• Respects diversity and encourages an environment that values inclusivity.

"In line with our employment equity plan, suitably qualified African Black candidates who meet the criteria for the role will be given preference"