Analytics Analyst - Sandton, South Africa - Experian
Description
Company DescriptionExperian's a leading Analytics Enterprise
We're passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society.
Our 17k amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow
To do this we employ the greatest and brightest minds that share our purpose and want to make a difference.
What's your next professional and personal goal? Let Experian help bring this to life
Job Description:
Data Analysis & Model Development
- Ensure Experian procedures and processes are followed throughout the analytics solutions delivery process.
- Specify data extraction and manipulation routines for complex/nonstandard projects providing guidance to other Analysts where necessary.
- Carry out the extraction, formulation and manipulation of data to create the structured samples necessary to address business requirements
- Ensure that all critical business issues are identified through data analysis.
- Interpret and supervise the interpretation of analysis results.
- Implement appropriate quality control procedures for all modeling and analysis reporting and scoring.
- Reduce error rate & rerun frequency. Meet both the analytical & business objective.
- Produce the best quality models that can be produced within the given project timeline.
- Analyze and confirm the integrity of source data to be evaluated.
- Participate in auditing models and results for accuracy.
- Perform audits to support the implementation of statistical models and other decision tools.
- Follow best practice procedures and processes throughout the analytics solution delivery process
Managing Client Relationships
- Support other departments/divisions within Experian in managing the client, ensuring that client commitments are understood and met as part of the project.
- Provide clear, concise and accurate information relating to the project.
- Responsible for prompt resolution of both internal and external queries and questions.
- Throughout the project recognize and maximize opportunities to support the sales process.
- Engage in a consultative way with the client, to identify problems and define and deliver solutions.
- Present to clients to ensure they understand the functionality and benefits of DA products in solving business problems.
Problem Solving & Innovation
- Decide upon the steps that must be taken to investigate/correct problems.
- Challenge existing processes and recommend product enhancements.
- Review standards (e.g. process flows/methodology/documentation) on a regular basis and recommend improvements.
- Continual improvement of own and team skills by reviewing and testing new techniques.
Teamwork
- Ensure effective communication of project issues.
- Foster team spirit and mutual cooperation.
Pre-Sales and Sales Support
- When required attend client meetings in order to support the sales process.
- Support the sales process, by providing expert analytics solutions knowledge and demonstrations to clients.
- Able to present in front of clients and prospect Experian Analytics Solutions
- Participate in bid reviews.
- Provide support to the sales force for client queries related to analytics solutions.
- Provide support to the sales force for preparation of sales documentation, proposals, sales materials, participation in tenders, etc. related to analytics solutions projects.
- Feedback opportunities for chargeable work and analytics sales to line manager.
Personal Development
- Own and action Personal Development Plan.
- Seek feedback as part of the feedback process.
- Maintain awareness of latest regulatory, methodological, analytical, business, industry and market developments.
- Participate in industry events, conferences and seminars.
- Shared targets with line manager/Analytics Consultants/Global Consultants to transfer knowledge.
Qualifications:
- Degree or equivalent standard, with a high mathematical content e.g. Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences.
- Significant experience of statistical / analytics project work.
- SAS, Python, ML
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