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  • Posted: Mar 20, 2020
    Deadline: Not specified
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    Experian unlocks the power of data to create opportunities for consumers, businesses and society.During lifes big moments from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers we empower consumers and our clients to manage data with confidence so they can maximize every opportun...
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    Scoring Analyst

    About the Role:
    This role is responsible for carrying out descriptive and predictive analysis to develop analytical solutions which benefits to our clients and their customers. The role holder is able to carry out analysis independently.


    Principle responsibilities

    • Carry out the extraction, formulation and manipulation of data to create the structured samples necessary to address business requirements.
    • Interpret and, where appropriate, supervise others in the interpretation of analysis results.
    • Ensure quality and accuracy of own work and the work of any Data Modellers on the project.
    • Follow best practice procedures and processes throughout the analytics solution delivery process.
    • Implement appropriate quality control procedures for all modeling and analysis reporting and scoring.
    • Reduce error rate & re-run frequency. To 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 analytical solutions and other decision tools.
    • Be organized, well-document the project by using set-up templates or versions thereof & meet project deadlines
    • Collaborate with internal and external clients to determine the appropriate performance measures and statistical metrics to be applied during the analysis project
    • Collaborate with internal and external clients to provide project support
    • Generate reports following quality control procedures to document analysis and model findings
    • Coordinate data receipt and delivery with internal and external clients
    • Foresee potential issues or questions and take preventive actions
    • Plan, organise and complete own workload and supervise, where appropriate, the workload of any Junior Data Modellers on the project, to meet project commitments within agreed schedules.
    • Follow documented procedures, including production of project documentation.
    • Contribute to the preparation of regular project status reports to both internal and external parties.
    • Proactively identify potential risks in achieving project timescales, taking proactive action to minimise risk.
    • Produce and implement project plans for analytical processes
    • Produce statistical models and perform quantitative analyses to assess business alternatives
    • Promptly upload information and document to the relevant knowledge sharing site
    • Support at least one Data Modeller, ensuring their quality of work and schedule of tasks
    • Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work.
    • Together with the Consultant take part in client reviews and delivery meetings.
    • Communicate effectively with other team members to enable them to manage client expectations.
    • When required attend client meetings in order to support the sales process.
    • Support the sales process through strong analytics solutions knowledge.
    • 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 analytics sales and chargeable work to line manager or Team Leader.
    • Challenge existing processes and put forward innovative solutions.
    • Identify how the results can be verified and produce the analysis required to demonstrate this.
    • Share findings with peers from other teams and management where required.
    • Communicate ideas in knowledge sharing forums.
    • Actively seek to share knowledge within the team.
    • Mentor Junior Data Modellers in the use of methodologies, processes and software providing explanations of business requirement specifications to facilitate understanding of the clients’ objectives.
    • Participate in induction training of new Data Modellers.
    • In consultation with line manager, maintain and action agreed personal development plan.
    • Seek and provide feedback as part of the feedback process.
    • Improve skills by reviewing and testing new techniques.
    • Maintain awareness of latest business and market developments.
    • Actively seek to develop competency/knowledge of both analytical methodologies and analytical software.


    Required critical behaviours

    •    Accuracy/Attention to Detail
    •    Analytical Thinking
    •    Business Process Improvement/Re-engineering
    •    Creativity & Innovation
    •    Decision Making & Critical Thinking
    •    Delivering Results
    •    Managing Multiple Priorities
    •    Ownership
    •    Problem Solving
    •    Project Management
    •    Simplifying Complex Concepts
    •    Adaptability
    •    Managing workforce Diversity
    •    Team work
    •    Integrity and trust
    •    Building positive connections
    •    Client focus
    •    Communicating with impact
    •    Conflict management
    •    Relationship management
    •    Business statistics
    •    Confidentiality
    •    Initiative
    •    Presentations
    •    Performance management
    •    Report writing
    •    Tolerance for stress

    Required key skills (functional / technical)

    • Thorough understanding of the modelling development process.
    • Understanding of statistical techniques which may be used to address client business issues.
    • Understanding of the principles and applications of the relevant Business Lines analytics solutions range.
    • Highly PC literate.
    • Good knowledge of relevant statistical (e.g. SAS/SPSS or R) and IT packages.
    • Good knowledge of computer programming and programming languages
    • Knowledge of machine learning
    • Strong communication skills, including proficiency in writing reports and presenting technical work.
    • Effective project planning and time management skills
    • An innovative and inquisitive mind, focused on addressing and solving data and analysis problems.
    • Common sense/logical approach to mathematical reasoning.
    • Knows the steps that must be taken to investigate/correct data problems.
    • Strong interpersonal skills.
    • Strong collaboration and teamwork skills
    • Commercially aware.
    • Relevant Language skills for local marketplace.
    • Excellent English language skills
    • Thorough knowledge of the use and application of analytical methodologies.
    • Full understanding of bureau data and value added products and how these are used within a client environment. In those markets where there is no bureau – a full understanding of how Bureau operate
    • Data Analysis & Interpretation
    • Data Processing
    • Excel
    • Mathematical & Statistical Orientation
    • Predictive modelling
    • Programming & Coding
    • R (statistical coding)
    • SAS/WPS
    • Scorecards
    • Spatial Analysis
    • Solution Design
    • Statistical Analysis and Measurement


    Required qualifications/experience

    • Degree or equivalent standard, with a high mathematical content e.g. Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences.
    • 5 - 7 Years experience of statistical / analytics project work.

    Method of Application

    Interested and qualified? Go to Experian on www.linkedin.com to apply

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