Senior Scoring Analyst

Posted Yesterday
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Hiring Remotely in Johannesburg, Gauteng
Remote
Senior level
Big Data • Marketing Tech • Analytics
The Role
The Senior Scoring Analyst role involves leading analytics projects, ensuring data integrity, and developing analytical solutions to meet client needs. Responsibilities include data extraction, modeling, quality control, project management, and communication with clients to assess requirements and manage project scopes and timelines.
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Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Job description

This role is responsible for supporting and leading the analytics projects delivery effort and providing project management to develop descriptive and predictive analytical solutions which deliver benefits to clients and their customers. 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/non-standard 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 & re-run 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.

• Ensure quality and accuracy of own work and the work of any Analysts on the project

• Follow best practice procedures and processes throughout the analytics solution delivery process Project Management

• Review and assess client requirements to produce project specification and documentation for review by the line manager, communicating practical implementation issues.

• Accurately assess project scope, duration, resources and costs to define project plan and charter for review by the line manager.

• Support Operations workload on a day-to-day basis, including liaison with onshore/offshore resource.

• Plan and organize project workload, to meet client commitments and agreed schedules.

• Prepare project status reports for clients and the line manager which can be used to communicate project status to relevant parties, both internal and external.

• Proactively identify potential risks in achieving project timescales, taking all possible action to minimize risk.

• Retain accountability for the quality of the project deliverables.

• Control scope of projects, re-negotiating with the client where any additional requests result in further chargeable work or the need for revised timescales in order to maximize profitability and to understand project and product profitability.

• Complete post project budget review, actual versus forecast in order to minimize EBIT leakage. 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.

• Lead client/customer meetings to present results, conclusions and recommendations.

• Responsible for prompt resolution of both internal and external queries and questions.

• Establish strong relationships with clients/customers at a peer level and above.

• 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.

• Support consultants by actively contributing to business reviews to define customer requirements

• 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

• Act as a mentor to junior project team members

• Provide support to the line manager on people management, KPIs and budget issues.

• Ensure effective communication of project issues.

• Foster team spirit and mutual co-operation. 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 analytics training to the sales force.

• 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.

• Ensure that potential learning from each project is maximized.

• Regularly participate in webinars and knowledge sharing sessions.

• Shared targets with line manager/Analytics Consultants/Global Consultants to transfer knowledge.

Qualifications

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.

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian’s strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.


Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Top Skills

Data Analysis
The Company
HQ: Costa Mesa, CA
16,292 Employees
On-site Workplace
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s 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 opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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