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Consumer retrospective manager

Nottingham (Nottinghamshire)
Equifax
Manager
Posted: 17 February
Offer description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Equifax is seeking a driven and insightful Consultant to join our dynamic Core Analytics team within the Data and Analytics (D&A) division. This role will see you manage the most important analytics tool that Equifax has - the Consumer Retrospective Service. The Retro takes an input file of individuals and recreates how the person would have looked on a given day in the past; calculating summary variables and scores to enable internal and client analysis.



You will oversee the change control process and direct analysts and developers in fulfilling the updates.

Key stakeholders are from across the analytics teams and the Product area who will request updates to accompany new product launches. Incidents may require swift action to provide remediation, or you may identify areas for improvement.



The Retro Manager is expected to be technically strong and contribute to the updates as well as being able to plan and execute effectively, communicate with stakeholders and provide thorough documentation.

What you'll do

* Utilise SQL and Python on Google Cloud Platform to maintain, extend and enhance the code behind the Consumer Retrospective Service.

* Be responsible for the change control process:

o provide estimates for new requests

o manage the flow from pipeline to active work

o acquire the sign-off level appropriate for the change

o confirm deployment and inform (or where necessary, train) users about changes

* Work with stakeholders around the business to understand the prioritisation of the pipeline, balancing user experience, accuracy of service and revenue opportunities.

* Expand and maintain documentation to assist users and technical developers.

* Manage 2 - 4 analysts and developers

* Maintain a close relationship with data and product specialists to understand how the Retro must behave to best reflect the Live system for existing or new products.

* Oversee analysis to understand how to improve the accuracy of the service.

What experience you need

* Relevant numerical degree with a 2:1 or above

* Proficiency using SQL and Python in a data analytics environment

* Use of Git/Github to manage concurrent development in a controlled manner

* Experience in the use of credit bureau data

* Strong technical expertise and experience of analytics techniques to solve problems

* You possess excellent written and verbal communication skills with the ability to communicate with team members and stakeholders at various levels of technical understanding

* Extensive hands-on experience in a data analytics environment

What could set you apart

* Previous data analytics experience working in a consumer or commercial CRA

* Experience using PySpark, and any/all of: BigQuery, DataFlow, DataProc, Airflow (or equivalents)

The Perks of being a Equifax Employee?

We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more

We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference


Primary Location:

GBR-LondonGBR-Leeds-6-Wellington, GBR-Nottingham

Function:

Function - Data and Analytics

Schedule:

Full time

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