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- Tasks: Join the Data Expansion Team to analyse and innovate new data sources for Equifax.
- Company: Equifax is a leading data analytics company driving innovation in financial services.
- Benefits: Enjoy career development opportunities, flexible work options, and a collaborative culture.
- Why this job: Be part of a dynamic team making impactful decisions that drive revenue and innovation.
- Qualifications: A 2:1 degree in a numerical field and experience in financial services analytics required.
- Other info: Ideal for those with programming skills in SAS, SQL, and Python.
The predicted salary is between 48000 - 72000 £ per year.
As an Equifax Senior Analyst you will play an important role in the newly created Data Expansion Team within Data and Analytics (D&A). You will be part of a new and exciting team focused on analytically proving the value of new data assets while proactively engaging with new and existing data suppliers to find new data sources that the Product team are asking for, or that D&A can recommend to Product based on analytical exercises having been undertaken and the data tested before engaging product. You will support analytical projects utilising all Equifax data looking at how it interacts and supports the CRA and other businesses. You will have engagements with internal stakeholders and external data providers supporting innovation and product evolution to help drive revenue deliverables for Equifax UK. D&A offers a clear, structured career development framework enabling accelerated career progression and growth. Individuals can benefit from working alongside their managers to build and fulfil their career aspirations within Equifax.
What you’ll do:
- Support Data Expansion priorities and projects focused on Data Innovation, Big Bet Support and Credit Lifecycle stage support.
- Run analytical data exercises using internal and external data sources to identify new data assets that will provide value to Equifax and drive new revenue opportunities.
- Work independently within Data and Analytics collaborating on design help from manager or senior associates.
- Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable.
- Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, and assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources.
- Integrate Equifax, customer, and third-party data to solve internal or customer analytical problems of moderate complexity and report findings to managers and stakeholders.
- Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product, and Technology counterparts to implement corrective measures.
- Communicate impacts and importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action.
- Understand the concepts of quantitative and qualitative data and how to relate them to the customer to show the value of analysis.
- Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals.
What experience you need:
- Relevant numerical degree with a 2:1 or above.
- Experience in a related analyst role in financial services.
- Experience in programming languages, SAS, SQL, and Python in a credit risk environment.
- An innovative mindset and attention to detail.
- Excellent written and verbal communication skills with the ability to communicate with team members and internal stakeholders at various levels, including business leaders.
What could set you apart:
- Experience of working with consumer or commercial data within either a credit risk policy or scoring environment.
- Previous experience of credit bureau data.
Senior Analyst employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst
✨Tip Number 1
Familiarise yourself with Equifax's data products and services. Understanding how they operate and the value they provide will help you engage effectively with internal stakeholders and external data suppliers during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in SAS, SQL, and Python. Being able to demonstrate your coding proficiency and how you've applied it in previous roles will set you apart from other candidates.
✨Tip Number 3
Prepare examples of past analytical projects where you've successfully identified new data assets or improved processes. Be ready to discuss the impact of your findings and how they contributed to revenue growth or operational efficiency.
✨Tip Number 4
Network with professionals in the financial services sector, particularly those with experience in credit risk. Engaging with industry peers can provide insights into current trends and challenges, which you can reference in your discussions with us.
We think you need these skills to ace Senior Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, programming languages like SAS, SQL, and Python, and any previous roles in financial services. Emphasise your innovative mindset and attention to detail.
Craft a Compelling Cover Letter: In your cover letter, explain why you are excited about the Senior Analyst role at Equifax. Mention specific projects or experiences that demonstrate your ability to support data innovation and drive revenue opportunities.
Showcase Analytical Skills: Provide examples of past analytical projects where you successfully identified new data assets or solved complex problems. Highlight your ability to communicate findings effectively to stakeholders.
Highlight Team Collaboration: Discuss your experience working collaboratively with internal stakeholders and external data providers. Showcase how you have contributed to team success and supported product evolution in previous roles.
How to prepare for a job interview at Equifax, Inc.
✨Showcase Your Analytical Skills
Prepare to discuss specific analytical projects you've worked on, especially those involving data innovation or credit risk. Be ready to explain your thought process and the impact of your findings on business decisions.
✨Demonstrate Technical Proficiency
Familiarise yourself with the programming languages mentioned in the job description, such as SAS, SQL, and Python. Consider preparing a brief example of how you've used these tools to solve complex problems in previous roles.
✨Communicate Effectively
Practice articulating your ideas clearly and concisely. Since the role involves engaging with various stakeholders, being able to communicate complex data insights in an understandable way is crucial.
✨Understand Data Governance
Brush up on data governance principles and compliance standards relevant to Equifax. Being knowledgeable about how to ensure proper use of data assets will demonstrate your commitment to ethical data practices.
