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- Tasks: Join the Data Expansion Team to analyse and innovate new data assets.
- Company: Equifax is a leading data analytics company driving innovation in financial services.
- Benefits: Enjoy structured career development, remote work options, and collaborative team culture.
- Why this job: Be part of a dynamic team making impactful decisions that drive revenue and innovation.
- Qualifications: A relevant numerical degree (2:1 or above) and programming skills in SAS, SQL, and Python.
- Other info: Cloud certification is preferred; experience with CRA data is a plus.
The predicted salary is between 28800 - 48000 £ per year.
As an Equifax 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, reviewing and understanding new data sources that the Product team is asking for, or that D&A can recommend to Product based on analytical exercises undertaken. You will support analytical projects utilizing all Equifax data, looking at how it interacts and supports the CRA and other businesses. You will engage with internal stakeholders 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 fulfill 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.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
- Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard data sources.
- Package, summarize, and visualize analytical findings and results for management.
- Work on less complex tasks in problems often within specific business or analytical domains, listening in and collaborating with other teams to develop solutions.
- Relevant numerical degree with a 2:1 or above.
- Experience in programming languages, SAS, SQL, and Python in either the commercial arena or at university.
- Cloud certification strongly preferred.
- An innovative mindset and attention to detail.
- Excellent written and verbal communication skills with the ability to communicate with team members.
- Experience using CRA data.
Analyst employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst
✨Tip Number 1
Familiarise yourself with Equifax's data products and services. Understanding how they leverage data for analytics will help you demonstrate your enthusiasm and knowledge during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in SAS, SQL, and Python. Being able to discuss specific projects or experiences where you've used these languages will show your practical expertise.
✨Tip Number 3
Network with current or former employees of Equifax, particularly those in the Data and Analytics team. They can provide insights into the company culture and the specific skills that are valued.
✨Tip Number 4
Prepare to discuss your analytical mindset and problem-solving approach. Think of examples where you've successfully tackled complex data challenges, as this will resonate well with the role's requirements.
We think you need these skills to ace Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Analyst role at Equifax. Emphasise your programming knowledge in SAS, SQL, and Python, as well as any cloud certifications you may have.
Craft a Compelling Cover Letter: Write a cover letter that showcases your innovative mindset and attention to detail. Discuss how your background in data structures and analytics can contribute to the Data Expansion Team's goals.
Highlight Relevant Projects: If you've worked on analytical projects or used CRA data in the past, be sure to mention these experiences. Provide specific examples of how you’ve utilised data to drive insights or revenue opportunities.
Showcase Communication Skills: Since excellent written and verbal communication skills are essential for this role, ensure your application is clear and concise. Use professional language and structure your documents well to demonstrate your ability to communicate effectively.
How to prepare for a job interview at Equifax, Inc.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and how you've used programming languages like SAS, SQL, and Python in previous projects. Highlight specific examples where your analytical skills led to successful outcomes.
✨Demonstrate Your Innovative Mindset
Equifax values innovation, so think of examples where you've approached a problem creatively or suggested new ideas. Be ready to explain your thought process and how it contributed to the success of a project.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex data concepts in simple terms. This will show that you can effectively communicate with both technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions related to data structures, algorithms, and analytics. Brush up on these topics and be ready to solve problems on the spot, as this will demonstrate your technical proficiency and readiness for the role.
