At a Glance
- Tasks: Join our Core Analytics team to reshape data usage and enhance matching algorithms.
- Company: Equifax, a leader in financial data analytics with a supportive culture.
- Benefits: Structured career development, competitive salary, and innovative work environment.
- Other info: Opportunity for growth in a dynamic team focused on cutting-edge solutions.
- Why this job: Make a real impact on crucial projects using the latest technology.
- Qualifications: Numerical degree, experience in SQL or Python, and strong analytical skills.
The predicted salary is between 45000 - 55000 £ per year.
Equifax is seeking a driven and insightful Senior Analyst to join our dynamic Core Analytics team within the Data and Analytics (D&A) division. This is a pivotal role where you will directly contribute to our success by reshaping the way we use and combine our data. The ability to match a piece of data to an address, a company or a person is at the heart of how Equifax serves the financial industry. You will work closely with internal analytics teams, data owners and technology squads to ensure our matching logic is the best around. You will be a part of one of the biggest and most important projects the company has undertaken that utilises the latest technology and techniques for matching. At Equifax, we empower our employees to achieve their full potential. Our D&A team offers a clear, structured career development framework designed to accelerate your progression and growth. You'll have the opportunity to work closely with experienced managers to build and realise your career aspirations within a supportive and innovative environment.
What you’ll do:
- Application of data mining tools and programming languages like SQL and Python to prepare data and undertake analysis.
- Design and test new matching algorithms for names and/or addresses.
- Document and present to senior analytics leaders for approval.
- Create logic that continually reviews the quality of matching over time and highlights data where match results should be adjusted.
- Develop deep data knowledge in the structure, application and permissible use of data sources in present state and devise plans for any possible improvements that would aid the matching algorithms.
- Conduct analysis for any matching related queries from clients or consumers.
What experience you need:
- Relevant numerical degree with a 2:1 or above.
- Experience in programming languages such as SQL or Python in a data analytics environment.
- Strong technical expertise and experience of analytics techniques to solve problems.
- Experience of the UK financial services market and the data held by a CRA.
- Excellent written and verbal communication skills with the ability to communicate with team members and stakeholders at various levels, including business leaders.
- Consistently strong at execution of tasks; hitting deadlines without compromising on quality of work.
- Current hands‑on experience in a data analytics environment.
What could set you apart:
- Previous data analytics experience working with consumer credit reference agency data.
- Knowledge of text comparison algorithms.
- Exposure to machine learning techniques for data matching.
- Use of Scala; experience using GCP.
Senior Analyst - Keying & Linking employer: Equifax, Inc.
Equifax is an exceptional employer that fosters a culture of innovation and collaboration within its Core Analytics team. With a strong focus on employee development, you will benefit from a structured career progression framework and the opportunity to work with cutting-edge technology in a supportive environment. Located in the heart of the UK financial services sector, Equifax offers unique insights and experiences that empower you to make a meaningful impact in your role as a Senior Analyst.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst - Keying & Linking
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Equifax on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially in data analytics. Show them you’re not just a number cruncher but a problem solver!
✨Tip Number 3
Don’t forget to showcase your communication skills! Practice explaining complex data concepts in simple terms. This will help you connect with both technical and non-technical team members during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Equifax team. Let’s get you that Senior Analyst role!
We think you need these skills to ace Senior Analyst - Keying & Linking
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Analyst role. Highlight your experience with SQL, Python, and any relevant data analytics projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data matching and how your background fits into our Core Analytics team. Let us know what excites you about working at Equifax.
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention specific examples of how you've used data mining tools or developed algorithms in past roles. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Equifax, Inc.
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data mining and analysis. Equifax is looking for someone who can hit the ground running, so showcasing your technical expertise will definitely set you apart.
✨Understand Matching Algorithms
Since this role involves designing and testing matching algorithms, it’s crucial to have a solid understanding of how they work. Prepare to talk about any experience you have with text comparison algorithms or machine learning techniques. If you can share specific examples of how you've improved matching processes in previous roles, that’ll really impress them.
✨Communicate Clearly
Equifax values strong communication skills, so practice articulating your thoughts clearly and concisely. Be prepared to explain complex data concepts in a way that non-technical stakeholders can understand. This will show that you can bridge the gap between technical teams and business leaders effectively.
✨Show Enthusiasm for Growth
Equifax offers a structured career development framework, so express your eagerness to learn and grow within the company. Share your career aspirations and how you see yourself contributing to their dynamic Core Analytics team. This will demonstrate that you’re not just looking for a job, but a place where you can thrive and make an impact.
