At a Glance
- Tasks: Join our Core Analytics team to reshape data usage and enhance matching logic.
- 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
Equifax is an exceptional employer that fosters a culture of innovation and collaboration within its Core Analytics team. Located in a vibrant area, we offer our employees a structured career development framework, empowering them to reach their full potential while working on cutting-edge projects that shape the financial industry. With a strong emphasis on employee growth and a supportive environment, Equifax stands out as a place where meaningful and rewarding careers are built.
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 people in the industry, especially those at Equifax. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with SQL or Python, be ready to discuss specific projects where you used these tools. Real examples can make you stand out in interviews.
✨Tip Number 3
Prepare for the technical side of things. Brush up on data mining techniques and matching algorithms. Being able to talk about these topics confidently will impress the hiring team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
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 analytics and how you can contribute to our Core Analytics team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! If you've worked with matching algorithms or have experience in the UK financial services market, make sure to highlight that. We’re keen on seeing how you can bring your knowledge to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re serious about joining us at Equifax!
How to prepare for a job interview at Equifax
✨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 simple terms, as you'll need to communicate with team members and stakeholders at various levels. Consider doing mock interviews to refine your delivery.
✨Show Your Passion for Data
Demonstrate your enthusiasm for data analytics and the financial services market during the interview. Share insights about current trends or challenges in the industry and how you think they could impact data matching. This shows that you're not just qualified, but also genuinely interested in contributing to Equifax's success.
