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- Tasks: Join our Core Analytics team to reshape data usage and develop matching algorithms.
- Company: Equifax, a leader in financial data analytics with a supportive culture.
- Benefits: Competitive salary, flexible benefits, 26 days holiday, and personal development opportunities.
- Other info: Dynamic environment with excellent career growth and learning options.
- Why this job: Make a real impact in the financial industry using cutting-edge technology.
- Qualifications: Numerical degree, experience in SQL or Python, and strong analytical skills.
The predicted salary is between 50000 - 60000 £ 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.
The Perks of being an 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-London GBR-Leeds-6-Wellington
Function: Function - Data and Analytics
Schedule: Full time
Senior Analyst - Keying & Linking in London employer: Equifax
Contact Detail:
Equifax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst - Keying & Linking in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Equifax on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We want to show off our technical expertise, so practice explaining how you've used these tools in past projects.
✨Tip Number 3
Research Equifax’s recent projects and innovations in data analytics. This will help us ask insightful questions during the interview and demonstrate our genuine interest in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Analyst - Keying & Linking in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Analyst role. Highlight your experience with SQL, Python, and any relevant data analytics projects to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our Core Analytics team. Share specific examples of your past work that demonstrate your problem-solving skills.
Showcase Your Communication Skills: Since you'll be working with various stakeholders, it's crucial to demonstrate your written communication skills. Make sure your application is clear, concise, and free of jargon – we want to see how well you can convey complex ideas!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
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 analytics. Having specific examples of how you've applied these languages will show your technical expertise.
✨Understand Matching Algorithms
Since this role focuses on matching data, take some time to research different matching algorithms and their applications. Be prepared to discuss any experience you have with designing or testing these algorithms, as well as any insights you can bring to the table.
✨Communicate Clearly
Equifax values strong communication skills, so practice explaining complex data concepts in simple terms. Think about how you would present your analysis to stakeholders at various levels, and be ready to demonstrate your ability to convey information effectively.
✨Show Your Passion for Development
Express your enthusiasm for personal and professional growth. Discuss any relevant courses or learning experiences you've pursued, especially those related to data analytics or the financial services market. This will highlight your commitment to continuous improvement, which aligns with Equifax's values.