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- Tasks: Lead a team in data investigations and impact analyses, using SQL and Python.
- Company: Join Equifax's dynamic Core Analytics team, known for expertise in data usage.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Why this job: Make a real impact by solving complex data challenges and improving processes.
- Qualifications: Numerical degree (2:1 or above) and experience in SQL, Python, and data analytics.
- Other info: Collaborative environment with opportunities to present to stakeholders and influence decisions.
The predicted salary is between 36000 - 60000 £ per year.
Equifax is seeking a driven and insightful Consultant to join our dynamic Core Analytics team within the Data and Analytics (D&A) division. This role will work closely with internal analytics teams, data owners and technology squads on a wide range of data investigations and impact analyses. Members of Core Analytics are known for being the subject matter experts in how Equifax data is used and are at the heart of the most important projects in the business. A new team is being established within Core Analytics that will be dedicated to providing the analysis and expertise required when incidents occur or complex client queries are received. The successful applicant will manage a team of analysts, assigning priorities and providing guidance for analysis while contributing analytical output as well.
What you’ll do
- Develop deep data knowledge in the structure, application and permissible use of data sources, across consumer and commercial lines of business.
- Application of data mining tools and programming languages like SQL and Python to prepare data and undertake analysis.
- Represent D&A in Business Incident meetings to suggest relevant investigative or impact analyses.
- Triage individual incident (non BI) tickets assigned to D&A to understand severity, necessary actions and timelines.
- Manage an inbox that receives client data queries from client facing D&A teams.
- Provide analytical support to the Tiger Team’s proactive data improvement initiatives.
- Prioritise work across a team of analysts across BIs, incidents and queries.
- Write and present proposals, approaches and results to stakeholders, including complex analysis to a range of technical and non-technical audiences in Equifax’s governance councils.
What Experience You Need
- Relevant numerical degree with a 2:1 or above.
- Experience in programming languages SQL and Python in a data analytics environment.
- Experience in the use of credit bureau data.
- An inquisitive mindset, with experience of digging deep into data and processes to understand what happens and why.
- Strong technical expertise and experience of analytics techniques to solve problems.
- You possess excellent written and verbal communication skills with the ability to communicate with team members and stakeholders at various levels, including business leaders.
- Strong hands-on experience in a data analytics environment.
What could set you apart
- Previous data analytics experience working in a consumer or commercial CRA.
- Deep understanding of the industry / regulatory landscape.
- Leadership in an incident resolution team.
Data Investigations Manager employer: Equifax
Contact Detail:
Equifax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Investigations Manager
✨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-life examples can make you stand out.
✨Tip Number 3
Prepare for the interview by understanding Equifax's data landscape. Familiarise yourself with their products and services so you can speak confidently about how you can contribute to the 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 serious about joining the team.
We think you need these skills to ace Data Investigations Manager
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used SQL or Python in past projects. We love seeing candidates who are genuinely excited about data analytics.
Tailor Your Application: Make sure to customise your application to highlight your relevant experience. Mention any previous roles where you managed teams or handled complex data queries. This helps us see how you'd fit into our Core Analytics team.
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, especially when discussing your analytical skills and experiences. Avoid jargon unless it's necessary, and remember, clarity is key!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Equifax
✨Know Your Data Inside Out
Before the interview, dive deep into understanding the data sources relevant to the role. Familiarise yourself with how Equifax data is structured and used across different business lines. This will not only help you answer questions confidently but also demonstrate your genuine interest in the position.
✨Brush Up on SQL and Python
Since the role requires proficiency in SQL and Python, make sure you're comfortable discussing your experience with these programming languages. Prepare examples of how you've used them in past projects, especially in data mining or analysis, to showcase your technical skills effectively.
✨Prepare for Incident Scenarios
Think about potential incident scenarios that could arise in a data analytics environment. Be ready to discuss how you would triage incidents, prioritise tasks, and communicate findings to both technical and non-technical stakeholders. This shows your problem-solving skills and readiness for real-world challenges.
✨Practice Your Communication Skills
Given the need to present complex analyses to various audiences, practice explaining your past projects in simple terms. Focus on how you can convey technical information clearly and effectively, as strong communication skills are crucial for this role.
