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- Tasks: Join our Data and Analytics team as a MI Analyst, managing client queries and internal resolutions.
- Company: Equifax empowers you to reach your potential while making a meaningful impact in data analytics.
- Benefits: Enjoy flexible work options, 26 days holiday, and perks like gym memberships and financial plans.
- Why this job: Be part of an exciting Google cloud transformation and develop your skills in a collaborative environment.
- Qualifications: Experience in SQL, Python, and data analysis is essential; a STEM degree is a plus.
- Other info: This role offers opportunities for personal development and a supportive workplace culture.
The predicted salary is between 28800 - 42000 £ per year.
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. This is an exciting opportunity to join TDX Groups Data and Analytics team as a MI Analyst where you will manage queries and resolutions from our clients with internal stakeholders.
You will be experienced in Python and SQL with the ability to integrate data, fix code, create dashboards as well as further progress our automation. You will join as we complete our Google cloud transformation and develop your cloud skills. You’ll be an experienced analyst, a self-starter, able to grow and expand your experience.
What you’ll do:
- Works independently within Data and Analytics with limited design help from manager or senior stakeholders.
- Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable.
- Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention.
- Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources.
- Integrate Equifax, customer and third party data to solve internal or customer analytical problems of moderate complexity and report findings to managers and stakeholders.
- Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures.
- Ability to communicate impacts and importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action. Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis.
- Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals.
What experience you need:
- Previous experience in a related analyst role.
- Technical capabilities including SQL, BigQuery, Python (Pandas), Dash, MS Excel / Google Sheets, Tableau.
- Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis.
What could set you apart:
- Relevant degree in a STEM subject.
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-Nottingham
Function: Function - Data and Analytics
Schedule: Full time
MI Analyst employer: Kount
Contact Detail:
Kount Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MI Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and Google Cloud. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with current or former employees of Equifax, especially those in the Data and Analytics team. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare for potential technical interviews by practising coding challenges that focus on SQL and Python. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
✨Tip Number 4
Stay updated on industry trends related to data analytics and cloud technologies. Being able to discuss recent developments or innovations during your interview can demonstrate your passion and commitment to the field.
We think you need these skills to ace MI Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data analytics. Include specific examples of projects where you've integrated data or created dashboards, as this will resonate with Equifax's requirements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the MI Analyst role and how your skills align with Equifax's goals. Mention your experience in managing queries and collaborating with stakeholders, as well as your interest in cloud transformation.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or academically, summarise them in your application. Highlight your ability to solve analytical problems and communicate findings effectively, as these are key aspects of the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an analyst position.
How to prepare for a job interview at Kount
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any other relevant tools like BigQuery or Tableau. Be prepared to discuss specific projects where you used these skills to solve problems or create insights.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex analytical problems in the past. Discuss your approach to integrating data from various sources and how you ensured the accuracy and reliability of your findings.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will be crucial when discussing the impact of your findings on the business and recommending actions based on your analysis.
✨Emphasise Collaboration
Since the role involves working with various teams, be ready to share experiences where you successfully collaborated with others. Highlight your ability to work independently while also being a team player.
