At a Glance
- Tasks: Manage client queries and collaborate with internal teams to deliver insights.
- Company: Join TDX Group, a leader in data and analytics transformation.
- Benefits: Enjoy remote work options, skill development, and a dynamic team culture.
- Other info: Opportunity for growth in a fast-paced, innovative environment.
- Why this job: Be part of an exciting Google cloud transformation and enhance your coding skills.
- Qualifications: Experience in SQL, Python, and data analysis is essential; a STEM degree is a plus.
The predicted salary is between 36000 - 60000 £ per year.
This is an exciting opportunity to join TDX Groups Data and Analytics team as a MI Analysts 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
#LI-KB1
MI Analyst in Nottingham employer: Equifax
TDX Group is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. As a MI Analyst, you will benefit from extensive opportunities for professional growth, particularly as we embark on our Google cloud transformation, allowing you to enhance your cloud skills in a supportive environment. With a focus on employee development and a commitment to leveraging cutting-edge technology, TDX Group stands out as a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land MI Analyst in Nottingham
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Tableau. Consider building a small project or dashboard that showcases your skills in these areas, as this will demonstrate your practical experience during interviews.
✨Tip Number 2
Network with current or former employees of TDX Group to gain insights into their work culture and expectations. This can help you tailor your approach and show that you understand the company’s values and how you can contribute.
✨Tip Number 3
Stay updated on the latest trends in data analytics and cloud technologies, especially Google Cloud. Being able to discuss recent developments or innovations in these areas can set you apart during interviews.
✨Tip Number 4
Prepare to discuss specific examples from your past experiences where you've successfully integrated data or automated processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
We think you need these skills to ace MI Analyst in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any relevant data analytics tools like Tableau or Google Sheets. Emphasise your ability to manage queries and work independently, as these are key aspects of the MI Analyst role.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences where you've successfully integrated data or created dashboards, showcasing your problem-solving skills and technical expertise.
Showcase Relevant Experience:When detailing your previous roles, focus on your analytical skills and any experience you have with data governance and compliance. Highlight instances where you've communicated findings effectively to stakeholders, as this is crucial for the position.
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 essential for an analyst role.
How to prepare for a job interview at Equifax
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other relevant tools like BigQuery or Tableau. Consider bringing examples of dashboards you've created or code you've written to demonstrate your capabilities.
✨Understand the Role's Requirements
Familiarise yourself with the specific responsibilities of a MI Analyst. Be ready to explain how your previous experiences align with managing queries, integrating data, and automating processes, as these are key aspects of the job.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to communicate findings effectively to both technical and non-technical stakeholders is crucial, so think of examples where you've done this successfully.
✨Demonstrate Problem-Solving Skills
Prepare to discuss past challenges you've faced in data analysis and how you resolved them. Highlight your analytical thinking and how you approach problem-solving, especially in relation to data integration and anomaly detection.
