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For Companies At a Glance
- Tasks: Manage client queries and collaborate with internal teams to deliver data insights.
- Company: Join TDX Group, a leader in Data and Analytics, driving innovation in cloud transformation.
- Benefits: Enjoy flexible working options, skill development opportunities, and a vibrant team culture.
- Why this job: Be part of an exciting journey in data analytics, enhancing your skills while making a real impact.
- Qualifications: Experience in SQL, Python, and data analysis; a relevant STEM degree is a plus.
- Other info: Ideal for self-starters eager to grow in a dynamic environment.
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 #J-18808-Ljbffr
MI Analyst employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. 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 TDX Group or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous analytical experiences in detail, especially those involving data integration and automation. Be ready to share specific examples of how you've solved complex problems using data-driven approaches.
✨Tip Number 4
Stay updated on industry trends related to data analytics and cloud technologies. Being knowledgeable about recent developments can help you demonstrate your passion for the field and your commitment to continuous learning during the interview process.
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 any relevant data analytics tools. Emphasise your ability to manage queries and collaborate with stakeholders, as these are key aspects of the MI Analyst role.
Craft a Compelling 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.
Showcase Technical Skills: Clearly list your technical capabilities, especially in SQL, Python (Pandas), and any experience with Google Cloud or data visualisation tools like Tableau. Provide examples of how you've used these skills in previous roles.
Highlight Team Collaboration: Since the role involves working with various stakeholders, include examples of how you've collaborated with teams in the past. This could be through joint projects or by resolving complex analytical problems together.
How to prepare for a job interview at Equifax, Inc.
✨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 or code snippets you've created to demonstrate your capabilities.
✨Understand the Business Impact
Make sure you can articulate how your analytical findings can influence business decisions. Be ready to discuss past experiences where your insights led to actionable outcomes for stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you resolved them. Highlight your ability to integrate data from various sources and troubleshoot issues effectively.
✨Emphasise Collaboration Skills
Since this role involves working with internal stakeholders, be ready to share examples of how you've successfully collaborated with teams in the past. Show that you can communicate complex data insights clearly to non-technical audiences.
