Data Analyst

Data Analyst

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team as a Data Analyst, ensuring data accuracy and supporting key business decisions.
  • Company: We're a dynamic financial services company focused on innovation and growth.
  • Benefits: Enjoy a permanent role with opportunities for professional development and impactful projects.
  • Why this job: Make a real impact in a data-driven environment while collaborating with key teams.
  • Qualifications: Proficiency in Excel and strong analytical skills are essential; experience in financial services is a plus.
  • Other info: Ideal for detail-oriented individuals ready to elevate their data career!

The predicted salary is between 28800 - 48000 £ per year.

MI & Data Analyst – Financial Services

Our client, a dynamic and forward-thinking financial services company, is looking for an MI & Data Analyst to join their growing team. This permanent role offers an exciting opportunity to work at the heart of data analysis, providing valuable insights to support key business decisions and strategic initiatives.

Role Overview

As part of the MI & Data team, you’ll ensure data integrity across the business, supporting the production of accurate and actionable management information. You’ll collaborate with key teams to maintain and enhance data quality, ensuring consistency across systems and aiding the transition to a data warehouse.

Key Responsibilities

  1. Ensure data accuracy within the CRM and submission systems
  2. Support MI reporting through data extraction and cleansing
  3. Align financial data across platforms and support finance team processes
  4. Assist in data improvement projects to enhance reporting accuracy
  5. Work closely with internal stakeholders to ensure robust data governance

Skills & Experience

  1. High proficiency in Excel
  2. Strong analytical and problem-solving skills
  3. Experience in data administration or financial services preferred
  4. Knowledge of SQL, Azure Data Factory, or Intelliflo Office is a plus
  5. Degree in a data-related field is advantageous

This is a fantastic opportunity to make an impact in a data-driven environment, working on key projects that support business growth and decision-making. If you’re detail-oriented, proactive, and ready to take your data career to the next level, let’s chat! #J-18808-Ljbffr

Data Analyst employer: Institute of Communication

Join a dynamic and forward-thinking financial services company that values innovation and collaboration. As a Data Analyst, you'll thrive in a supportive work culture that prioritizes employee growth and development, offering opportunities to enhance your skills while making a meaningful impact on key business decisions. With a focus on data integrity and governance, this role not only allows you to contribute to exciting projects but also positions you at the forefront of the company's strategic initiatives.
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Contact Detail:

Institute of Communication Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarize yourself with the specific tools mentioned in the job description, like SQL and Azure Data Factory. Having hands-on experience or even completing a relevant online course can set you apart from other candidates.

✨Tip Number 2

Network with professionals in the financial services sector. Attend industry meetups or webinars to connect with potential colleagues and learn more about the data challenges they face.

✨Tip Number 3

Prepare to discuss your analytical problem-solving skills in detail during the interview. Think of specific examples where you've successfully tackled data-related issues in previous roles.

✨Tip Number 4

Show your enthusiasm for data governance and quality assurance. Be ready to share your thoughts on best practices and how you can contribute to maintaining data integrity within the organization.

We think you need these skills to ace Data Analyst

High proficiency in Excel
Strong analytical skills
Problem-solving skills
Experience in data administration
Knowledge of SQL
Familiarity with Azure Data Factory
Understanding of Intelliflo Office
Attention to detail
Data cleansing and extraction
Data governance
Collaboration with internal stakeholders
Ability to enhance data quality
Degree in a data-related field

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly read the job description for the MI & Data Analyst position. Understand the key responsibilities and required skills, such as data accuracy, reporting, and collaboration with internal stakeholders.

Highlight Relevant Experience: When writing your CV and cover letter, emphasize your experience in data administration or financial services. Mention specific projects where you ensured data integrity or improved reporting accuracy.

Showcase Technical Skills: Make sure to highlight your proficiency in Excel and any experience with SQL, Azure Data Factory, or Intelliflo Office. Provide examples of how you've used these tools in previous roles to support data analysis.

Craft a Tailored Cover Letter: Write a personalized cover letter that reflects your enthusiasm for the role and the company. Discuss how your skills align with their needs and express your eagerness to contribute to their data-driven environment.

How to prepare for a job interview at Institute of Communication

✨Showcase Your Excel Skills

Since high proficiency in Excel is crucial for this role, be prepared to discuss your experience with advanced Excel functions. Consider bringing examples of how you've used Excel to analyze data or create reports in previous positions.

✨Demonstrate Analytical Thinking

Highlight your strong analytical and problem-solving skills during the interview. Be ready to share specific examples of challenges you've faced in data analysis and how you approached solving them.

✨Familiarize Yourself with Relevant Tools

If you have experience with SQL, Azure Data Factory, or Intelliflo Office, make sure to mention it. If not, take some time to learn the basics of these tools, as they are valuable for the role and will show your commitment to the position.

✨Understand Data Governance

Since the role involves ensuring robust data governance, be prepared to discuss what data governance means to you. Share any experiences you have had with maintaining data integrity and quality in previous roles.

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