Data Analyst

Data Analyst

Scotland Full-Time 30000 - 40000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to uncover trends and support business decisions.
  • Company: Join a leading financial services firm in Edinburgh, focused on innovation.
  • Benefits: Enjoy competitive pay, health benefits, flexible hours, and remote work options.
  • Why this job: Be part of a passionate team driving impactful data solutions in a collaborative culture.
  • Qualifications: Bachelor's degree in a relevant field and experience with data analysis tools required.
  • Other info: Work 3 days on-site in a vibrant city centre location.

The predicted salary is between 30000 - 40000 £ per year.

Location: Edinburgh (3 days on-site)

Salary: £30,000 – 40,000 D.O.E

Join a leading financial services company based in the heart of Edinburgh. We are committed to delivering innovative solutions and exceptional service to our clients. Our team is passionate about leveraging data to drive strategic decisions and enhance our offerings.

We are seeking a talented and motivated Data Analyst to join our team. The ideal candidate will have a strong analytical background, excellent problem-solving skills, and the ability to translate complex data into actionable insights. As a Data Analyst, you will play a crucial role in supporting our business objectives through data-driven analysis and reporting.

Key Responsibilities:
  • Collect, analyse, and interpret large datasets to identify trends and patterns.
  • Develop and maintain data models, dashboards, and reports.
  • Collaborate with cross-functional teams to understand data needs and provide insights.
  • Perform data validation and ensure data integrity.
  • Support the development of data-driven strategies to improve business performance.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
Qualifications:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in data analysis tools such as SQL, Python, R, and Excel.
  • Experience with data visualisation tools like Tableau or Power BI.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health and wellness benefits.
  • Opportunities for professional development and career growth.
  • Collaborative and inclusive work environment.
  • Flexible working hours and remote work options.

Data Analyst employer: In Technology Group

Join a dynamic financial services company in the vibrant city of Edinburgh, where we prioritise innovation and exceptional client service. As a Data Analyst, you will thrive in a collaborative and inclusive work culture that fosters professional development and offers flexible working arrangements. With competitive salaries, performance bonuses, and comprehensive health benefits, we are dedicated to supporting your growth while you contribute to impactful data-driven strategies.
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Contact Detail:

In Technology Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with the specific data analysis tools mentioned in the job description, such as SQL, Python, and Tableau. Consider taking online courses or tutorials to sharpen your skills in these areas, as demonstrating proficiency can set you apart from other candidates.

✨Tip Number 2

Network with professionals in the financial services sector, especially those working as Data Analysts. Attend industry meetups or webinars to gain insights into the role and potentially make connections that could lead to referrals.

✨Tip Number 3

Prepare to discuss real-world examples of how you've used data to drive decisions in previous roles. Being able to articulate your thought process and the impact of your analyses will demonstrate your value to potential employers.

✨Tip Number 4

Research the company’s recent projects or initiatives related to data analysis. Tailoring your discussions during interviews to show how your skills can contribute to their specific goals will help you stand out as a candidate who is genuinely interested in the role.

We think you need these skills to ace Data Analyst

Data Analysis
SQL
Python
R
Excel
Data Visualisation
Tableau
Power BI
Analytical Skills
Problem-Solving Skills
Communication Skills
Presentation Skills
Data Integrity
Collaboration
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in data analysis tools like SQL, Python, R, and any experience with data visualisation tools such as Tableau or Power BI.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background makes you a great fit for the company. Mention specific projects or experiences where you've successfully translated complex data into actionable insights.

Highlight Key Responsibilities: In your application, refer to the key responsibilities listed in the job description. Discuss your experience with collecting, analysing, and interpreting large datasets, and how you've collaborated with teams to provide valuable insights.

Showcase Communication Skills: Since excellent communication is crucial for this role, include examples of how you've presented findings and recommendations to stakeholders in previous positions. This will demonstrate your ability to convey complex information clearly and concisely.

How to prepare for a job interview at In Technology Group

✨Showcase Your Analytical Skills

Be prepared to discuss your analytical background in detail. Highlight specific projects where you successfully analysed data and derived actionable insights. Use examples that demonstrate your problem-solving skills and how they contributed to business outcomes.

✨Familiarise Yourself with Tools

Make sure you are well-versed in the data analysis tools mentioned in the job description, such as SQL, Python, R, and Excel. Be ready to discuss your experience with these tools and possibly even solve a practical problem during the interview.

✨Prepare for Data Visualisation Questions

Since the role involves presenting findings, be prepared to talk about your experience with data visualisation tools like Tableau or Power BI. You might be asked to explain how you would present complex data to stakeholders, so think about clear and concise ways to communicate your insights.

✨Understand the Company’s Business Objectives

Research the financial services company and understand its business model and objectives. This will help you tailor your responses to show how your skills can directly support their goals. Being knowledgeable about the company will also demonstrate your genuine interest in the position.

Data Analyst
In Technology Group
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