At a Glance
- Tasks: Analyse and transform data to support business decisions using SQL and Excel.
- Company: Join a dynamic financial services company with a strong brand identity.
- Benefits: Opportunity for professional growth and development in a collaborative environment.
- Why this job: Make a real impact in data analytics while working with a motivated team.
- Qualifications: Degree in Mathematics, Physics, or Economics, or strong data analytics experience required.
- Other info: Must drive due to office location; interviewing now for a July start.
The predicted salary is between 22000 - 30000 £ per year.
Job Description
- Interrogating and evaluating large datasets using Microsoft SQL Server Management Studio
- Refining and structuring data to maintain reliability and precision
- Designing data visualisations and compiling informative internal reports
- Utilising platforms such as Python and Excel to structure and display findings effectively
- Assisting with data-driven projects and supporting broader business activities
- Working closely with team members to interpret results and resolve challenges
What They’re Looking For:Essential:
- Demonstrable knowledge of SQL and strong Excel skills, including pivot tables and complex formulas
- A university degree in Mathematics, Physics, or Economics OR substantial hands-on experience in data analytics
Desirable:
- Interest in programming – familiarity with Python is advantageous
- High level of accuracy, initiative, and the ability to multitask
- Prior experience in a similar analytical position would be helpful
Key Attributes:
- Collaborative mindset and excellent communication skills
- Capable of simplifying intricate data for diverse audiences
- Driven and analytical with a genuine enthusiasm for continuous learning
- Well-organised and effective at managing priorities to meet timelines
This opportunity allows you to join an innovative and established company with a solid industry presence. It’s perfect for someone looking to make a meaningful contribution in analytics while progressing their career.Submit your application today to advance your future in data analysis. INTERVIEWING NOW for a JULY startContact HELEN: In application for this role, you are consenting to TN Recruits Ltd retaining your details to secure you work. All information provided will be held securely for up to 3 years unless we are contacted and instructed otherwise.
Data Analyst employer: TN Recruits
Contact Detail:
TN Recruits Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with SQL and Excel before the interview. Practising common SQL queries and advanced Excel functions like pivot tables will help you demonstrate your skills effectively during discussions.
✨Tip Number 2
Brush up on your data visualisation techniques. Being able to present data clearly is crucial, so consider preparing a few examples of how you've visualised data in the past to discuss during your interview.
✨Tip Number 3
Showcase your problem-solving skills by preparing to discuss specific challenges you've faced in previous roles or projects. Highlight how you approached these issues and the outcomes of your solutions.
✨Tip Number 4
Network with current or former employees of the company if possible. This can provide you with valuable insights into the company culture and expectations, which you can leverage during your interview.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your SQL and Excel skills in your CV and cover letter. Mention specific projects or experiences where you used these tools effectively.
Showcase Your Education: If you have a degree in Mathematics, Economics, or Physics, be sure to highlight this prominently. If you have relevant experience instead, detail it clearly to demonstrate your qualifications.
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the job posting, such as 'data manipulation', 'coding', and 'insights generation' to align your application with what they are looking for.
Express Enthusiasm: In your cover letter, convey your passion for data analytics and your eagerness to grow within the field. Mention any additional skills like Python that could set you apart from other candidates.
How to prepare for a job interview at TN Recruits
✨Showcase Your SQL Skills
Since proven SQL skills are essential for this role, be prepared to discuss your experience with SQL in detail. Consider bringing examples of queries you've written or projects where you've used SQL to solve problems.
✨Demonstrate Excel Expertise
Highlight your proficiency in Excel, especially with pivot tables and advanced functions. You might even want to prepare a quick demonstration or example of how you've used Excel to analyse data effectively in the past.
✨Prepare for Data Visualisation Questions
As the role involves visualising data and creating reports, think about how you can clearly communicate complex data insights. Be ready to discuss tools you've used for visualisation and how you ensure clarity in your reports.
✨Emphasise Team Collaboration
This position requires a collaborative approach, so be sure to share examples of how you've worked effectively within a team. Discuss any experiences where you contributed to problem-solving or shared insights that benefited your colleagues.