Banking Data Analyst: SQL, Python & Insights (Hybrid London)
Banking Data Analyst: SQL, Python & Insights (Hybrid London)

Banking Data Analyst: SQL, Python & Insights (Hybrid London)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse banking data using SQL and Python to generate actionable insights.
  • Company: High-end consultancy firm in the UK with a focus on integrity and collaboration.
  • Benefits: Hybrid working arrangements, competitive salary, and a supportive team environment.
  • Why this job: Join a dynamic team and make a real impact in the banking sector.
  • Qualifications: Strong SQL and Python skills, plus experience in data modelling and BI pipelines.
  • Other info: Opportunity for professional growth in a positive work culture.

The predicted salary is between 36000 - 60000 £ per year.

A high-end consultancy firm in the UK is seeking a Data Analyst with strong SQL and BigQuery skills, proficient in Python and good business acumen in banking. The role requires the ability to produce actionable insights and offers hybrid working arrangements. Ideal candidates will also have experience with data modeling and BI pipeline standardization. Join a dynamic team committed to fostering a positive work environment based on integrity and collaboration.

Banking Data Analyst: SQL, Python & Insights (Hybrid London) employer: emagine

As a leading consultancy firm in the UK, we pride ourselves on being an excellent employer that values integrity and collaboration. Our hybrid working model allows for flexibility while fostering a positive work culture, and we are dedicated to employee growth through continuous learning opportunities and mentorship. Join us to be part of a dynamic team where your contributions will drive meaningful insights in the banking sector.
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Contact Detail:

emagine Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Banking Data Analyst: SQL, Python & Insights (Hybrid London)

✨Tip Number 1

Network like a pro! Reach out to people in the banking and data analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate your ability to produce actionable insights and impress potential employers with your data modelling expertise.

✨Tip Number 3

Prepare for interviews by brushing up on your business acumen in banking. Understand the latest trends and challenges in the industry so you can discuss how your skills can help tackle them during your interview.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to show your enthusiasm for joining our dynamic team.

We think you need these skills to ace Banking Data Analyst: SQL, Python & Insights (Hybrid London)

SQL
BigQuery
Python
Business Acumen in Banking
Data Modeling
BI Pipeline Standardization
Actionable Insights
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your SQL, Python, and data modelling skills. We want to see how your experience aligns with the banking sector, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis in banking and how you can contribute to our team. Keep it concise but impactful!

Showcase Your Insights: When detailing your past experiences, focus on how you’ve produced actionable insights from data. We love seeing examples of how your work has made a difference, so share those success stories!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic team!

How to prepare for a job interview at emagine

✨Know Your SQL and Python Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your proficiency through practical examples or even coding challenges.

✨Understand the Banking Sector

Since this role is in a high-end consultancy firm focused on banking, it’s crucial to have a solid understanding of the industry. Research current trends, challenges, and key players in the banking sector so you can speak confidently about how your insights can add value.

✨Showcase Your Data Modelling Skills

Be ready to discuss your experience with data modelling and BI pipeline standardization. Prepare to explain how you've approached these tasks in the past and the impact your work had on decision-making processes within your previous roles.

✨Emphasise Collaboration and Integrity

This firm values a positive work environment based on integrity and collaboration. Think of examples from your past experiences where you worked effectively in a team, resolved conflicts, or contributed to a positive workplace culture. This will show that you align with their values.

Banking Data Analyst: SQL, Python & Insights (Hybrid London)
emagine
Location: London
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  • Banking Data Analyst: SQL, Python & Insights (Hybrid London)

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • E

    emagine

    50-100
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