Data Analyst

Data Analyst

Full-Time No home office possible
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At a Glance

  • Tasks: Analyse data to provide actionable insights and support decision-making in banking.
  • Company: Join a high-end consultancy known for its integrity and strong client relationships.
  • Benefits: Competitive daily rate, hybrid work model, and a supportive team culture.
  • Why this job: Make a real impact in the financial sector while developing your analytical skills.
  • Qualifications: Strong SQL, Python skills, and a good understanding of banking.
  • Other info: Opportunity for career growth in a dynamic and equitable environment.

£500 - £550pd

emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.

Key Requirements

  • Strong SQL and BigQuery skills.
  • Proficiency in Python for automation.
  • Good business acumen, particularly in banking.
  • Experience in data modeling and BI pipeline standardization (for senior roles).
  • Ability to produce accurate, actionable insights.

Nice to Have

  • Experience with Looker Studio Pro or Qlik for dashboard development.
  • Knowledge of predictive analytics and statistical models.
  • Exposure to GenAI technologies.

Role Details

Data Analyst - Banking London - Hybrid

Application Guide

If you are up to the challenge and would like to find out more, get in touch with us immediately. Our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.

emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.

Data Analyst employer: emagine

At emagine, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that prioritises integrity and collaboration. Our London-based team enjoys the benefits of hybrid working, competitive pay, and ample opportunities for professional growth in the fast-paced financial services sector. We are committed to fostering a supportive environment where every consultant can thrive and contribute to meaningful projects that drive real results for our clients.
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Contact Detail:

emagine Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. The more connections you make, the better your chances of landing that Data Analyst role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL, Python, and data visualisation projects. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your business acumen, especially in banking. Be ready to discuss how your skills can solve real challenges in the financial services sector.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed by our internal recruitment team. We’re excited to hear from dynamic individuals like you!

We think you need these skills to ace Data Analyst

SQL
BigQuery
Python
Data Modeling
BI Pipeline Standardization
Business Acumen
Actionable Insights
Looker Studio Pro
Qlik
Predictive Analytics
Statistical Models
GenAI Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your SQL, Python, and data modelling skills prominently. We want to see how your experience aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in banking can bring value to our team. Keep it genuine and engaging!

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples of how you've used data to drive insights or improve processes. We love seeing real-world applications of your skills.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!

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 BigQuery skills, as well as your Python for automation. Be ready to discuss specific projects where you've used these tools effectively, and maybe even prepare to solve a problem on the spot.

✨Understand the Banking Sector

Since this role is focused on banking, it’s crucial to have a solid grasp of business acumen in this area. Research current trends and challenges in the financial services sector so you can speak confidently about how your insights can add value.

✨Showcase Your Data Modelling Experience

If you're applying for a senior role, be prepared to discuss your experience with data modelling and BI pipeline standardisation. Have examples ready that demonstrate how you've produced accurate and actionable insights from complex data sets.

✨Familiarise Yourself with Dashboard Tools

While not mandatory, having experience with Looker Studio Pro or Qlik can set you apart. If you’ve worked with these tools, be ready to share how you’ve developed dashboards that drive decision-making and improve business outcomes.

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