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For Companies At a Glance
- Tasks: Analyze data, provide insights, and support various teams with actionable information.
- Company: Join Suits Me, an ethical fintech revolutionizing banking with a focus on financial inclusion.
- Benefits: Enjoy a dynamic work environment with opportunities for career growth and development.
- Why this job: Be part of a cutting-edge company making a real impact in the finance sector.
- Qualifications: Degree in relevant field and 2+ years of data experience required.
- Other info: Work closely with Data Engineers and Marketing teams in a supportive atmosphere.
The predicted salary is between 28800 - 42000 £ per year.
What we are looking for * Degree qualified in relevant degree (Maths, Data Science, Data Analytics, Economics). * 2+ years of Data experience. * Strong SQL Skills (Other language experience would be beneficial, e.g. Python, R) * Experience using a Data Visualisation tool (Power BI or Tableau). * Ability to communicate across different departments effectively. * Highly adaptable and analytical individual who can manage multiple priorities. * Ability to work independently. * An approachable and supportive nature with a strong commercial awareness. * Demonstrates an active interest in Data Science and Machine Learning. * Strong desire to progress throughout their career in a fast-paced environment. * Ability to anticipate business requirements and to proactively suggest data solutions to challenges the business may face. Core responsibilities * Working closely with Data Engineers to ensure all data is clean, accessible and accurate. * Responsible for analysing and understanding companywide performance, providing actionable insights to drive us forward. * Supporting the wider business with day-to-day data requests. * Managing expectations of multiple stake holders providing clear and concise insights and communications. * Working very closely with our Marketing and Acquisitions team to support and guide direction. * Automating other web-based reporting using multiple data sources via Power BI * Involvement in data science projects to improve understanding of customer behaviour, both during onboarding on thereafter About Suits Me: Suits Me is an ethical and cutting edge fintech business based in a rural setting near Knutsford, Cheshire. We are an award-winning alternative banking solution with financial inclusion and equality of opportunity sitting at the heart of the business. Suits Me operates within both B2B and B2C sectors in the UK and is currently working towards European expansion. For our account holders, we offer an alternative to traditional bank accounts with a contactless Mastercard, a full range of features and cashback rewards. For businesses, Suits Me offers a payment solution providing the UK’s only specialised client portal allowing recruiters and employers to open accounts for their employees and candidates within minutes
Data Analyst employer: Suits Me
Contact Detail:
Suits Me Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Make sure to highlight your SQL skills during the interview. Since strong SQL skills are a must-have for this role, be prepared to discuss specific projects where you've utilized SQL to solve data-related challenges.
✨Tip Number 2
Familiarize yourself with Power BI or Tableau if you haven't already. Being able to demonstrate your experience with these data visualization tools can set you apart from other candidates.
✨Tip Number 3
Showcase your adaptability and ability to manage multiple priorities. Prepare examples from your past work where you successfully juggled different tasks and how you communicated effectively across departments.
✨Tip Number 4
Express your interest in data science and machine learning during the interview. Discuss any relevant projects or courses you've taken that demonstrate your commitment to growing in this field.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 2+ years of data experience in your CV and cover letter. Include specific examples of projects where you utilized SQL, Python, or R, and mention any data visualization tools like Power BI or Tableau that you've worked with.
Showcase Communication Skills: Since the role requires effective communication across different departments, provide examples in your application that demonstrate your ability to convey complex data insights clearly and concisely to various stakeholders.
Demonstrate Adaptability: Suits Me values highly adaptable individuals. In your application, share instances where you successfully managed multiple priorities or adapted to changing business requirements, showcasing your analytical mindset.
Express Interest in Data Science: Convey your active interest in Data Science and Machine Learning in your cover letter. Mention any relevant courses, projects, or personal initiatives that reflect your passion for these fields and your desire to progress in a fast-paced environment.
How to prepare for a job interview at Suits Me
✨Showcase Your Technical Skills
Be prepared to discuss your SQL expertise in detail. Bring examples of past projects where you utilized SQL or other programming languages like Python or R. This will demonstrate your technical proficiency and problem-solving abilities.
✨Communicate Effectively
Since the role requires cross-departmental communication, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated insights to non-technical stakeholders.
✨Demonstrate Adaptability
Highlight instances where you've managed multiple priorities or adapted to changing business needs. This shows that you can thrive in a fast-paced environment, which is crucial for this position.
✨Express Your Interest in Data Science
Share your enthusiasm for data science and machine learning. Discuss any relevant projects or courses you've undertaken, as this will reflect your commitment to growing in the field and aligning with the company's innovative spirit.
