Data Analyst - Data Analityk

Data Analyst - Data Analityk

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
SR2 | Socially Responsible Recruitment | Certified B Corporation™

At a Glance

  • Tasks: Transform business needs into actionable insights through data analysis and dashboard development.
  • Company: Fast-growing finance company with a collaborative and ambitious culture.
  • Benefits: Competitive salary, flexible working, and a supportive environment.
  • Other info: Opportunity for career growth in a rapidly scaling company.
  • Why this job: Make a real impact by shaping data-driven strategies in a dynamic team.
  • Qualifications: Experience in data analysis, strong SQL skills, and knowledge of data modelling.

The predicted salary is between 50000 - 60000 £ per year.

An established and fast-growing company is seeking a Data Analyst to support the next phase of its growth. As a key member of the data team, you'll play a pivotal role in transforming business requirements into meaningful, actionable insights through reporting, data modelling, and dashboard development.

What You'll Be Doing:

  • Stakeholder Engagement: Work closely with teams across the business to understand data needs and provide insights that directly impact strategy and operations.
  • Data Modelling & Analysis: Develop and maintain scalable, high-quality data models using SQL and cloud-based platforms.
  • Dashboarding: Create visually compelling and interactive dashboards using PowerBI.
  • SQL Development: MySQL, large datasets.
  • Continuous Improvement: Identify opportunities to enhance reporting processes and analytical efficiency.
  • Knowledge of AWS and Python.

What We're Looking For:

  • Proven experience in a similar Data Analyst role.
  • Strong SQL skills – able to write complex queries and work with large, relational datasets.
  • Strong understanding of Data Modelling techniques.
  • Proficient with Excel and general data manipulation techniques.

Why Join? This is a genuinely collaborative environment where every team member has the chance to shape outcomes and influence change. The business is ambitious, values-driven, and committed to using data to make a real difference - both internally and for its customers. You'll benefit from a flexible working model, a supportive culture, and the opportunity to contribute meaningfully to a company that’s scaling at pace.

Location: Hybrid/Remote – with just 1 day per month required on-site in the southwest.

Data Analyst - Data Analityk employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

Join a dynamic and ambitious company that prioritises collaboration and values-driven work culture. As a Data Analyst, you'll enjoy a flexible working model and the chance to make a significant impact through your insights, all while being part of a supportive team dedicated to continuous improvement and employee growth. With only one day a month required on-site in the picturesque South West, this role offers a unique blend of remote flexibility and meaningful engagement.

SR2 | Socially Responsible Recruitment | Certified B Corporation™

Contact Details:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Data Analityk

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

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Apply Directly through Our Website

When you find a suitable opening like Data Analyst - Data Analityk at SR2 | Socially Responsible Recruitment | Certified B Corporation™, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst - Data Analityk

Stakeholder Engagement
Data Modelling
SQL
PowerBI
MySQL
Data Analysis
Excel

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at SR2 | Socially Responsible Recruitment | Certified B Corporation™, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SR2 | Socially Responsible Recruitment | Certified B Corporation™. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SR2 | Socially Responsible Recruitment | Certified B Corporation™!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.