Data & Finance Analyst — Hybrid, Growth & Insights in Burnley

Data & Finance Analyst — Hybrid, Growth & Insights in Burnley

Burnley Full-Time 40000 - 40000 £ / year (est.) Home office (partial)
Marks Sattin Ltd

At a Glance

  • Tasks: Analyse data and financial insights to create impactful reports using Tableau.
  • Company: Marks Sattin Ltd., a leader in data-driven finance solutions.
  • Benefits: Up to £40k salary, 26 days holiday, hybrid work, and pension contributions.
  • Other info: Great opportunity for career growth in a supportive environment.
  • Why this job: Join a dynamic team and enhance your skills while driving business performance.
  • Qualifications: Experience in data analysis and financial reporting is essential.

The predicted salary is between 40000 - 40000 £ per year.

Marks Sattin Ltd. is seeking a Data / Finance Analyst in Lancashire to leverage data analysis, financial insights, and reporting. You will create Tableau reports, conduct financial analyses, and work closely with management to improve performance and reporting accuracy.

With a salary of up to £40k, the position offers:

  • 26 days of holiday
  • Hybrid work arrangements
  • A contributory pension
  • Additional benefits

This makes it a valuable opportunity for career progression.

Data & Finance Analyst — Hybrid, Growth & Insights in Burnley employer: Marks Sattin Ltd

Marks Sattin Ltd. is an excellent employer that prioritises employee growth and work-life balance, offering a hybrid working model that allows for flexibility in the beautiful setting of Lancashire. With competitive benefits including 26 days of holiday and a contributory pension, employees are encouraged to thrive both personally and professionally while contributing to impactful financial insights and reporting.

Marks Sattin Ltd

Contact Details:

Marks Sattin Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Finance Analyst — Hybrid, Growth & Insights in Burnley

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Marks Sattin Ltd!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & Finance Analyst — Hybrid, Growth & Insights at Marks Sattin Ltd.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Marks Sattin Ltd.

Apply Directly through Our Website

When you find a suitable opening like Data & Finance Analyst — Hybrid, Growth & Insights at Marks Sattin Ltd, 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 & Finance Analyst — Hybrid, Growth & Insights in Burnley

Data Analysis
Financial Analysis
Reporting
Tableau
Performance Improvement
Reporting Accuracy
Communication Skills

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 Marks Sattin Ltd, 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 Marks Sattin Ltd. 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 Marks Sattin Ltd

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 Marks Sattin Ltd!

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.