At a Glance
- Tasks: Transform complex data into actionable insights to drive business value in retail.
- Company: Join a large, innovative organisation committed to efficient financial operations.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to enhance AI-driven initiatives.
- Why this job: Make a real impact by informing financial strategies with your analytical skills.
- Qualifications: Experience in data analysis, advanced SQL, and Excel skills required.
The predicted salary is between 35000 - 50000 £ per year.
Shape strategic decisions by transforming complex data into actionable insights within a fast-paced retail environment. This role offers the opportunity to drive genuine business value, directly informing financial and operational strategy through robust analysis and clear reporting. This position is within a large organisation that operates in the retail industry. They are committed to maintaining efficient financial operations and leveraging data to drive business growth and improve decision-making.
Responsibilities
- Analyse financial data to identify trends, discrepancies, and opportunities for improvement.
- Prepare detailed reports and dashboards for stakeholders across the Accounting & Finance department.
- Collaborate with cross-functional teams to support budgeting and forecasting activities.
- Develop and maintain comprehensive financial and operational reports using SQL and Excel.
- Analyse large datasets to identify trends, anomalies, and opportunities for business improvement.
- Collaborate closely with finance leadership to understand analytical needs and deliver timely, accurate insights.
- Contribute to the identification of data points that could enhance AI-driven initiatives, without requiring deep AI specialisation.
- Present findings and recommendations clearly to stakeholders, supporting data-led decision-making.
- Ensure data integrity and consistency across reporting frameworks.
- Proactively identify and deliver reporting improvements to increase efficiency and impact.
Profile
- Proven experience in a Data Analyst role, ideally within a retail or e-commerce setting.
- Advanced proficiency in SQL for data extraction and manipulation.
- Expert-level Excel skills, including pivot tables, advanced formulas, and data visualisation.
- A practical, results-oriented mind-set capable of delivering insights in a dynamic environment.
- An understanding of how data contributes to broader business objectives, including AI-driven strategies.
- Ability to work effectively, providing valuable analytical support without the need for extensive corporate governance frameworks.
- Comfortable commuting to Gillingham (Kent) for a minimum of three days per week.
- A track record of identifying and communicating key data trends and business implications.
Job Offer
- Competitive salary ranging from £35,000 to £50,000 per annum.
- A collaborative and supportive work environment.
If you are a motivated Finance / Data Analyst seeking a permanent role where you can make a meaningful impact, apply today to join this exciting team!
Finance Data Analyst in Gillingham employer: Michael Page
Join a dynamic and collaborative team within a large retail organisation that values data-driven decision-making and employee growth. With a commitment to fostering a supportive work culture, this company offers competitive salaries, opportunities for professional development, and the chance to make a significant impact on financial operations. Located in Gillingham, Kent, employees benefit from a vibrant community and the chance to contribute to innovative AI-driven initiatives while enjoying a flexible work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Analyst in Gillingham
✨Tip Number 1
Network like a pro! Reach out to people in the finance and retail 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
Prepare for interviews by practising your data storytelling skills. Be ready to explain how your analysis has driven business decisions in the past. We want to see how you can turn numbers into narratives!
✨Tip Number 3
Show off your SQL and Excel skills during interviews. Bring examples of reports or dashboards you've created. This is your chance to demonstrate your expertise and how it can benefit the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Finance Data Analyst in Gillingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Finance Data Analyst role. Highlight your experience with SQL and Excel, and don’t forget to mention any retail or e-commerce experience you have. We want to see how your skills align with our needs!
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 a retail environment. Share specific examples of how you've transformed data into actionable insights before – we love a good story!
Showcase Your Analytical Skills:In your application, be sure to highlight your ability to identify trends and discrepancies in financial data. We’re looking for someone who can not only analyse but also present findings clearly, so include any relevant reporting experience you have.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Michael Page
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you transformed complex data into actionable insights, especially in a retail context. This will show your understanding of how data drives business decisions.
✨Master SQL and Excel
Brush up on your SQL and Excel skills, as these are crucial for the role. Prepare to demonstrate your proficiency by discussing how you've used advanced formulas, pivot tables, and data visualisation techniques in previous roles. Maybe even bring along a sample report or dashboard you've created!
✨Showcase Your Collaboration Skills
This role involves working closely with cross-functional teams, so be prepared to share examples of how you've collaborated with others in the past. Highlight any budgeting or forecasting activities you've supported, and how your insights contributed to team success.
✨Communicate Clearly and Confidently
Practice presenting your findings and recommendations in a clear and concise manner. The ability to communicate complex data insights to stakeholders is key. Consider doing a mock presentation to a friend or family member to refine your delivery and ensure you're comfortable with the material.
