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- Tasks: Dive into data analysis, product costing, and market insights to drive business decisions.
- Company: Join a leading UK Consumer Manufacturing business with a strong international presence.
- Benefits: Enjoy a competitive salary, pension, health benefits, and opportunities for growth.
- Why this job: Be part of a dynamic team that values analytical skills and commercial insight.
- Qualifications: 5-8 years in finance or business analysis; experience in manufacturing is a bonus.
- Other info: Collaborate with various teams and make a real impact on revenue growth.
The predicted salary is between 28000 - 42000 £ per year.
If you are an ambitious and talented Commercial Finance analyst looking for a strong analytical role then please consider this position. The business is a well-established UK Consumer Manufacturing business with sales well in excess of £200m and is part of an extensive international group with a huge focus upon the UK business. The role will suit someone who is numerically very strong but who is also commercially very competent and can communicate well. Profile · Strong analytical mindset and problem-solving skills · Interpersonal skills to collaborate with sales, operations, and marketing · Able to challenge assumptions and support business decisions Focus Areas ·Commercial analytics & performance, product costings, market insight Core Responsibilities ·Analyse performance across products, customers, and channels ·Prepare product costing simulations to support pricing decisions ·Deliver actionable insights on margins, pricing, and commercial initiatives ·Review sales trends and patterns, and forecast volumes and revenues ·Support revenue growth and profitability goals ·Identify inefficiencies and recommend improvements in reporting Technical Knowledge ·Solid understanding of product pricing, costing, and profitability ·Knowledge of sales forecasting and customer segmentation ·Familiarity with market drivers affecting supply and demand Business Partnering ·Collaborate with sales, marketing, and finance teams on revenue drivers ·Provide insights on customer, product, and market performance ·Support strategic and operational planning and transversal projects Previous experience · 5 – 8 years in commercial, financial, or business analysis · Exposure to industrial or manufacturing environment is a plus · Consultancy and/or advisory experience is a plus Leadership & Communications · Prepare dashboards, reports, and presentations for commercial team · Translate data into actionable business insights Systems & Tools · Proficient in BI tools (e.g. NetSuite, Power BI, Tableau, QlikView) · Advanced PowerPoint and Excel skills · Comfortable handling large data sets Rewards Base salary of up to £35/40,000 Pension Health Please get in touch with Andrew to discuss this very exciting hire
Finance Analyst employer: Always Candid
Contact Detail:
Always Candid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Analyst
✨Tip Number 1
Familiarise yourself with the key tools mentioned in the job description, such as Power BI and Excel. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Brush up on your commercial analytics skills. Be prepared to discuss how you've used data to drive business decisions in previous roles, as this will show your analytical mindset and problem-solving abilities.
✨Tip Number 3
Network with professionals in the finance and manufacturing sectors. Engaging with industry contacts can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've collaborated with sales and marketing teams in the past. Highlighting your interpersonal skills and ability to challenge assumptions will resonate well with the hiring team.
We think you need these skills to ace Finance Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience in commercial finance. Use specific examples from your previous roles that demonstrate your ability to analyse performance, prepare product costing simulations, and deliver actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience in collaborating with sales, marketing, and finance teams.
Showcase Technical Skills: Emphasise your proficiency in BI tools and advanced Excel skills. Provide examples of how you've used these tools to handle large data sets and create dashboards or reports that influenced business decisions.
Highlight Interpersonal Skills: Since the role requires strong interpersonal skills, include examples of how you've successfully collaborated with different teams. Discuss any experiences where you challenged assumptions or provided insights that supported business decisions.
How to prepare for a job interview at Always Candid
✨Showcase Your Analytical Skills
As a Finance Analyst, your analytical mindset is crucial. Be prepared to discuss specific examples of how you've used data to solve problems or improve processes in previous roles. Highlight any tools or methodologies you used to derive insights.
✨Demonstrate Commercial Acumen
This role requires a strong understanding of commercial dynamics. Be ready to talk about how you've supported pricing decisions or analysed market trends in the past. Showing that you can connect financial data with business strategy will impress the interviewers.
✨Prepare for Collaboration Questions
Interpersonal skills are key for this position. Expect questions about how you've worked with sales, marketing, or operations teams. Have examples ready that illustrate your ability to communicate effectively and collaborate on projects.
✨Familiarise Yourself with Relevant Tools
Proficiency in BI tools and advanced Excel is essential. Brush up on your skills with tools like Power BI or Tableau, and be prepared to discuss how you've used these tools to analyse data and present findings in a clear manner.
