Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive business decisions and improve performance through insightful reporting.
- Company: Dynamic company focused on innovation and collaboration in finance.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by providing insights that shape business strategies and outcomes.
- Qualifications: 1-2 years of data processing experience and strong communication skills.
- Other info: Join a supportive team with a focus on personal development and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
Responsibilities:
- Create meaningful and actionable variance analysis comparing performance of KPIs with agreed targets and budgets.
- Support business decision making through exploring business questions using data analysis and visualisation and delivering conclusions and recommendations.
- Provide information and insight into past, current and potential future trading activities, highlighting opportunities and risks to improve business performance.
- Support on rebates analysis – tracking performance, producing reconciliations, reporting to finance, producing scenario analysis to assist with profitability decisions.
- Build & maintain regular reporting in an easy to use, insightful and actionable way to department stakeholders.
- Develop efficient, automated reporting as requested by the business on an ad hoc basis, allowing decisions to be made at all levels of seniority.
- Maintain key reports, metrics and workflows running within their scope, including where relevant highlighting data integrity issues and escalating to appropriate teams.
- Support the business planning processes by forecasting the relevant KPI performance over the short, medium and long term.
- Collaborate with other business units to improve ways of working and ensure appropriate reporting, process and metric alignment.
- Support on commercially focused projects, providing relevant insights, reporting and financial impact information.
The Financial Analyst (FP&A) will have:
- 1-2 years of data processing experience (SQL, Hadoop, Excel etc.).
- Ability to effectively develop strong stakeholder relationships at all levels of the business.
- Confident presenting findings in an effective, structured and actionable way to a wide set of audiences with varying levels of understanding.
- Strong communication skills and the ability to explain complex problems, analysis and topics in a concise, meaningful way.
- Analytical and curious mindset, with strong commercial acumen.
- Able to appropriately prioritise and organise workload independently.
Financial Analyst in Manchester employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees in the finance sector, especially those working as Financial Analysts. Ask them about their experiences and any tips they might have for landing a role. You never know, they might even refer you!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL or Excel. When you get the chance to chat with hiring managers, share your insights and how you've used data to drive decisions.
✨Tip Number 3
Practice makes perfect! Before interviews, rehearse common questions related to financial analysis and data interpretation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace Financial Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Financial Analyst role. Highlight your data processing experience and any relevant skills like SQL or Excel. We want to see how your past experiences 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 the role and how you can support business decision-making through data analysis. Let us know what makes you tick!
Showcase Your Analytical Skills: In your application, don’t shy away from sharing examples of how you've tackled complex problems or provided insights in previous roles. We love seeing that analytical mindset in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Morgan McKinley
✨Know Your Numbers
As a Financial Analyst, you'll be expected to handle data like a pro. Brush up on your SQL, Excel, and any other relevant tools before the interview. Be ready to discuss specific examples of how you've used these skills in past roles to drive business decisions.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical thinking during the interview. Think of a time when you tackled a complex problem or provided insights that led to significant business improvements. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex financial concepts in simple terms. You might be asked to present findings or recommendations, so consider rehearsing with a friend or family member to ensure your delivery is clear and engaging.
✨Build Relationships
Since you'll need to develop strong stakeholder relationships, think about how you can demonstrate your interpersonal skills. Prepare examples of how you've collaborated with different teams or influenced decision-making in previous roles. This will show that you're not just a numbers person but also a team player.
