At a Glance
- Tasks: Develop financial models and analytics to support strategic decision-making for businesses.
- Company: Join a leading advisory firm with a focus on innovation and collaboration.
- Benefits: Enjoy personal growth, client engagement, and a supportive team environment.
- Other info: Diverse team culture that values creativity and data-driven insights.
- Why this job: Make a real impact by enhancing investor confidence and driving business success.
- Qualifications: ACA or ACCA qualified with advanced Excel skills and client-facing experience.
The predicted salary is between 55000 - 65000 £ per year.
Closing Date: 3rd July 1200
Open to: SA2s only
Locations: London - ML, Manchester
Qualifications: ACA - Exam & time qualified (or international equivalent)
About the team
In this role, you will leverage your ACA or equivalent qualifications to develop and deliver sophisticated financial models and analytics that reveal the core strengths of businesses, supporting strategic decision-making and enhancing investor confidence.
Here’s what we offer:
- A suite of transformative modelling and analytics products and services that guide our clients through every stage of the deal cycle.
- A commitment to the latest technologies and platforms to keep us at the forefront of the industry.
- A supportive, inclusive team brings together expertise from data science, technology, business, finance, and various industries.
- This is an amazing opportunity to grow your career in a nurturing environment that encourages your creative and commercial side.
- You’ll enjoy the personal growth opportunities, client engagement, and resources that come with being part of our team.
What you’ll do
- Building three‑statement financial models to evaluate various financial plans and scenarios, supporting strategic decision‑making.
- Developing modelling and analytics that reveal the core strengths of a business to its leaders or potential investors, boosting their confidence in the deal.
- Understanding what makes a business tick and creating data‑driven tools and/or models that empower management to make informed decisions and enhance business value.
- Translating complex technical and financial concepts into clear insights for our non‑technical stakeholders, aiding sound decision‑making.
- Enhancing investor and financier understanding by contributing to clear, KPI‑focused forecasts that reflect key business sensitivities.
- Strengthening negotiation positions with in‑depth analysis of past financial performance, projecting cash flow and profit trends.
- Working with management to develop commercial insights to improve business performance after a deal process.
- Preparing businesses for future transactions by establishing essential KPIs and reporting frameworks.
- Building trusting relationships and serving as a business partner and strategic advisor to our clients (Financial Directors, CFOs, FP&A Directors); translating and communicating your analysis to answer critical financial and commercial questions.
In short
You’ll join a team where you can have fun, learn a great deal, gain confidence, and enjoy memorable experiences, both personally and professionally. We welcome a diverse range of skills in data analytics and financial modeling and will explore where your talents fit best during the interview process.
Essential Skills & Experience
- We’re looking for someone who loves tackling complex challenges and takes pride in explaining their solutions.
- You’ll collaborate with similar analytical minds and engage with a variety of stakeholders.
- As a team player and excellent communicator, you’ll be an advisor who works well with others.
- Your commercial and financial acumen will be key as you delve into business drivers, analyse data, and provide transparent, actionable insights to our clients.
- ACA or ACCA is essential (or international equivalent).
- Advanced Excel skills for financial modelling.
- Experience in client‑facing roles.
- A passion for coaching and mentoring, with a drive to develop and empower your team.
- Self‑motivation and a love for learning.
- The ability to navigate complex financial and operational issues and solve unique business challenges.
Desirable skills & experience
- Proficiency in data visualisation tools like PowerBI.
- Experience in connecting and refining data using tools like Alteryx or Power Query.
- SQL and/or Python skills are not required but would be beneficial.
- Experience in VBA / Office Scripts.
We want to hear from you
If you’re ready to make a significant impact and help shape the future of businesses, we’d love to hear from you. Join us and be part of a team that celebrates diversity, creativity, and the power of data.
EM July 26 - Deals - TS - Data Insights & Analytics SA employer: PwC
Join a dynamic team in London or Manchester where your expertise in financial modelling and analytics will be valued and nurtured. We offer a collaborative and inclusive work culture that prioritises personal growth, innovative technologies, and meaningful client engagement, ensuring you thrive both professionally and personally. With a commitment to diversity and creativity, this is an exceptional opportunity to make a significant impact while developing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land EM July 26 - Deals - TS - Data Insights & Analytics SA
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We think you need these skills to ace EM July 26 - Deals - TS - Data Insights & Analytics SA
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PwC. 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 PwC
✨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!
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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
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✨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.
