At a Glance
- Tasks: Craft and deliver game-changing analytics for businesses, enhancing decision-making and investor confidence.
- Company: Join a leading advisory firm with a focus on innovation and teamwork.
- Benefits: Competitive salary, personal growth opportunities, and a supportive team environment.
- Other info: Dynamic work culture with opportunities for coaching and mentoring.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Experience in client-facing roles and proficiency in data visualisation tools.
The predicted salary is between 55000 - 65000 £ per year.
Join our Deals Insights and Analytics (DIA) Transaction Services Team. In this role, you will leverage your financial and commercial knowledge to develop and deliver sophisticated analytics that reveal the core strengths of businesses, supporting strategic decision-making and enhancing investor confidence.
We offer a suite of transformative modelling and analytics products and services that guide clients through every stage of the deal cycle, a commitment to the latest technologies and platforms, and a supportive, inclusive team spanning data science, technology, business, finance, and various industries. This is an amazing opportunity to grow your career in a nurturing environment that encourages creativity and commercial growth. You’ll enjoy personal growth, client engagement, and resources that come with being part of our team.
What you'll do
- Developing analytics that reveal the core strengths of a business to its leaders or potential investors, boosting confidence in the deal.
- Understanding what makes a business tick and creating data‑driven tools that empower management to make informed decisions and enhance business value; translating complex technical and financial concepts into clear insights for non‑technical stakeholders.
- Enhancing investor and financier understanding by contributing to clear, KPI‑focused forecasts that reflect key business sensitivities and strengthening negotiation positions with in‑depth analysis of past financial performance and projecting cash flow and profit trends.
- Working with management to develop commercial insights to improve business performance after a deal process; engaging in business development to spot and research new opportunities with current or potential clients and preparing businesses for future transactions by establishing essential KPIs and reporting frameworks.
- Building trusting relationships and acting as a business partner and strategic advisor to clients (Private Equity Houses, Corporate Clients, Financial Directors, CFOs, FP&A Directors). Translating and communicating analysis to help answer critical financial and commercial questions.
How to catch our interest
- 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.
Essential Skills & Qualifications
- ACA or international equivalent.
- Proficiency in data visualisation tools such as PowerBI, Tableau, etc.
- Experience connecting and refining data using tools like Alteryx or Power Query.
- SQL and/or Python skills would be beneficial.
- Open to: SA2s only.
Locations: London ML, Manchester. Closing Date: 3rd July, 1200.
EM July 26 - Deals - TS - DIA Data Analytics -SA employer: PwC
Join a dynamic and inclusive team at our London or Manchester office, where we prioritise personal growth and professional development in the field of data analytics. As a Senior Associate in our Deals Insights and Analytics team, you'll have the opportunity to work with cutting-edge technologies while collaborating with diverse experts across various industries. We foster a culture of creativity and support, ensuring that you can thrive in your role and make a meaningful impact on our clients' strategic decisions.
StudySmarter Expert Advice🤫
We think this is how you could land EM July 26 - Deals - TS - DIA Data Analytics -SA
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We think you need these skills to ace EM July 26 - Deals - TS - DIA Data 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!
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 PwC, 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 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!
✨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 PwC!
✨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.
