At a Glance
- Tasks: Lead client relationships and architect innovative financial planning solutions.
- Company: Dynamic consultancy focused on connected planning and financial analysis.
- Benefits: Competitive salary, autonomy in your role, and access to cutting-edge technology.
- Other info: Join a collaborative team with zero bureaucracy and excellent growth opportunities.
- Why this job: Make a real impact by transforming financial planning with modern methodologies.
- Qualifications: Strong FP&A background and experience with major planning platforms.
The predicted salary is between 70000 - 120000 £ per year.
We are looking for a Pigment Consultant who combines a strong FP&A background with enterprise-wide connected planning expertise. This isn't a passive model-building role. You will lead client relationships, contributing to both presales and delivery, using your commercial confidence to challenge briefs, push back and clarify requirements, and drive modern, driver-led planning architecture.
Key Responsibilities
- Presales & Advisory: Partner with sales to lead discoveries, build high-impact Proofs of Concept (PoCs), and scope complex solution architectures.
- Architecture & Delivery: Architect and implement end-to-end Pigment models, seamlessly linking financial metrics to operational drivers (HR, Sales, Supply Chain).
- Strategic Leadership: Guide executive stakeholders away from legacy spreadsheet thinking and mentor junior builders on best-practice Pigment design.
What We’re Looking For
- Strong FP&A Foundation: Solid understanding of financial planning, corporate finance workflows, and business drivers.
- EPM Platform Expertise: Deep model-building experience in a major Connected Planning ecosystem (e.g., Anaplan, TM1, Workday Adaptive, Board, OneStream). Pigment experience is a massive plus; an appetite to cross-train from a competitor is essential.
- Consultative Gravitas: The confidence to challenge client assumptions, facilitate workshops, navigate executive pushback, and demonstrate excellent communication skills.
The Perks:
- Competitive Compensation: £70k–120k depending on experience.
- Pure Autonomy: Shape the delivery methodology of a fast-growing practice.
- The Best Tech Stack: Direct exposure to Pigment—the most agile platform in the current EPM market.
- Zero Bureaucracy: High-impact role in a collaborative, flat-structure environment.
Graduate Consultants - Data Analysis employer: Brabner Fox
As a Graduate Consultant in Data Analysis, you will thrive in a dynamic and innovative environment that champions autonomy and collaboration. Our commitment to employee growth is evident through hands-on mentorship and the opportunity to shape delivery methodologies, all while working with cutting-edge technology like Pigment. With competitive compensation and a flat organisational structure, we empower our team to challenge the status quo and drive impactful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Consultants - Data Analysis
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Brabner Fox!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Brabner Fox.
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When you find a suitable opening like Graduate Consultants - Data Analysis at Brabner Fox, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Graduate Consultants - Data Analysis
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 Brabner Fox, 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 Brabner Fox. 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 Brabner Fox
✨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 Brabner Fox!
✨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.
