At a Glance
- Tasks: Create impactful Power BI reports and turn complex data into compelling stories.
- Company: Join a forward-thinking Data & Insights team in a dynamic environment.
- Benefits: Flexible working, private medical cover, and six volunteering days annually.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI-driven analytics and make a real impact.
- Qualifications: Experience with Power BI, DAX, and a passion for user-centred design.
The predicted salary is between 45000 - 55000 £ per year.
About The Role
This is a key role within our Data & Insights team, delivering front‑end reporting and analytics that service stakeholders from across Business Solutions – a collection of functions that enable our people and our business to perform at their best.
We’re looking for a Senior Associate to deliver impactful, user‑centred reporting and analytics, predominantly through Power BI, turning complex data into clear, compelling stories that help stakeholders understand performance, make decisions, and drive action.
This is an exciting time to join the team.
As AI reshapes how data teams operate, this role will evolve – moving beyond building dashboards towards becoming a trusted advisor who helps the firm interpret data, ask better questions, and embed a culture of data‑driven decision making.
We're looking for someone energized by that shift.
- What Your Days Will Look Like
- Design and deliver impactful Power BI solutions by wireframing dashboards with stakeholders, developing intuitive reports, optimising DAX and semantic models, and championing data visualisation best practice.
- Analyse and validate data to ensure reporting accuracy, uncover trends and insights, and provide meaningful, actionable intelligence for the business.
- Turn data into compelling stories by collaborating with stakeholders to shape requirements, contextualise insights, support decision‑making, and promote data literacy.
- Drive continuous improvement and governance through robust documentation, knowledge sharing, adherence to data standards, reporting rationalisation, and leveraging AI and emerging technologies to enhance delivery and user experience.
- This Role Is For You If
- Power BI & Analytics
Expertise: Demonstrable experience building high‑quality, user‑focused Power BI reports and dashboards, with DAX skills and an understanding of semantic model design; experience with Databricks, Workday, or Service Now is advantageous.
- Analytical Mindset: Confident interrogating data, challenging assumptions, identifying insights, and ensuring conclusions are accurate and meaningful before presenting findings.
- User‑Centred Design & Storytelling: Passionate about creating intuitive, accessible dashboards and translating complex data into clear, compelling narratives that drive action.
- Innovation & AI Adoption: Enthusiastic about leveraging AI, automation, and emerging technologies to enhance analytics delivery and evolve from report creation to strategic insight and decision support.
- Collaboration & Knowledge
Sharing: Actively supports team development by sharing expertise, providing constructive challenge, and building relationships with stakeholders at all levels.
- Organisation & Delivery: Self‑motivated and structured, with the ability to manage competing priorities, communicate effectively, and deliver high‑quality work in a fast‑paced environment.
- What You’ll Receive From Us
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
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StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Senior Associate - 12 month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like PwC UK before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like PwC UK.
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We think you need these skills to ace Data Analyst, Senior Associate - 12 month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at PwC UK, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to PwC UK, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab PwC UK’s attention and show the tangible impact of your work.
How to prepare for a job interview at PwC UK
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at PwC UK.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at PwC UK.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at PwC UK.
