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- Tasks: Lead innovative data projects and create high-quality analytical models for clients.
- Company: Dynamic consultancy focused on data and analytics with a collaborative spirit.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by driving change through advanced data methodologies.
- Qualifications: Experience in data analysis, modelling, and strong collaboration skills required.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This role will:
- Lead the delivery of innovative technical data & analytics projects and the creation of high-quality, reproducible models, tools, and products for our clients.
- Work in close collaboration with consultants and other non-quantitative specialists to deliver mixed-methods projects that drive change.
- Develop PPL's data & analytics capacity including the introduction of new advanced data management, analytical, modelling, and statistical methodologies for our clients.
- Lead analytics-focused business development, supporting the scoping, pricing, and set-up of analytical projects.
- Contribute to the development of PPL's internal tech stack for use by the data & analytics and wider teams.
Project Delivery
- Support the technical scoping, spinning up, and delivery of agreed technical project plans for clients across health, care, the public and third sectors.
- Consolidate activity and define clear work packages and deliverables for teams of technical data analysts.
- Manage scope, quality, risks, issues, budgets, and resources within assigned areas.
- Ensure effective documentation and quality assurance of deliverables and products.
Technical Delivery
- Design & execute data collection processes in collaboration with client-side technical teams based on requirements for delivering analyses.
- Design and build novel analytical methodologies, translating project requirements into clear logic, processes, and high-quality, reproducible data & analytical products.
- Deploy a strong theoretical understanding of modelling approaches (e.g. Monte Carlo Simulations, Dynamic Systems Modelling), statistics (regression analysis, ANOVA), and tools (R studio, Python).
- Maintain domain knowledge and technical proficiency to deliver data structuring and cleaning, segmentation, and model design.
- Manage a wide range of datasets, including through effective and secure information governance and data protection.
- Analyse data and interpret the outputs of analyses to identify trends and relationships in complex datasets, communicate results to lay audiences, and draw meaningful conclusions and recommendations.
Business Development
- Maximise key client interactions on behalf of PPL.
- Support the development of PPL’s product and market offerings.
- Support the development of new business opportunities, through to contract award.
- Support PPL’s overall annual business and strategic planning processes.
- Own and deliver assigned elements of PPL’s strategic and business plans.
Internal Infrastructure
- Contribute to the development of PPL's data & analytics tech stack, including cloud tools, analytical platforms, visualisation tools, agentic AI processes, and productivity-enhancing tools for the wider consulting team.
- Ensure compliance with agreed PPL policies and procedures.
- Support the realisation of PPL’s values on both an individual and organisational level.
Senior Data Analyst in City of Westminster employer: PPL
Contact Detail:
PPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and analytical models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Analyst in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data management, analytical methodologies, and any relevant tools like R or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our innovative projects. Don’t forget to mention any collaborative experiences you've had with non-quantitative specialists.
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to showcase them! Whether it’s a modelling approach or a unique analytical tool you developed, we love seeing real examples of your work that demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at PPL
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data management and analytical methodologies. Brush up on your knowledge of tools like R Studio and Python, and be ready to discuss how you've applied techniques like Monte Carlo Simulations or regression analysis in past projects.
✨Showcase Your Project Management Skills
Be prepared to talk about how you've managed project scopes, budgets, and resources in previous roles. Highlight specific examples where you’ve successfully delivered technical project plans and ensured quality assurance of deliverables.
✨Collaborate Like a Pro
This role involves working closely with non-quantitative specialists, so demonstrate your ability to collaborate effectively. Share experiences where you’ve worked in mixed-methods teams and how you’ve contributed to driving change through teamwork.
✨Communicate Complex Ideas Simply
You’ll need to explain complex data analyses to lay audiences, so practice simplifying your explanations. Prepare to give examples of how you’ve communicated findings and recommendations in an accessible way, ensuring everyone understands the insights derived from the data.
