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- Tasks: Lead data analytics teams and deliver impactful programmes for clients using R and Python.
- Company: Join a forward-thinking company focused on data-driven solutions and client success.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by transforming data into actionable insights for clients.
- Qualifications: Experience in data analysis and strong leadership skills required.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
This role will:
- Work alongside senior leaders to grow PPL Data & Analytics' client base, range of products, team, and impact for clients.
- Lead teams of data analysts and consultants to deliver high-quality, impactful data & analytics programmes of work.
- Lead the introduction of new data & analytics tools, approaches, and techniques to meet client needs, including the deployment of modern modelling, statistical, and economic tools and techniques, primarily with R and Python.
- Develop, scope, and plan programmes of data & analytics work with clients.
- Develop new and existing client and internal analytics programmes, projects and resources.
- Build internal and client materials, products, resources and capacity for transformational change.
Programme Delivery:
- Scoping, spinning up, and coordinating the delivery of agreed programme and project plans.
- Consolidating activity and defining clear work packages and deliverables.
- Managing scope, quality, risks, issues, budgets, and resources within assigned areas.
- Ensuring effective documentation and quality assurance of deliverables.
- Applying different delivery methodologies where appropriate (JIRA, kanban, agile).
- Manage pricing, invoicing, and contracting with clients.
Technical Delivery:
- Design and deliver data collection processes in collaboration with client organisations.
- Design and deliver novel analytical approaches, translating client needs into clear methods and logic.
- Manage a wide range of datasets, including through effective and secure information governance and data protection.
- Analyse data and interpret the outputs of analyses, leading the application of statistical approaches to identify trends and relationships in complex datasets and draw meaningful conclusions.
- Maintain domain knowledge and technical proficiency that allows close work with senior data analysts to deliver their core functions including data structuring and cleaning, segmentation, and model design. This includes familiarity with statistical analysis software (R, Python), data engineering & ETL processes, and reporting packages (e.g. PowerBI).
Business Development:
- Working with the Head of Data & Analytics to develop overall business development strategy, including go-to-market strategies and product development.
- Maximising key client interactions on behalf of PPL.
- Supporting the development of PPL's product and market offerings.
- Supporting the development of new business opportunities, through to contract award.
- Supporting PPL's overall annual business and strategic planning processes.
- Owning and delivering assigned elements of PPL's strategic and business plans.
Resource Management:
- Support the growth of PPL's Data & Analytics team and the management of specialist technical colleagues.
- Ensuring compliance with agreed PPL policies and procedures.
- Supporting the realisation of PPL's values on both an individual and organisational level.
Data & Analytics Manager in Westminster employer: PPL
Contact Detail:
PPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Manager in Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and any tools you've used like R or Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. Think about how you would approach real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in what we do at StudySmarter.
We think you need these skills to ace Data & Analytics Manager in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data & Analytics Manager. Highlight your experience with R and Python, and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and analytics, and how you can contribute to our team. Be sure to mention specific tools and methodologies you’ve used that relate to the job.
Showcase Your Achievements: When detailing your past roles, focus on achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact of your work. We love seeing how you've made a difference in previous positions!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at PPL
✨Know Your Data Tools
Make sure you brush up on your skills with R and Python, as these are crucial for the role. Be prepared to discuss specific projects where you've used these tools to deliver impactful analytics.
✨Showcase Your Leadership Skills
Since you'll be leading teams of data analysts and consultants, think of examples where you've successfully managed a team or project. Highlight how you coordinated efforts and ensured quality delivery.
✨Understand Client Needs
Familiarise yourself with common client challenges in data and analytics. Be ready to discuss how you've previously scoped and planned programmes that met client needs, and how you can apply that knowledge here.
✨Be Agile and Adaptable
The role requires applying different delivery methodologies like JIRA, kanban, and agile. Prepare to talk about your experience with these methods and how you've adapted your approach to fit project requirements.
