Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to drive data-driven decisions and innovative analytics solutions.
- Company: Join CHEP, a global leader in sustainable logistics with a diverse workforce.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on global sustainability while developing your analytical skills.
- Qualifications: Experience with Power BI, SQL, and strong leadership skills required.
- Other info: Be part of a dynamic team that values diversity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.
You’ll leverage advanced expertise in tools such as Power BI and ThoughtSpot to drive data-driven decision-making across global teams. This role will focus on providing technical guidance, solving complex analytical challenges, and promoting the adoption of innovative data visualization techniques. You’ll also ensure the delivery of high-impact analytical insights while collaborating with cross-functional teams to improve processes and align technical solutions with business objectives.
Key Responsibilities May Include:
- Lead, coach, and develop a team of professionals, providing clear direction and fostering their growth while ensuring alignment with business goals.
- Manage the full analytical lifecycle, from scoping and data collection to analysis, modelling, and reporting, ensuring projects are delivered on time and meet key milestones.
- Partner with key stakeholders to align data solutions with business objectives, supporting both tactical decision-making and long-term strategic initiatives.
- Apply advanced analytics techniques to extract actionable insights from both structured and unstructured data, identifying trends, patterns, and key business drivers.
- Develop innovative metrics, reports, and visualizations that translate complex data into meaningful insights to inform strategic decision-making.
- Synthesize and present analytical findings in clear, visually compelling reports and dashboards, making complex data accessible to business stakeholders.
- Ensure data accuracy, integrity, and consistency by implementing rigorous quality control processes across all analytics and reporting activities.
- Champion the use of standardized KPIs and educate end users on best practices to maintain a cohesive reporting and analytics framework, ensuring alignment with data privacy frameworks.
Experience:
- Extensive technical experience with Power BI and ThoughtSpot.
- Strong technical expertise in data modelling, visualization, and analytics.
- Proven ability to lead and mentor technical teams.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- Setting team objectives aligned with organizational goals.
- Resource planning and allocation.
- Performance evaluation and feedback.
Qualifications:
- Bachelor's degree in Data Science, Computer Science, or a related field; advanced degree preferred.
Skills and Knowledge:
- Advanced SQL for complex querying and data manipulation.
- Statistical analysis and hypothesis testing.
- Data cleaning, transformation, and validation techniques.
- Experience with large-scale datasets and distributed computing.
- Tooling & technologies: Power BI, ThoughtSpot, Databricks.
- Python or R for data analysis and modelling.
- Version control (Git).
- Basic understanding of software development practices.
- Familiarity with API integration and data pipelines.
- Automation of reporting and analysis.
- Business intelligence frameworks.
- Data governance principles.
- Data quality assessment frameworks.
- Managing end-to-end analytical projects.
- Establishing project timelines and deliverables.
Remote Type: Hybrid Remote
Skills to succeed in the role:
- Adaptability, Critical Thinking, Cross-Functional Work, Data Analytics, Data-Driven Decision Making, Data Visualization, Digital Literacy, Emotional Intelligence, Feedback, Inclusive Leadership, Innovation, Inspiring Others, Learn From Mistakes, Mentorship, Microsoft Power Business Intelligence (BI), Motivating Teams, Prioritization, Python (Programming Language), SQL Tools, Stakeholder Engagement, Strategic Thinking, Tableau (Software), Talent Development.
We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential.
Senior Principal Data & Insights in Manchester employer: Brambles
Contact Detail:
Brambles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Data & Insights in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at CHEP on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role like the Senior Principal Data & Insights.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills, especially in Power BI and ThoughtSpot. Be ready to showcase how you've used these tools to drive data-driven decisions in past roles.
✨Tip Number 3
Showcase your leadership skills! Think of examples where you've led teams or projects successfully. CHEP values mentorship and team development, so highlight your experience in coaching others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the CHEP team.
We think you need these skills to ace Senior Principal Data & Insights in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in tools like Power BI and ThoughtSpot. We want to see how you can leverage these skills to drive data-driven decision-making, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Senior Principal Data & Insights role. Align your experience with the key responsibilities mentioned in the job description, showing us how you can contribute to our goals.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to convey your technical knowledge and problem-solving abilities. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at CHEP!
How to prepare for a job interview at Brambles
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and ThoughtSpot. Be ready to discuss specific projects where you’ve used these tools to drive data-driven decisions. Highlight your experience with data modelling and visualisation techniques, as this will show your technical expertise.
✨Showcase Your Leadership Skills
Prepare examples of how you've led and developed teams in the past. Discuss your approach to mentoring and coaching, and how you align team objectives with business goals. This is crucial for a role that involves managing professionals and fostering their growth.
✨Communicate Complex Ideas Simply
Practice explaining technical concepts in a way that non-technical stakeholders can understand. Use clear examples and visuals if possible. This will demonstrate your strong communication skills and your ability to make complex data accessible.
✨Emphasise Your Problem-Solving Skills
Be prepared to discuss specific analytical challenges you’ve faced and how you solved them. Highlight your attention to detail and your experience with data cleaning and validation techniques. This will show that you can manage the full analytical lifecycle effectively.
