Job description

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. What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model . Job Description Key Responsibilities May Include: Analyze complex, high-volume data from various sources using diverse tools and techniques to derive actionable insights. Develop and maintain high-quality standardized outputs, including visualizations and dashboards, that translate complex data into clear, business-relevant insights. Respond to ad-hoc analysis requests by developing new reports or dashboards as needed, ensuring accuracy and relevance. Support the ongoing delivery of regular KPI reports, maintaining accuracy and relevance to business needs. Synthesize analytical findings into meaningful insights, presenting data in an easy-to-understand format for diverse business audiences. Collaborate with cross-functional teams to understand their analytical needs, define requirements, and deliver data-driven insights that support decision-making. Continuously seek to improve reporting processes by staying up to date on industry trends and best practices in data analysis and insight generation. Provide technical support and training on analytical tools and methodologies to empower business stakeholders in their use of data-driven insights. JOB DESCRIPTION You will make a tangible impact on our internal and external customers by building data-driven solutions and providing high impact analytical insights and recommendations. You will be a trusted advisor and empowered to put Customer at the heart of decision making, and an ambassador for Data Analytics across Digital and the wider Data Analytics Community KEY ACCOUNTABILITIES • Utilize your inquisitive mindset, analytical skills & ask the right questions to understand complex business challenges • Develop and implement analytics aligned with the business needs and in accordance with best practices • Use Statistical experience and Business knowledge to solve complex business challenges • Interrogate, manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and analytical techniques • Build engaging and interactive visualizations using state of the art methods • Provide and concisely communicate high quality deep dive analysis with clear recommendations and actionable insight • Collaboratively work within a squad to deliver solutions by defining and designing Data Analytics tasks (for example, data requirements, output, success criteria, timescales) • Provide guidance on KPIs and best practice in reporting and analytical problem solving • Embed data analytics in Product solutions SKILLS • Experience in turning data into insight and recommendations for action. • Working across structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets • Experience in clearly communicating (verbal and written) Insight to technical and non-technical Stakeholders • 1-3 years of Data Analytics experience • SQL • BI tools such as QlikView, Tableau, or Power BI • Understanding of Python or transferrable coding languages We will consider candidates ranging from recent graduates to those with more experience. A commitment to continuous learning will be essential to succeed in this role. As an inclusive employer, Brambles wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform your Talent Acquisition Partner of any reasonable adjustments you might need to enable this to happen. Remote Type Hybrid Remote Skills to succeed in the role Adaptability, Critical Thinking, Data Analytics, Data Visualization, Empathy, Experimentation, Microsoft Excel, Microsoft Power Business Intelligence (PBI), Python (Programming Language), SQL Tools, Tableau (Software), Taking Ownership, Teamwork, Understand Customers 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. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at recruitment brambles.com.

Requirements

Must-haves

Analyze complex, high-volume data from various sources using diverse tools and techniques to derive actionable insights.
Develop and maintain high-quality standardized outputs, including visualizations and dashboards, that translate complex data into clear, business-relevant insights.
Respond to ad-hoc analysis requests by developing new reports or dashboards as needed, ensuring accuracy and relevance.
Support the ongoing delivery of regular KPI reports, maintaining accuracy and relevance to business needs.
Synthesize analytical findings into meaningful insights, presenting data in an easy-to-understand format for diverse business audiences.
Collaborate with cross-functional teams to understand their analytical needs, define requirements, and deliver data-driven insights that support decision-making.
Continuously seek to improve reporting processes by staying up to date on industry trends and best practices in data analysis and insight generation.
Provide technical support and training on analytical tools and methodologies to empower business stakeholders in their use of data-driven insights.
Utilize your inquisitive mindset, analytical skills & ask the right questions to understand complex business challenges
Develop and implement analytics aligned with the business needs and in accordance with best practices
Use Statistical experience and Business knowledge to solve complex business challenges
Interrogate, manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and analytical techniques
Build engaging and interactive visualizations using state of the art methods
Provide and concisely communicate high quality deep dive analysis with clear recommendations and actionable insight
Collaboratively work within a squad to deliver solutions by defining and designing Data Analytics tasks (for example, data requirements, output, success criteria, timescales)
Provide guidance on KPIs and best practice in reporting and analytical problem solving
Embed data analytics in Product solutions
Experience in turning data into insight and recommendations for action.
Working across structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets
Experience in clearly communicating (verbal and written) Insight to technical and non-technical Stakeholders
1-3 years of Data Analytics experience
BI tools such as QlikView, Tableau, or Power BI
Understanding of Python or transferrable coding languages
Hybrid Remote

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: workday
Effort: long