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# Data Analyst

- **Company:** CHEP
- **Location:** Orlando, FL, United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Data Presentation, Data Visualization, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Tableau (Software), Unstructured Data, Data Analytics, Qlikview, Programming Languages
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c551eea5852f0bae

## About the Role

* 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., 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

## Description

* 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., 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