Hardware Field Test Engineer - Manchester (Hybrid)

By combining state-of-the-art data science techniques, cutting-edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent and efficient supply chain. We’re creating value from massive, connected data. Our unmatched insights illuminate more than 300,000 supply chains, more than a million customers and partners, and over 300 million physical assets that are constantly on the move around the world.

CHEP is a Brambles / BXB Digital company, the global leader in supply chain logistic solutions operating through the CHEP brand. Brambles Limited is listed on the Australian Securities Exchange (ASX) and has its headquarters in Sydney, Australia. Operating in more than 60 countries, with its largest operations in North America and Western Europe, we employ more than 14,500 people and owns over 550 million pallets, crates and containers through a network of approximately 850 service centres.

HARDWARE FIELD TEST ENGINEER

POSITION PURPOSE

The Field Test Engineer will perform data analysis for IoT hardware during field testing or from deployment activities.

This role is ideal for a person with insight and data analysis experience in a product testing or validation function, or a want to learn testing and validation functions.

This position is crucial for the team to effectively deliver valuable analysis and insights to drive key IoT hardware business decisions.

SCOPE

This position will be testing or validating IoT Hardware performance for field testing or deployment activities. This position will need to learn IoT hardware operations to effectively analyze performance.

This person will execute or support other team members in complex data analysis. This role will also perform test/validation activities as assigned.

MEASURES

• Analyze data and deliver accurate, meaningful, and insightful recommendations.

• Provide data analysis charts, graphs, data tables, or other documentation for collaboration and report outs to key stakeholders and leaders.

• Execution of assigned testing or validation activities.

• Improvement of overall team data analysis capabilities

MAJOR / KEY ACCOUNTABILITIES

• Knowledge gain and understanding of key hardware functions

• Develop, execute, analyze and report out on assigned test/validation activities.

• Be team’s data analysis expert, execute or support complex data analysis accurately and generate insights according to test/validation plan’s deliverables.

• Improve team’s overall data analysis tool usage and experience.

• Documenting and updating results and insights to Jira/Confluence or other similar document reporting system. • Provide tables, graphs, or other documents to report out results and insights to key stakeholders and leadership.

CHALLENGES / PROBLEM SOLVING

• Collaborate effectively with diverse regional and global team members operating remotely.

• Manage multiple concurrent activities efficiently.

• Analyze extensive volumes of both structured and unstructured data.

• Apply critical thinking and analytical skills to varying testing and validation scenarios, often relying on Ad Hoc data.

• Acquire a foundational understanding of IoT hardware functions to enhance insightful analysis.

• Effectively communicate findings to both technical and non-technical stakeholders to facilitate informed decision-making and support learnings.

AUTHORITY / DECISION MAKING

• Test/validation plan budget, materials, and resources to execute testing.

• Influence team leadership on how to improve overall team data analysis capabilities.

• Validating/confirming IoT test/validation success criteria was achieved.

KEY CONTACTS

• Technical Program Manager, Hardware testing and validation team members. EDGE and other hardware SME

QUALIFICATIONS

• Test/validation plan development, execution, analysis, and report out experience OR willingness to gain this experience and perform assigned testing/validation activities.

• Self-starter with an inquisitive mindset and an interest in understanding the ‘why’. And learn about IoT device operation basics to aid in better data insight analysis and test/validation plan activities.

• Strong SQL experience to conduct queries and extract data needed for testing/validation analysis.

• Advance Excel skills to perform data analysis.

• Able to analyze various sizes of data sets to discover trends, patterns, and insights to provide validation or actionable activities on IoT hardware performance.

• Create comprehensive data visualization documents/displays that accurately provides metrics or insights to make data driven decisions.

Desirable:

• Experience training people in learning how to use data analysis tools for basic to intermediate levels.

• Experience in introducing data automation to repetitive data analysis tasks.

• A plus, experience using other data analytic tools like, Power BI, Tableau, Python, R, Java, Apache or other tools to extract, transform, analyze, and visualize data.

• Experience in using statistical tools in test/validation plan development and analysis like but not limited to; variance analysis, sample size determination, hypothesis testing or willingness to learn.

EXPERIENCE

• 3+ years of Data Analytics experience in turning data into insights and recommendations for action.

• 2+ years of experience in communicating (verbal and written) insights to technical and non-technical Stakeholders.

• 1+ year of data analysis on IoT hardware, equipment, or other product where operational performance data had to be collected, analyzed, and visualized.

SKILLS AND KNOWLEDGE

• Excellent teamwork skills, capable of working effectively in a dynamic, cross-functional environment.

• Appetite to explore/gain knowledge on IoT hardware.

• SQL language to be able to extract and load data for analysis. Other tools like Python or R a plus.

• Able to analyze complex data sets to generate metrics and insights

• Create accurate data visualization reports/displays.

The salary range for this position is £48,000 to £66,000 / year. Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy.” Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.