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CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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.
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Hybrid Work Model
**Job Description**:
Working as a DataOps Analyst, you will be responsible for supporting the operations of our key data platforms, particularly the measurement & reporting of performance of our data processes, root cause and trend analysis of data errors & job fails, and our DataOps performance dashboard.- The work will include working towards these goals, establishing foundations where necessary:
- Curate and collect data on specific performance aspects of our underlying systems.- Deliver analyses & visualizations of audit logs, trends and patterns.- Promoting a performance measurement culture in Brambles Data & Analytics.- Identifying opportunities to measure & report our operations performance.- Work with external vendors to implement performance measurement capabilities.- Manage the live operation of data observability, orchestration & automated testing systems.- Implement operations process changes as required.- Work with stakeholders and users to collect feedback on our data operations.
About you
This role is a technical, individual contributor role. You will be comfortable working to a detailed level with high precision. You will be process-literate with a rigorous approach to documenting and communicating your work, you will be able to interact with people from all functions, and at all levels in the company.
Key Accountabilities- Operate measurement & reporting processes for our data ecosystem.- Work with vendors and technical support partners to resolve issues.- Take accountability for delivering our DataOps Performance dashboard.- Create and maintain new performance reports relating to aspects of Dataops.- Support the implementation and operation of DataOps projects as required.- Influence the evolution of our DataOps strategy.- Evaluate DataOps vendors and tools for potential use.- Solving our DataOps landscape is still evolving and many aspects of our operations and are still to be created or resolved.- This role will involve operating our platforms in a time of rapid change, ambiguity and creating Dataops performance reports and the underlying processes.- Scheduling operations enhancements- Working autonomously / having limited access to immediate manager.- Working in a matrix environment.- Working remotely across multiple time zones.
Experience- Experience in a operations-focused role in a data ecosystem of a large organization- Familiarity with process design and implementation.- Analytical work in relation to systems and their users.- Solid experience of data analysis, visualisation & dashboard reporting.- Familiarity with data engineering, cloud engineering or data science operations.
Skills and Knowledge- Ability to prioritise effectively when working with a high volume of tasks.- Capable of working with a high level of detail whilst retaining accuracy.- Can deal with the time pressure that sometimes comes with Operations tasks.- The operation and management of user-facing business processes
Preferred Education
Bachelors - Computer and Information Science
Preferred Level of Work Experience
3 - 5 years
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.
