At Rio Tinto

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Responsible for the definition and analysis of Data requirements, for managing embedding of data solutions, for improving quality of reporting data, for consulting on improvement opportunities and to facilitate common reporting and data processes at operating sites. This role will work closely with Business stakeholders on initiatives like the RBM Optimisation Centre and other Big Data analysis & Improvement projects

Accountabilities :

Manage the regions Data & Analytics landscape :

 

  • Work with various teams & group in the BU in identifying data, reporting & analytics opportunities, including solution design, data extraction, development and test executions, leveraging Rio Tinto’s Enterprise analytics platforms and toolsets, within established deadlines.

  • Focus on delivery of mobile solutions for reporting & analytic to drive faster decision for the business.

  • Design and develop data models, visualization dashboards, and presenting solutions to the business using Rio Tinto internal services or Partner & vendor external services.

  • Developing and updating procedures related to data collection and analytics. Help the BU establish standards and work practices to be shared at the site.

  • Be an active member of the Rio Tinto Enterprise data, analytics and reporting community of practice, contributing and where possible leveraging enterprise platforms, toolsets and best practices.

  • Provide consultancy services / advice on solutions & platforms internal to Rio Tinto or on the market

  • Support existing data, reporting and analytics solutions & work with site on improvement

  • Provide input into the 5 year capex plan to gain maximum value by having a clear view of the data flows and bottlenecks

  • Conduct data quality reviews by process and facilitate relevant actions

  • Coach users on data management methods, standards and tools

    Qualifications :

  • Technical expertise in data modelling techniques, database design development and data mining and analysis.

  • Experience must include strong skills in research, analysis and data management. Experience with writing and interpreting SQL queries and statements to explore source data and data issues.

  • Strong knowledge of and experience with front-end reporting packages (Business Objects, Power BI, Tableau, Excel, TrueView).

  • Working knowledge of data warehouse / data lake concepts.

  • Previous experience with data analytics over large data sets is highly desirable.

  • Technical experience with SAP, and/or various other ERP or business critical applications.

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