Senior Advisor
5 days ago
Why explore
- An exciting opportunity to be part of a leading global mining company that produces and supplies materials that are essential to human progress
- An opportunity to work with key stakeholders in our global commercial hub Work on Rio Tinto's top priorities and deliver lasting sustainable impact
- Gain exposure across our global commercial business
- Based in Singapore, a global commercial hub for Rio Tinto
About the role
We are looking for an experienced Senior Advisor - Data & Analytics to drive data-driven decision-making and optimize our data architecture within the mining industry. This role will design, implement, and govern enterprise-wide data solutions. The ideal candidate will have experience managing big data, developing robust data pipelines, and designing a secure data approach across various business domains, including production, supply chain, and finance.
Reporting to the Manager Digital Engineering & Analytics, you will:
- Enforce data governance policies to ensure compliance with industry regulations and internal standards.
- Implement role-based access control (RBAC) and data encryption strategies to protect sensitive information.
- Establish data cataloging, classification, and lineage tracking to enhance data visibility and trustworthiness.
- Design & implement conceptual, logical, and physical data models to support business analytics and operational reporting.
- Ensure data quality, consistency, and lineage across enterprise systems.
- Implement metadata management, master data management (MDM), and reference data management practices.
- Design and develop scalable data pipelines to ingest, process, and store structured and unstructured data from internal and external sources.
- Implement big data technologies to manage high-volume, high-velocity mining data efficiently.
- Optimize ETL/ELT processes for real-time and batch data processing.
- Work closely across functions teams to understand data needs and develop effective solutions.
- Liaise with external vendors and partners to integrate third-party data sources into the enterprise ecosystem.
- Provide guidance on best practices for data management and analytics to cross-functional teams.
About you
- To be successfully considered for this role, you will have:
- Bachelor's Degree in relevant discipline.
- 5+ years of experience in data analytics - engineering, data modeling, data analytics, or a related field.
- Proven experience in big data processing and working with technologies such as Apache Spark, Hadoop, Snowflake, Databricks, or AWS/GCP/Azure data platforms.
- Strong expertise in SQL, Python, or Scala for data processing and transformation.
- Experience designing and implementing data governance frameworks and security measures.
- Hands-on experience with ETL/ELT tools and modern data warehousing solutions.
- Deep understanding of data security, privacy, and compliance within an enterprise setting.
- Excellent communication and stakeholder management skills.
- Experience in the mining or natural resources industry is a plus.
It will also be beneficial if you have the preferred Certifications:
- Databricks Certified Data Engineer Professional
- Microsoft Certified: Azure Data Engineer Associate
- Certified Data Management Professional (CDMP)
- ISO 27001 Lead Implementer
Management Skills
Apache Spark
Scala
Data Analysis
Big Data
Pipelines
Data Management
Supply Chain
Data Governance
Data Mining
SQL
Attention to Detail
Python
Data Science
Encryption
Data Analytics
Master Data Management
Mining
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