Senior Analyst, People Analytics

About the role:

Permanent position that can be based in Delhi (India), or Ulaanbaatar (Mongolia)

We are looking for a Senior Analyst People Analytics to be responsible for the maintenance and sustainability of People Data and Insights products and data solutions that enable the People Function to make well-informed, evidence-based decisions.

This role is a great opportunity for an experienced individual to support the group’s focus on delivering data & analysis to drive decision making, help foster stronger partnership with internal customers and achieve business excellence. We are looking for an enterprising person with the ability to derive actionable insights from multiple data sources, love for data and statistics, and a willingness to learn and grow.

Reporting to the People Data Solutions Lead and working in a collaborative community within the People Data and Insights division, you will (but not limited to):

As a system support team member (People Data Solutions team):

• Support the maintenance and sustainability of the People Data & Insights products across People Insights, Data Management, Data Science, Data Governance, and Surveys & Research teams
• Manage and prioritize support requests, ensuring timely resolution of incidents and requests
• Provide support to the human resources team with ongoing data and reporting activities and special projects as needed
• Act as a primary point of contact for end-users and stakeholders to provide guidance, advice, and support on People Data & Insights products in production
• Ensure all support processes and procedures are in place and followed to ensure consistent and efficient support
• Identify and implement improvements to support processes and tools to increase the efficiency and effectiveness of the People Data Solutions team
• Actively get involved and monitor the transition process of the data solutions from development to operational
• Continuously monitor the performance and availability of operational data solutions and products, taking proactive steps to prevent incidents and resolve issues
• Get involved in maintenance of the HR Lakehouse (Databricks) and data solutions built within it As a member of the People Data and Insights team member:
• Discover issues with data accuracy, caused by system and human errors, provide recommendations for improvement
• Identify data quality and integrity issues to discover fit for purpose data sets. Ensure compliance with human resource reporting quality standards
• Maintain and implement data governance and confidentiality framework to protect employee data
• Ensure proper source control, document best practices and quality assurance processes are implemented and followed to maintain resilience & process integrity
• Collaborate with internal development teams to resolve complex issues and provide feedback on application design and development
• Continuously learn and get involved in development of data solutions of the People Data and Insights team whenever needed and possible
• Get involved in projects when and wherever necessary

What you’ll bring

• A commitment to the safety of yourself and your team
• Overall, 2-4 years of experience in a global organization with multi-cultural discipline
• Experience of working in the high-performance data engineering and analytics team environment
• Knowledge (mid to expert level) in data extraction and transformation experience using common systems – for example Workday, SAP BW, Databricks, SQL databases, AWS, Cloud services, and others
• Understanding process documentation principles and skilled in version control (e.g., GitHub)
• Knowledge and experience (mid to high level) in data visualization tools such as Power BI, Excel (Pivot tables, analytical functions, macros), Tableau
• Advanced and working knowledge of SQL, Python, PySpark
• Communication & writing skills – ability to tell the story behind the data
• Diligence and attention to details • Ability to manage and deliver routine work on strict timelines along with special business projects It will also be beneficial if you have.
• Working experience in working with Human Resources data and data models, as well as an understanding of data security and data privacy
• Working experience (mid to expert level) in data extraction and transformation experience using common systems – for example Workday, SAP BW, Databricks, SQL databases, AWS, Cloud services, and others
• Proven working knowledge of Python, PySpark, SQL
• Hands-on experience with Databricks, AWS/Azure, Terraform, especially in defining and maintaining ETL pipelines and infrastructure as code
• Familiarity with basic/advanced machine learning algorithms and underlying statistical techniques
• Experience in stakeholder and customer management.

About Rio Tinto
 

Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive.
 

We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win situations and meet opportunities.

Every Voice Matters

At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQIA+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

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