Senior Analyst - Asset Management

Rio Tinto; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Rio Tinto is seeking a Senior Analyst - Asset Management in Bengaluru to manage maintenance master data across SAP PM, ERP and MDM systems. You will collaborate with business and technical teams to resolve data issues and drive data governance and quality improvements.

The role requires hands-on SAP PM experience, strong analytical abilities and stakeholder engagement to ensure accurate asset records and reliable performance.

Qualifications

• Mechanical or Electrical Engineering or related engineering degree.
• Experience in master data management or data governance (4–6 years).
• Hands-on with SAP PM and data management tools.

Responsibilities

• Manage and update maintenance master data across SAP PM, ERP and MDM systems.
• Maintain functional locations, equipment records and bills of materials.
• Conduct data quality assessments and support audits.
• Support data governance and continuous improvement initiatives.
• Collaborate with business and technical teams to resolve data issues.
• Lead smaller data projects and contribute to larger initiatives.

Skills

SAP PM

Data governance

Data quality

Analytical skills

Stakeholder engagement

Power BI

SQL databases

Education

Mechanical or Electrical Engineering degree

Bachelor’s/Diploma/ITI in Engineering, Information Systems or Asset Management

Tools

SAP Manage Physical Assets

ERP systems

Job description

• Great opportunity to contribute to Asset Management master data operations and governance
• Manage complex maintenance master data across SAP PM, ERP and MDM systems
• Support data quality assessments, audits, governance and continuous improvement initiatives
• The role is based in Bengaluru

• Great opportunity to contribute to Asset Management master data operations and governance
• Manage complex maintenance master data across SAP PM, ERP and MDM systems
• Support data quality assessments, audits, governance and continuous improvement initiatives
• The role is based in Bengaluru

About The Role

We are looking for an analytical and collaborative Senior Analyst - Asset Management to manage complex Asset Management master data activities across SAP PM, ERP and MDM systems.

The selected individual will work with business and technical teams to resolve data issues, maintain critical maintenance master data, support governance implementation and improve data quality across the Asset Master Data and Asset Readiness disciplines.

What the role entails

The role is a great opportunity for a professional with experience in Asset Management, SAP PM, maintenance master data and data governance.

Success in this role will require strong analytical capability, sound problem-solving skills and the ability to manage priorities with moderate autonomy.

The successful candidate will maintain functional locations, equipment records and bills of materials, conduct data quality assessments, support audits and contribute to continuous improvement initiatives.

The role will also involve supporting smaller data projects, collaborating on larger initiatives and working with business teams to define requirements and resolve master data issues.

Reporting line

Senior Advisor - Asset Management

Function

Asset Management | Master Data Management

Scope

Your scope will include, but is not limited to, the following

Asset master data management

• Manage and update maintenance master data across SAP PM, ERP and MDM systems in accordance with defined business and data standards.
• Maintain functional locations, equipment records and bills of materials to defined data-quality standards.
• Support the maintenance of maintenance plans, task lists and measurement points.
• Prepare asset, downtime, performance and cost data for analysis and reporting.
• Apply defined master data taxonomy, naming conventions and data-quality requirements consistently

Data quality and continuous improvement

• Conduct data quality assessments and identify process deviations.
• Support defect elimination, data cleansing and continuous improvement activities.
• Identify recurring data-quality concerns and contribute to practical improvement recommendations.
• Lead smaller data projects and collaborate with team members on larger improvement initiatives.
• Contribute ideas for process improvement and support their implementation.

Compliance, controls and risk management

• Support the implementation of data governance and compliance policies.
• Monitor data integrity across the relevant Asset Management systems.
• Conduct routine audits and elevate data-quality or compliance concerns appropriately.
• Help ensure that maintenance master data remains accurate, consistent and aligned with relevant standards.
• Maintain awareness of the impact that incorrect or incomplete master data may have on maintenance and reliability activities.

Stakeholder engagement

• Work with business teams to understand data requirements and resolve master data issues.
• Collaborate with technical and functional stakeholders across Asset Management activities.
• Contribute to reports, presentations and data-quality improvement recommendations.
• Communicate factual and technical information clearly and concisely.
• Manage assigned priorities independently while escalating concerns when required.

Team contribution and capability development

• Support FMEA/FMECA and Root Cause Analysis data workshops.
• Build knowledge of reliability methodologies and integrated system requirements.
• Share knowledge and learning with colleagues.
• Collaborate effectively with team members and cross-functional stakeholders.
• Contribute positively to team learning and continuous improvement activities.

About Yourself

• A Mechanical or Electrical Engineering degree, or a bachelor’s degree/Diploma/ITI in Engineering, Information Systems, Asset Management or a related field.
• Between four and six years of engineering experience.
• Three to four years of experience in master data management or data governance.
• Knowledge of Asset Management and reliability fundamentals.
• Hands-on experience with SAP PM transaction codes and data management tools.
• Strong experience with SAP Manage Physical Assets or the SAP PM module.
• Practical experience managing functional locations, equipment records and bills of materials.
• Knowledge of maintenance plans, task lists and measurement points.
• Experience in master data management, data governance and data-quality assessment.
• Experience supporting data-quality audits, cleansing and defect-elimination activities.
• Strong analytical and problem-solving capabilities.
• Excellent communication, collaboration and stakeholder-engagement skills.
• The ability to manage priorities with appropriate independence.
• Strong computer literacy and proficiency in Microsoft Excel.

Desirable experience

• Knowledge of SAP Materials Management processes.
• Knowledge of reliability engineering principles.
• Understanding of preventative maintenance processes and systems.
• Knowledge of maintenance shutdowns and shutdown cycles.
• Experience in MPA master data and long-term or short-term maintenance planning.
• Trade or engineering qualifications.
• Exposure to FMEA/FMECA and Root Cause Analysis data requirements.
• Proficiency in Power BI, SQL databases or similar data analysis and reporting tools.
• Exposure to project management activities.

About Rio Tinto

Every idea, every innovation, every little thing the world calls "progress" begins with a first step and someone willing to take it explorers, inventors, entrepreneurs. Pioneers.

For nearly 150 years, Rio Tinto has been a company of pioneers, comprising generations of people across the globe with the grit and vision to produce materials essential to human progress.

Where you’ll be working

The role is based in Bengaluru, India.

The successful candidate will work with Asset Management, business and technical teams to maintain reliable asset master data and support data governance, maintenance and reliability outcomes.

Every Voice Matters

We are committed to an inclusive environment where people feel comfortable being themselves. We want our people to feel that all voices are heard, all cultures are respected and a variety of perspectives are not only welcome but also 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.

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.

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.

Respect and Inclusion

At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQ+ 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.