Job Location: Gurgaon
Analyst – HR Perf Reporting & Analytics
- Excellent opportunity for an experienced professional
- Be a part of one of the world’s leading mining organisations
- Working with a diverse team
About the role
All progress begins with pioneers. At Rio Tinto, it begins with you.
We are looking Analyst – HR Perf Reporting & Analytics in the People Experience, Digital division based out of Gurgaon, to support the delivery of processes and ensuring a performance driven organization with a commercial intent that focuses on customer satisfaction.The purpose of this role is to assist in providing a range of human resource data management and analytics services to employees, line leaders and human resources.
What the role entails
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 achieving 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 line: Senior Adviser, HR Reporting & Tools
Scope: Your scope will include (but not limited to) below
- Provide support to the human resources team with ongoing data and reporting activities and special projects as needed.
- Define, implement, support and report the Key Performance Indicators (KPIs) for Rio Tinto customers (Human Resources & RT Leaders). Triages support for customer ad hoc requirements.
- Perform data discovery, analysis, and profiling to validate the business requirements, providing inputs into the functional design
- Develop visualization, dashboards and reporting solutions as well as providing generic support/change requests.
- Implement PowerBI base dashboards, scorecards, and reports to enhance understanding and usability
- Automate existing manual wokflow and increase efficiency in delivery through ETL tools such as Easymorph
- Build tools that transform calibrated data into CSOD upload files. Data extraction and transformation using common systems – for example SAP BW
- Identify data quality and integrity issues to discover fit for purpose data sets. Ensure compliance with human resource reporting quality standards.
- Work as a thought partner with the business and senior members of the team in determining relevant data & analytics use cases, developing proof of concepts and scaling them as strategic long-term offerings to group services stakeholders
- Identify, analyse, and interpret trends or patterns in complex data sets. Carrying out data deep dives and analysis per management requests and communicating technical outcomes to non-technical audience
- Ensure proper source control, document best practices and quality assurance processes are implemented and followed to maintain resilience & process integrity
- Discover issues with data accuracy, caused by system and human errors, provide recommendations for improvement
- Maintain and implement data governance and confidentiality framework to protect employee data.
What you’ll bring
To succeed in this role, you will need:
- Overall, 1-5 years of experience in a global organization with multi-cultural discipline
- Experience of working in the high-performance data engineering team environment
- Knowledge of MS Excel (Pivot tables, analytical functions, macros), Power point, Power BI
- Understanding of process documentation principles
- Proven communication & writing skills; be able to tell the story behind the data
- Diligence and attention to details
- Ability to manage and deliver routine deliverables on strict monthly operational timelines along with special business projects
- Stakeholder and customer management
- Preferred if the candidate has experience with tools such as Tableau, PowerBI, DAX, Easymorph and SQL, SSIS , Informatica
It will also be beneficial if you have:
- Strong SQL skills with proficiency in data modelling & data warehousing concepts
- Experience of working with cloud data warehouse platforms such as Amazon Redshift/MS Azure
- Exposure to scripting language such as R/Python
- Familiarity with machine learning algorithms and underlying statistical techniques: regression, classification, scenario modelling, clustering etc.
- Experience within and/or exposure to shared services (captive and outsourced) will be an asset
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 – generations of people spanning the globe, all with the grit and vision to produce materials essential to human progress.
Our iron ore has shaped skylines from Shanghai to Sydney. Our aluminium – the world’s first to be certified “responsible” – helps planes fly and makes cars lighter. Our copper helps wind turbines power cities and our boron helps feed the world and explore the universe. Our diamonds help us celebrate the best parts of life.
Where you’ll be working
The Rio Tinto office in Gurgaon (India) is one of our corporate hubs and houses service and support functions, as well as a portfolio of product groups including; Copper, Iron Ore, Diamonds, Minerals, Exploration, Safety Technical & projects and IA Strategy & Development.
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.
So, if this sounds like you and the opportunity you are looking for, apply now or before 15th April, 2022.
Please note, in order to be successfully considered for this role you must complete all pre-screening questions.
If you would like to know more about careers at Rio Tinto, you can like us on Facebook, follow us on Twitter or join us on LinkedIn.
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