About Company
BHP Group is a world-leading resources company. We extract and process minerals, oil, and gas, with operations spanning across the globe. Our purpose is to bring people and resources together to build a better world, and we are committed to sustainable practices, innovation, and creating long-term value for our stakeholders. With a history stretching back over 130 years, BHP is at the forefront of the natural resources industry, driving progress through our diverse and talented workforce. We foster a culture of safety, integrity, respect, and high performance, offering unparalleled opportunities for career growth and development in a dynamic global environment.
Job Description
Are you a highly analytical and detail-oriented individual with a passion for transforming data into actionable insights? BHP Group is seeking a talented Data Analyst to join our team, focusing on optimizing operations and strategic decision-making within our diverse portfolio. In this pivotal role, you will be instrumental in collecting, analyzing, and interpreting complex datasets to identify trends, forecast outcomes, and support our business units in achieving their objectives. This is an exciting opportunity to contribute to a global leader, working with cutting-edge tools and a collaborative team to drive efficiency, innovation, and sustainable growth. You will be responsible for developing and maintaining robust data models, creating compelling visualizations, and presenting your findings to stakeholders across various levels of the organization. If you thrive in a fast-paced environment and are eager to make a tangible impact, we encourage you to apply and become a part of our future-focused team.
Key Responsibilities
- Collect, clean, and analyze large, complex datasets from various sources to identify patterns, trends, and anomalies.
- Develop and maintain dashboards, reports, and data visualizations to communicate key insights effectively to stakeholders.
- Perform statistical analysis and build predictive models to forecast business outcomes and inform strategic decisions.
- Collaborate with cross-functional teams, including operations, finance, and technology, to understand data needs and deliver tailored analytical solutions.
- Identify opportunities for process improvement and data-driven optimization across business functions.
- Ensure data accuracy, integrity, and compliance with company policies and industry best practices.
- Present findings and recommendations to management and team members, translating complex data into clear, actionable insights.
Required Skills
- Proficiency in SQL for data querying and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI, QlikView).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Proficiency in Microsoft Excel for data analysis and reporting.
- Familiarity with statistical analysis techniques.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Information Systems, or a related quantitative field.
- Experience with Python or R for data analysis and statistical modeling.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
- Prior experience in the mining, resources, or heavy industry sectors.
- Understanding of data warehousing concepts and ETL processes.
- Experience with A/B testing and experimental design.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) matching program.
- Generous paid time off and holidays.
- Professional development and training opportunities.
- Employee assistance program.
- Access to a global network of professionals and mentors.
- Wellness programs and resources.
How to Apply
Interested candidates are invited to submit their application by clicking the link below. Please ensure your resume highlights your relevant experience and skills for this role. We thank all applicants for their interest, however, only those selected for an interview will be contacted.