Principal Data Analytics

At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.

Come and be a part of this success.

• About the Role

As a Data Analytics, you will play a key role supporting Digital Factory projects that fundamentally change BHP's performance across safety, productivity, and people performance. The Digital Factory is BHP's approach to rapid design and development of digital products (software-focused, mínimal or no hardware) that provide machine learning and model-based solutions to operational challenges that are currently being addressed through manual methods.

The work :

The Data Analytics will be critical in the successful development and implementation of a digital platform with analysis, trends, meaningful insights from various different sources (historical data of equipment, predictions from models, etc.) and, as an important support tool for decision making at the heart of the Digital Factory solutions.

As such, the Data Analytics is accountable for the quality of the insights and their overall outputs as part of the broader digital solution development team. Key accountabilities include :

• Understanding business problems and designing end-to-end analytics use cases
• Developing complex analysis and visualizations that drive innovation throughout the organization. This may include improving equipment performance, enhanced scheduling, optimization opportunities, anomaly detection, etc.
• Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance
• Collaborating with model developers to implement and deploy scalable solutions
• Collaborating with product software teams to ensure model functionality using cloud solutions and monitoring the quality and effectiveness of the models in operations.
• Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
• About You
• Deep knowledge of analytics techniques, statistics, optimization, or related field as evident through a tertiary higher education degree and several years of industry experience
• Experience working with large data sets, simulation / optimization, and distributed computing tools
• Experience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
• Excellent analytics techniques, including problem solving, hypothesis validation and developing high complex visualization dashboards in Power BI
• Experience Proficiency in R, Python additional knowledge of other statistical software (SPSS, RapidMiner, etc.) is helpful
• Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.) is highly appreciated
• Excellent scientific computing skills, including creativity in the design and development of efficient algorithms.
• Experience or interest in working in a team environment, with ability to manage competing deadlines.
• Evidence of well-developed written and verbal communications skills. Ability to communicate technical contents to non-technical audience.
• Attitude to thrive in a fun, fast-paced start-up like environment
• About Our Process

At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and / or reference checks.

• Supporting a Diverse Workforce

The size and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and a unique BHP employee share program.