Enable the delivery of data interoperability across the entire mining industry value-chain
Ensure data definition classification, definition overlap, and versioning are managed
Identify and assist in defining new high-value data definitions for data science applications
Proactively understand reporting needs
Developing data infrastructure
Implementing security and privacy measures
Work with BI report developers to identify gaps or improvements to data definitions.
Work autonomously, but also align with the dynamic global team from Perth, Australia
Working with agile methodologies and industry best practices
Develop a deep understanding of the domain and target audience
Assist with other software development tasks as required, e.g., documentation
Take responsibility for resolving technical product issues.
Assist with estimating iterations and product releases.
Seek ways to improve data management and development processes.
Align with the objectives of the Mining division of HCCI
Educational QualificationsBachelors degree in Data Science, Business Administration or related field.OverviewHexagon Mining, the leader in providing open pit and underground solutions for the Mining industry has an immediate opening for a Senior Data Analyst. You will be responsible for working as part of an Agile Scrum team to develop technologically advanced data analytics applications for the Mining industry. You will be responsible for Hexagons One Platform interoperable data vision. You will have a proven track record as a Data analyst, and you will have the opportunity to change an industry , to enable that industry to improve how it works with data across the entire value chain. If you have a passion for analyzing data to uncover valuable insights and drive real-world impact, this is the position for you.ABOUT Hexagon MiningHexagon Mining, part of Hexagon AB, is a global leader in the Mining Industry helping to connect all parts of a mine with technologies that make sense of data in real time. Hexagon Mining division brings surveying, design, fleet management, production optimization, and collision avoidance together in a life-of-mine solution that connects people and processes. Our customers are safer, more productive and can make sense of their data.ABOUT HCCIHexagons Capability Center India (HCCI) is a key global technology R&D hub for Hexagon. Ground-breaking innovations, consistent deliveries, and ever-evolving technologies at HCCI have helped Hexagons various units grow their businesses and customer bases around the world.HCCI (previously known as Intergraph Consulting Pvt. Ltd) - one of the earliest IT companies in the city of Hyderabad has a rich, 32-year history and currently employs a 1,800+ workforce. It is a valued pillar of the Hexagon Group, providing a competitive advantage to the overall enterprise.Skills RequiredWhat Youll Need
Minimum 4 years of experience in software development
Data Management and Analysis:
Integrating and cleaning data to make it fit for purpose.
Identifying, validating, and utilising available data sets generated from a diverse range of processes.
Developing hypotheses and exploring data using models and analytics sandboxes.
Provides advice and guidance to others using the data structures and associated components.
Understanding of the principles, tools, and programs required for data analysis, reporting, analytics, visualization and/or machine learning
Experience in analysing data
Developed plans to show how identified user needs will be met
Experience in writing and maintaining technology and data documentation
Experience in database design and TSQL using PostgreSQL and SQL Server
Experience in JIRA and Confluence to collaborate with the product teams
Capable of effectively working with multiple stakeholders in cross-cultural, global teams
What Would Be Nice
Experience working with data standards that have been defined
Experience conducting data analysis and preparing a report
Experience with coding such as SQL, NoSQL, and Python.
Experience with cloud platforms such as Azure/AWS
Experience in working with data warehouses and data lakes
Experience with Docker/Kubernetes/Containers
Knowledge of design principles and quality processes
Knowledge of stored procedures, indexing, and performance optimization
Knowledge of connecting databases with reporting tools such as Tableau or Power BI