Data Analyst at Orbital

Job Description

Key Responsibilities

• Lead the implementation and optimization of business intelligence platforms (e.g., Metabase) and other analytical tools to ensure seamless user access and data quality.
• Develop and maintain metrics, dashboards, and reports that align with business objectives, enabling data-driven insights for operational and strategic improvements.
• Collaborate with cross-functional teams to design a scalable, modern tech stack for database analysis, querying, and integration with enterprise systems.
• Establish and enforce data quality standards for Orbital's enterprise infrastructure, ensuring reliable data import/replication workflows.
• Build and manage a team of Data Analysts to transform raw data into actionable insights, supporting management decision-making and business priorities.
• Oversee agile delivery processes for the analytics team, implementing systems and protocols to enhance productivity and delivery efficiency.
• Provide leadership in upskilling team members on technical expertise, data analysis methodologies, and Orbital's product domain knowledge.
• Design and deploy an operational framework (e.g., business partner model) to allocate analytics resources effectively across departments.
• Proactively identify opportunities to leverage data for sales growth, revenue optimization, cost reduction, and product performance enhancement.
• Communicate key insights to senior management and stakeholders to support data-led decision-making at all levels.
• Work closely with business units to create production-grade reporting solutions that meet specific data analysis needs.
• Develop data visualisation tools and dashboards to present insights in a clear, actionable format for business priorities.
• Research and implement innovative data analysis techniques to unlock hidden value within Orbital's datasets.
• Ensure alignment between analytics initiatives and organizational goals, fostering a culture of data-driven innovation.
• Collaborate with IT and data engineering teams to maintain system reliability and scalability for analytics operations.

Job Requirements

• Proven experience in leading data analytics teams and managing BI platforms (e.g., Metabase, Tableau, Power BI).
• Strong technical background in data analysis, database management, and enterprise data infrastructure design.
• Expertise in developing data quality frameworks, data governance policies, and data integration strategies.
• Ability to translate business requirements into actionable analytics solutions and reporting tools.
• Excellent communication skills to present complex data insights to non-technical stakeholders and senior management.
• Leadership capabilities to mentor, upskill, and manage a team of analysts in a fast-paced environment.
• Knowledge of agile methodologies and DevOps practices for efficient analytics delivery and system maintenance.
• Experience in building scalable data architectures and ensuring data security across analytical platforms.
• Strong analytical mindset with a focus on problem-solving, data storytelling, and value generation through insights.
• Ability to collaborate with cross-functional teams, including IT, product, and business units, to align analytics initiatives with organizational goals.
• Proficiency in data visualization tools and SQL-based querying for data analysis and reporting.
• Understanding of data pipeline design, data replication strategies, and cloud-based data storage solutions.
• Experience in driving analytics projects from concept to execution, with measurable business impact.
• Knowledge of data governance frameworks and compliance requirements for enterprise data management.
• Ability to develop and maintain documentation for analytical systems, data workflows, and reporting processes.