The Data Analyst will be responsible for delivering timely, trusted, and actionable insights that support strategic decision-making and operational excellence. The role will also contribute significantly to advancing the organization's analytics maturity by empowering business users to adopt self-service data platforms, generate insights independently, and cultivate a decentralized, data-informed culture supported by adaptive data governance.
This position is essential in bridging the gap between raw data and business outcomes - both through hands-on analysis and by enabling others to do the same.
Responsibilities
Self-Service Training & Co-Building Dashboards
- Deliver structured training programs to empower citizen developers in self-service analytics using Power BI. Facilitate co-building of interactive, trusted dashboards and leverage Microsoft Fabric for scalable deployment and governance.
Business Metrics Documentation
- Develop and maintain well-defined business metrics, KPIs, and terminology within shared catalogs or semantic layers to ensure alignment, consistency, and transparency across teams.
Insight Summaries & Performance Reporting
- Prepare periodic performance summaries, trend analyses, and insight reports that translate complex data into clear, actionable business recommendations.
Enablement & Education Materials
- Create and maintain training content, enablement guides, and user education sessions to drive sustained analytics adoption and data literacy across the organization.
Business Partnering
- Collaborate with business stakeholders to understand priorities, align analytics initiatives with strategic objectives, and ensure that insights directly support operational and commercial outcomes.
Required
Qualifications & Competencies:
- Bachelor's or Master's in Business Analytics, Information Systems, Computer Science, or a related discipline.
- Minimum 4 years of experience in data analysis, business intelligence, or performance reporting.
- Demonstrated ability to translate business questions into actionable insights using data.
- Excellent communication and stakeholder engagement skills, including training and support for non-technical users.
- Strong understanding of data modeling, KPIs, and operational processes (e.g., sales, supply chain, finance)
Technical Competencies
- Proficiency in SQL, data wrangling, and transformation.
- Hands-on experience with data visualization tools (e.g., Power BI) and data platforms (e.g., Microsoft Fabric or similar).
- Familiarity with semantic models and reusable analytical layers for business users.
At NS BlueScope our success comes from our people. We choose to treat each other with trust and respect. We understand that the range of perspectives that result from having a diverse and inclusive workplace will strengthen NS BlueScope's capability for continued and sustained business success.
