Data Solutionist

About

The Data Solutionist is a senior, consultative role that acts as a bridge between business strategy and data delivery. The role is responsible for translating business problems into well-defined data use cases, shaping data products and solutions aligned to the organisation's Information Architecture and ensuring data assets generate measurable business value. The Data Solutionist embeds data thinking into initiatives from inception, influences design decisions, and enables business, BI, and engineering teams to deliver trusted, scalable analytics and insights.

Business & Data Use-Case Definition

• Partner with business stakeholders to understand strategy, objectives, and decision needs.
• Translate business problems into clear data use cases, requirements, and success measures.
• Define and prioritise data products and analytics solutions aligned to business value.
• Develop business cases and value assessments for proposed data solutions.

Data Solution & Data Product Design

Delivery Governance & Compliance

• Ensure solutions comply with internal policies, data governance, statutory, and regulatory requirements.
• Embed data quality, lineage, and stewardship considerations into solution designs.
• Support the definition of end-to-end business and data processes aligned to customer journeys.
• Monitor data solution outcomes and drive corrective actions where expected benefits are not achieved.

Consulting & Stakeholder Engagement

• Act as an internal consultant, providing data-driven recommendations and decision support.
• Facilitate workshops, discovery sessions, and JAD sessions for data product definition and prioritisation.
• Communicate complex data and analytics concepts in clear, business-friendly language.
• Influence stakeholders and support informed decision-making through insights and storytelling.

Analytics & Technology Enablement

• Assess existing data and analytics environments to identify gaps, risks, and improvement opportunities.
• Enable self-service analytics by shaping well-designed BI and analytical data products.
• Support automation, performance optimisation, and cost-efficient use of data platforms.
• Use analytics tools (SQL, Power BI, SAS, Excel, Python/R) to explore data, validate logic, and quantify business problems.

Continuous Improvement & Innovation

• Identify opportunities to improve business processes through data, automation, and innovation.
• Reduce duplication, improve efficiency, and enable reuse of data assets.
• Align improvements with customer feedback, business priorities, and strategic outcomes.

Leadership, Collaboration & Capability Building

• Build strong relationships across business, BI, engineering, and architecture teams.
• Champion best practices, standards, and data product thinking.
• Mentor and coach data engineers, analysts, and solution designers.
• Contribute to a collaborative, inclusive, and high-performance delivery culture.

Core Competencies & Experience

• Bachelor's degree in computer science, Information Systems, Engineering, or related field.
• 8+ years' experience in data engineering, data architecture, BI, or analytics roles.
• Strong experience designing and delivering enterprise data and analytics solutions.
• Solid understanding of data modelling, integration patterns and data products.
• Strong SQL skills and data analysis capability.
• Experience working across the SDLC and BDLC.
• Proven ability to translate business needs into actionable data solutions.

Preferred / Advantageous

• Experience with Power BI, SAS, Teradata, Python/R, and big data platforms.
• Hands-on experience building dashboards, reports, or analytical solutions.
• Familiarity with data governance, quality, and metadata practices.
• Strong consulting, facilitation, and stakeholder engagement skills.
• Excellent problem-solving, analytical thinking, and communication skill

End Date: May 17, 2026