At SmartPA, we are the engine of our clients' success. This particular role is assigned to one of our ‘dedicated’ clients, meaning you will be representing our brand whilst working very closely with a global tech giant.
We are looking for a Data & Systems Lead who possesses a bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver who thrives on ambiguity and the challenge of turning complex data into a competitive advantage. You will be the bridge between technical execution and business impact, ensuring that every piece of data - from a single spreadsheet cell to a complex dashboard build - is accurate, ethical, and strategically aligned with both SmartPA’s and the tech giant's mission.
What Your Day Will Look Like
- Stakeholder Partnership: Act as a collaborative partner to cross-functional teams. You will present recommendations clearly and persuasively to diverse audiences, including executive leadership, ensuring your insights are acted upon.
- Forensic Data Stewardship: Manage content and data entry with a methodical approach. You identify and correct inaccuracies at the source, maintaining a "perfectionist’s eye" for detail to ensure the source of truth is beyond reproach.
- Systems Architecture: Design and maintain low-code applications (AppSheet) and automated Google Sheets ecosystems. You ensure data flows through functions and validation rules with zero friction.
- Information Design & Visual Storytelling: Build intuitive dashboards and "data imagery" in Looker Studio. You have a meticulous eye for the finer details of data presentation - ensuring titles are punchy, axes are correctly labelled, and legends are clear - so the end-user understands the "story" of the data at a glance.
- AI Acceleration: Spend a percentage of your time identifying how Generative AI tools (e.g., Gemini) can transform data roles, research complex problems, and automate administrative heavy lifting.
- Culture & Trust: Champion a data-driven culture by feeding user engagement insights back into models, while maintaining a commitment to user trust and granular privacy controls.
