The Mission

Turn data into decisions. The Consultant - Analytics & AI will lead the design and delivery of high-impact dashboards, data-driven case studies, and executive insights that help leadership, Marketing, and PR tell compelling, evidence-backed stories.

Role Overview

The role combines BI and data storytelling, data engineering on Google Cloud (BigQuery), and applied AI - including building AI agents on Google Cloud and using AI-assisted development tools such as Claude Code and Cursor. The individual will lead a small team of analysts, work independently with high ownership, and partner closely with stakeholders across the business.

Key Responsibilities

Data Storytelling & Leadership Insights

- Build compelling, insight-led narratives and case studies for leadership and executive audiences, translating analysis into transparent business impact.
- Design and deliver impactful, executive-ready dashboards aligned to business KPIs and strategic priorities.
- Support Marketing and PR with data-backed stories, industry trend reports, and proof points for internal and external communication.
- Present findings to senior stakeholders with clarity and confidence, focusing on the so what and recommended actions.

BI & Dashboard Delivery

- Own end-to-end dashboard delivery - requirement gathering, data modelling, build, QA, deployment, adoption, and iteration.
- Develop dashboards across Tableau, Power BI, Looker, and Looker Studio, selecting the right tool for each audience and use case.
- Conduct deep-dive analysis on large, complex datasets to uncover trends, patterns, and actionable recommendations.
- Define and maintain consistent metric definitions and ensure data quality, integrity, and accuracy across all deliverables.

Data Engineering (Google Cloud)

- Write advanced, optimised SQL in BigQuery (partitioning, clustering, window functions, cost and performance tuning).




- Build and maintain data pipelines and transformation layers using Python and GCP services such as BigQuery, Cloud Storage, Dataflow, Cloud Composer/Airflow, Cloud Functions, and Cloud Run.
- Contribute to data modelling, schema design, and automation of recurring reporting workflows.

Applied AI & Agents

- Design, build, and deploy AI agents using Google Cloud services - e.g., Vertex AI, Gemini models, Vertex AI Agent Builder / Agent Development Kit (ADK), Cloud Run, and Cloud Functions - to automate analysis, reporting, and insight generation.
- Use AI-assisted development tools (Claude Code, Cursor) to accelerate SQL, Python, pipeline, and dashboard development, and help the team adopt these practices responsibly.
- Identify opportunities to apply GenAI (e.g., natural-language querying, automated insight summaries) across team workflows.

Team Leadership & Stakeholder Management

- Lead, mentor, and review the work of analysts; plan and prioritise team workload and set delivery and quality standards.
- Act as the primary point of contact for stakeholders - scope requests, manage expectations, communicate progress, and present outcomes.
- Work independently with high ownership, taking ambiguous problems from question to recommendation.

Functional KPI's

- Timely, accurate delivery of dashboards, reports, and analyses against agreed timelines.
- Adoption and active usage of dashboards by leadership and business stakeholders.
- Data accuracy and consistency of metrics across all deliverables.
- Number and quality of leadership-ready case studies and data stories delivered.
- Turnaround time for stakeholder requests and ad-hoc analysis.
- Reliability and performance of data pipelines and BigQuery workloads (including cost efficiency).
- Stakeholder satisfaction with the quality and clarity of insights delivered.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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