Senior Data & Analytics Consultant

PMY is a full-service provider of technology, data, and creative solutions for the live environment.

With a growing global footprint across APAC, the USA, and EMEA, we are committed to delivering tailored, impactful solutions across sectors such as Sport & Entertainment, Stadiums & Arenas, Public Sector & Education and Retail & Media.

We combine a global perspective with decades of experience, and deep local insight in key markets. At PMY, our goal is to deliver cutting-edge strategy, design, and operational services across the full technology ecosystem — powered by proprietary and bespoke intelligence solutions and activated by a passionate and experienced team.

• We aim to be the world’s leading technology partner for the live environment, helping clients access critical insights, innovative capabilities, and end-to-end technical expertise that supports operational excellence and drives commercial and strategic success.
• Across our group, we work to embody the PMY ethos — striving to be professional, dynamic, collaborative, and creative partners.
• Each of our companies brings deep technical knowledge and diverse global experience, enabling us to provide a truly integrated, turn-key solution spanning consulting and design, implementation and operations, software, and data, as well as brand, creative, content, and fan experiences.

At PMY Group, we are proud to be working with more than 1,000 valued clients in 15 countries. We have built a team of more than 500 talented professionals with more than 40 years of combined industry experience.

As a Senior Data & Analytics Consultant, you will help clients turn performance, commercial, and operational data into clear insights, better decisions, and measurable business outcomes. This role blends strong analytics and reporting with applied data science: you will explore and prepare data, identify trends and drivers, develop statistical or machine learning approaches where appropriate, and translate results into practical recommendations for technical and non-technical stakeholders.

You will work across dashboards, KPI development, forecasting, segmentation, anomaly detection, and other applied analytics use cases, using cloud-native data and AI tools to improve the speed and quality of analysis. The role is designed for someone who is comfortable owning analytics end-to-end while progressively applying more advanced data science techniques to client problems.

This role is an individual contributor position with opportunities for growth into senior analytics, data science, and applied AI roles.

• Collect, clean, transform, and analyze data from multiple sources to create reliable datasets for reporting, statistical analysis, and applied modeling.
• Identify trends, patterns, anomalies, and business drivers, and apply statistical or machine learning techniques where they add value to the use case.
• Support forecasting, segmentation, propensity, recommendation, and other predictive analytics use cases, including validation of outputs and assumptions.
• Use SQL, Python, and cloud-native analytics and AI capabilities to accelerate exploration, analysis, and repeatable analytical workflows.

• Design, develop, and maintain dashboards, reports, and analytical outputs that communicate KPIs, trends, model results, and business performance.
• Present analytical findings, model outputs, and recommendations to clients and stakeholders in a clear, concise, and actionable manner.
• Create proofs of concept that combine reporting, advanced analytics, and AI-assisted capabilities where they can improve client decision-making.

• Work directly…