Client Facing Data Analyst

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.

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 Client Facing Data Analyst, you will play a crucial role in enabling data-driven decision-making by transforming, analyzing, and reporting with a variety of data across performance, commercial and operational systems. This role is ideal for a detail-oriented professional with a strong analytical mindset who thrives in a collaborative, data-rich environment. You will design, develop, and maintain dashboards and reports to monitor key performance indicators (KPIs) and other essential metrics, providing clients and business leaders with insights that inform strategic decisions.

As a member of our tech-forward team, you will continuously adapt and integrate cloud native AI solutions and tools to improve data quality and advance client goals. Your ability to translate complex data into clear, actionable insights will be instrumental in advancing client objectives and delivering measurable value.

This role is an individual contributor position with opportunities for growth into senior analytics roles.

• Collect, analyze, and report data from various sources, ensuring comprehensive and accurate insights.
• Perform regular data quality checks to ensure accuracy and integrity across data sources.
• Identify trends, patterns, and anomalies in data to derive actionable insights that support strategic decision-making.
• Use natural language AI tools for ad hoc data exploration to accelerate discovery and guide areas of inquiry.

• Design, develop, and maintain dashboards and reports to monitor KPIs and other essential metrics.
• Present data findings and insights to clients and stakeholders in a clear, concise, and impactful manner.
• Create dashboard and reporting proofs of concept where appropriate with natural language AI tools (e.g. Google Gemini in Looker / Amazon Q in Quick Sight).

• Guide clients in verbalizing their business goals and assist them in establishing KPIs to measure progress toward those goals.
• Proactively manage the iteration of these goals and metrics as you build trusted client relationships.

• Own analytics outputs end-to-end, from data validation and dashboard development through insight generation and stakeholder delivery.
• Take accountability for the accuracy, relevance, and adoption of analytics products, ensuring insights are clearly communicated and actionable for both client and internal stakeholders.
• Proactively identify opportunities to improve reporting, refine KPIs, and surface recommendations that support operational and strategic decision-making.
• Collaborate with engineering on cutting edge approaches to provide clients with access to agents trained on their data (Google Big Query Agent Analytics, Amazon Redshift/Bedrock/Q, Azure Synapse/ML).

• Collaborate with cross-functional teams to identify data needs and provide analytical support aligned with project goals.
• Experience working with clients and in-house teams across different time zones is highly desirable.

• Contribute to the development and implementation of data-driven strategies and initiatives across multiple projects.
• Contribute to project improvement methodologies, benchmarking and change management practices to enhance project outcomes.

• Perform additional duties assigned to support evolving business needs.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required or preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 4–6 years of experience in a data analyst, business intelligence, or analytics-focused role with a strong track record in data analysis and reporting.
• Bachelor’s degree in Business, Data & Analytics, Information Systems, or a related field.
• Prior experience in sports, live events &…