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Über
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. RESPONSIBILITIES
Data Collection and Analysis
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. Dashboard and Reporting Development
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 QuickSight). Client Engagement and KPI Development
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. Analytics Ownership and Insight
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 BigQuery Agent Analytics, Amazon Redshift/Bedrock/Q, Azure Synapse/ML). Cross-Functional Collaboration
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. Strategy and Process Improvement
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. Additional Responsibilities
Perform additional duties assigned to support evolving business needs. KNOWLEDGE, SKILLS & EXPERIENCE
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. 46 years of experience in a data analyst, business intelligence, or analytics-focused role with a strong track record in data analysis and reporting. Bachelors degree in Business, Data & Analytics, Information Systems, or a related field. Prior experience in sports, live events & entertainment, or consulting is preferred. Proficiency with data visualization tools such as Power BI, Tableau, or Looker, and strong SQL skills for data extraction, transformation, and analysis. Experience working with relational and analytical databases such as PostgreSQL, MySQL, BigQuery, Redshift, or Snowflake. Comfort working end-to-end with data, including writing and optimizing SQL queries, validating datasets, and translating outputs into business-ready insights. Familiarity with cloud analytics platforms and tooling across AWS, Google Cloud Platform, or Azure. Ability to leverage AI-assisted analytics capabilities across cloud platforms for data preparation, validation, and analysis, with familiarity in AI-enabled SQL functions and emerging ML tools such as BigQuery ML, AWS SageMaker, or Azure Synapse/ML. Strong analytical and problem-solving skills with high attention to detail and the ability to manage multiple priorities. Exceptional verbal and written communication skills, with the ability to present insights to both technical and non-technical audiences. Demonstrated initiative, ownership, and accountability in delivering high-quality analytics work. Familiarity with data privacy and data governance practices is a plus. Why PMY Group?
Growth:
Scale your career with diverse projects and continuous learning. Flexibility : Embrace a work-life balance with flexible hours and remote work opportunities. Impact : Your work directly transforms the venue experience for millions. Culture:
Collaborate with a passionate team in a dynamic, innovative environment. Benefits : Competitive compensation, comprehensive health benefits, and company-sponsored industry certifications. We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and First Nations peoples. #J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
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