Senior Data & Analytics Consultant

PMY Group; Culver City (CA); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Flexible hours

Remote work opportunities

Health benefits

Industry certifications

Job summary

PMY Group is seeking a Senior Data & Analytics Consultant to turn performance, commercial, and operational data into actionable insights. You will explore data, develop statistical or ML approaches, and translate results for technical and non-technical stakeholders.

You will work on dashboards, KPI development, forecasting, segmentation, and anomaly detection using cloud-native data and AI tools. The role is an individual contributor with opportunities to grow into senior analytics, data

Qualifications

• Bachelor's degree in a data science, statistics, mathematics, business analytics, information systems, computer science, economics, or engineering field.
• 4–6 years of experience in data analysis, BI, analytics, or data science with a track record of turning data into business outcomes.
• Strong SQL and Python experience; proficiency with Power BI, Tableau, or Looker.
• Experience with cloud platforms and relational/analytical data warehouses.

Responsibilities

• Collect, clean, and analyze data from multiple sources to build reliable datasets for analysis and modeling.
• Design dashboards and reports to communicate KPIs and model results to clients.
• Collaborate with client teams to define KPIs, analytical use cases, and success criteria.
• Own analytic outputs end-to-end from data validation to insight delivery.
• Work with data engineers and AI/ML teams to operationalize models when needed.

Skills

SQL

Python

Power BI

Tableau

Looker

Data analysis

Education

Bachelor's degree in Data Science or related field

Tools

PostgreSQL

MySQL

BigQuery

Redshift

Snowflake

Git

Job description

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.

POSITION OVERVIEW

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.

RESPONSIBILITIES

Data Analysis and Applied Data Science

• 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.

Dashboard, Reporting and Decision Support

• 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.

Client Engagement and KPI Development

• Work directly with clients to translate business goals and operational challenges into measurable questions, KPIs, analytical use cases, and success criteria.
• Partner with clients to iterate on analytical approaches, dashboards, and model outputs, building trust through clear communication and measurable results.

Analytics Ownership and Insight

• Own analytics outputs end-to-end, from data validation and exploratory analysis through dashboarding, applied modeling, insight generation, and stakeholder delivery.
• Take accountability for the accuracy, relevance, and usability of analytical outputs, ensuring assumptions and limitations are appropriately understood.
• Proactively identify opportunities to improve reporting, refine KPIs, and apply predictive analytics or machine learning where it can improve operational and strategic decision-making.
• Collaborate with data engineering and AI/MLOps teams when analytical models or capabilities need to be operationalized in cloud platforms.

Cross-Functional Collaboration

• Collaborate with data engineers, solution architects, AI/MLOps engineers, analysts, and client teams to define data requirements and deliver analytical solutions.
• Experience working directly with clients and distributed technical teams across different time zones is highly desirable.

Strategy and Continuous Improvement

• Support analytical experiments, backtesting, benchmarking, and measurement frameworks where appropriate to quantify performance and business impact.
• Contribute to data and analytics strategy, reusable analytical methods, and continuous improvement practices across multiple projects.

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.

• 4–6 years of experience in data analysis, business intelligence, applied analytics, data science, or a closely related role, with a strong track record of translating data into business outcomes.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Computer Science, Economics, Engineering, or a related field.
• Prior experience in sports, live events & entertainment, or consulting is preferred.
• Strong SQL skills and practical Python experience for data analysis and modeling, with familiarity with libraries such as pandas, NumPy, scikit-learn, statsmodels, or equivalent tools; proficiency with Power BI, Tableau, or Looker is also important.
• Experience working with relational and analytical databases such as PostgreSQL, MySQL, BigQuery, Redshift, or Snowflake, including large and complex datasets.
• Working knowledge of statistical analysis and applied machine learning techniques such as regression, classification, clustering, time-series forecasting, recommendation, or anomaly detection.
• Familiarity with cloud analytics and machine learning platforms across Google Cloud Platform, AWS, or Azure, including tools such as BigQuery ML / Vertex AI, SageMaker, or Azure ML.
• Ability to evaluate analytical and model outputs using appropriate validation methods and explain assumptions, limitations, and results to both technical and business audiences.
• Strong analytical and problem-solving skills, including data quality assessment, hypothesis-driven analysis, and the ability to manage multiple priorities.
• Exceptional verbal and written communication skills, with the ability to explain complex analytical concepts and recommendations to both technical and non-technical audiences.
• Demonstrated initiative, ownership, and accountability in delivering high-quality analytics work; familiarity with Git or similar version-control practices is beneficial.
• Familiarity with responsible AI, 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.