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PMY Group · 3 hours ago

Client Facing Data Analyst

Culver City, CA

Full-time

Onsite

Mid, Senior Level

4+ years exp

PMY Group is a full-service provider of technology, data, and creative solutions for the live environment. The Client Facing Data Analyst will transform, analyze, and report data to enable data-driven decision-making, design and maintain dashboards, and engage with clients to establish key performance indicators.

Information Technology

Responsibilities

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 QuickSight)

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 BigQuery 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

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

Qualification

Data analysisSQLData visualization toolsCloud analytics platformsAI-assisted analyticsRelational databasesData privacy knowledgeCommunication skillsProblem-solving skillsAttention to detailInitiativeOwnership

Required

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

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