Role Overview:
We are seeking a Data Analyst to join the Data & Analytics team, serving as the analytics partner to the Customer Success organization.
Key Responsibilities:
Own and improve client-facing dashboards and reports for Quarterly Business Reviews and ad hoc requests.
Collaborate with Customer Success to understand client needs, translate them into analytical frameworks, and deliver actionable insights.
Develop and maintain LookML models, explores, and dashboards in Looker.
Write complex SQL queries across cloud data warehouses to extract and analyze data.
Create Python scripts for data wrangling, automation, and advanced analytics.
Leverage AI tools to enhance development, data exploration, and reporting processes, identifying new AI-powered use cases.
Proactively analyze data to identify trends, anomalies, and opportunities, presenting findings with business context.
Ensure data quality and collaborate with data engineering to improve data pipelines.
Document methodologies and contribute to BI strategy evolution.
Qualifications & Skills:
5+ years in data analysis, analytics engineering, or BI roles.
Expertise in Looker (LookML), SQL, and Python.
Experience with AI tools (e.g., ChatGPT, GitHub Copilot) and integrating AI into workflows.
Strong business acumen, problem-solving, and stakeholder communication skills.
Familiarity with cloud data warehouses (Redshift, S3) and data lake concepts.
Preferred Experience:
Healthcare or health tech data knowledge.
Experience deploying AI-powered analytics features.
Knowledge of AWS services, event-based analytics platforms, and version control systems. 