Salary
💰 $164,800 - $206,000 per year
Tech Stack
AWSCloudETLPythonSQLTableau
About the role
- Lead and mentor a team of data analysts, fostering a culture of growth, innovation, and collaboration
- Drive the data analytics strategy, developing frameworks to uncover actionable insights from complex datasets across various business functions
- Own and optimize the creation and maintenance of data products, including dashboards, reports, and ad hoc analysis
- Collaborate with cross-functional leaders (Product, Finance, Marketing, Risk Management) to identify business needs, define key metrics, and deliver insights
- Ensure data consistency, accuracy, and governance throughout the enterprise, setting best practices and standards for data quality
- Build and manage relationships with both internal and external stakeholders to champion data-driven decision-making
- Manage and execute change management processes related to data analytics, implementing scalable solutions that address both short-term needs and long-term goals
- Shape long-term strategies, improve data governance, and enhance data infrastructure to enable scalable, reliable analytics
- Oversee daily operations and enable stakeholders with analytical capabilities that empower decision-making
Requirements
- 10+ years of experience in data analytics, with at least 5+ years in a leadership role managing teams
- Expertise in SQL
- Experience with Tableau to build interactive and insightful dashboards
- Proven ability to collaborate across departments and influence without direct authority
- Strong business acumen with strategic thinking and expert data-driven story-telling skills
- Experience with data warehousing and ETL processes, preferably with Snowflake and DBT
- Familiarity with cloud-based infrastructure, particularly AWS
- Exceptional communication skills, with the ability to present complex data insights clearly to stakeholders at all levels
- Strong project management skills with the ability to prioritize, manage deadlines, and deliver results in a fast-paced environment
- Advanced proficiency in statistical analysis and/or data science
- Experience with Python, R, or another scripting language
- Strong understanding of data architecture and enterprise data strategy
- Bonus: Experience in Healthcare technology
- Bonus: Deep product analytics experience in a B2C space with scale of operations
- Bonus: Fluency for analytics engineering and experiences with dbt