Senior Manager, Data Analytics

About the Role

Key Responsibilities

• 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 to identify business needs, define key metrics, and deliver insights that influence product development, marketing strategies, financial operations, and risk management.
• 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 across the organization.
• Manage and execute change management processes related to data analytics, implementing scalable solutions that address both short-term needs and long-term goals.

Requirements

• 10+ years of experience in data analytics, with at least 5+ years in a leadership role managing teams.
• Expertise in SQL and 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.

Nice to Have

• Experience in Healthcare technology
• Deep product analytics experience in a B2C space with scale of operations
• Fluency for analytics engineering and experiences with dbt

Benefits & Perks

• Medical, dental, vision, life & disability insurance
• 401(k) plan with company match
• Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
• Mental health resources
• Paid parental leave & Backup Care
• Tuition reimbursement
• Employee Resource Groups (ERGs)