Lead, mentor, and grow a team of data analysts and BI developers, set performance goals and support career development
Define and execute analytics projects aligned with organizational goals and enterprise-wide strategic initiatives
Foster a data-driven culture through stakeholder engagement and data literacy initiatives
Oversee the design, development, and maintenance of scalable data models, dashboards, and reports using modern BI tools (e.g., SQL, Power BI, Tableau, GitHub)
Ensure high data quality and integrity by driving data governance and best practices
Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
Collaborate with Enterprise Data Management to ensure robust data governance, security, and quality
Lead integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Translate complex data insights into actionable business strategies and provide analytical support for high-impact initiatives
Evaluate and implement AI technologies (e.g., generative AI, LLMs, Databricks, DataGenie) and apply advanced analytics to predict outcomes and automate decisions
Requirements
8+ years in analytics leadership roles, managing cross-functional data teams
Proven ability to influence senior stakeholders and drive data-driven decisions
Excellent interpersonal, communication, and stakeholder management skills
Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
Strong understanding of business operations, KPIs, customer, and financial metrics
Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
Familiarity with GenAI and LLMs (e.g., OpenAI) and understanding of responsible AI principles and data ethics
Advanced Python skills for data analysis, modeling, and ML
Experience applying statistical modeling and machine learning
Benefits
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, up to two days of paid leave to participate in Employee Resource Groups and to volunteer
Job title
Senior Manager, Data Analytics and Business Intelligence
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