Director, Business Analytics

Gaggle is a company focused on transforming data into actionable decisions. The Director of Business Analytics will lead a team of analysts, driving analytics projects and improving processes across various departments to enhance customer experiences and operational efficiency.

Responsibilities:

• Prioritize and translate business questions into well-scoped analytics projects and repeatable reporting
• Identify opportunities for process improvements, cost savings, scalability, and better customer outcomes; track realized value
• Review and approve queries, dashboards, and documentation; uphold data quality and consistency across Tableau/Salesforce/HubSpot/GA/Redshift
• Build narratives that drive decisions—turn analysis into recommendations with measurable impact
• Support Sales, Marketing, Customer Experience and Ops/Innovation teams with ready-made statements and stories that are backed by data trends identified by the BA team
• Partner with Data/IT on source-of-truth tables and performance (e.g., Redshift models, permissions)
• Maintain and improve documentation for dashboards/reports and datasets
• Improve internal training and accessibility so power users can self-serve safely

Requirements:

• A minimum of 1 year in a customer facing position (e.g. sales, customer service, etc.)
• A minimum of 3 years direct management experience, including experience leading analysts or projects in a cross-functional setting
• A minimum of 5 years dedicated to analytics or business intelligence
• Advanced SQL and strong BI experience
• Comfortable with Tableau, Salesforce, HubSpot, Google Analytics, Amazon Redshift
• Proven record building operational reporting (staffing, budgeting/expense, pipeline/revenue, marketing performance) that drives decisions
• Excellent scoping, prioritization, and project management; calm under rapid change
• Strong communicator: converts analysis into concise stories and recommendations
• Experience working independently/remotely with distributed stakeholders
• SW development or systems engineering experience
• Light scripting (Python or R) for data prep/automation; familiarity with dbt or similar modeling
• Demonstrated experience creating, owning, or scaling AI-forward tools, workflows, or initiatives that improve business decision-making, operational efficiency, or customer outcomes
• Worked in K-12/EdTech contexts