Director of Analytics & Insights

Business Partnership & Stakeholder Engagement (Primary Focus) 

• →Serve as the primary point of contact between the BI function and business departments, including Marketing, Development, Programming, Guest Experience, Finance, Education, and Operations. 
• →Run structured intake conversations that translate department objectives and milestones into scoped, actionable BI work. 
• →Facilitate metric definition sessions with metric owners to establish clear, agreed-upon KPI definitions before development begins. 
• →Help non-technical stakeholders articulate what they need from data, reframing vague requests into answerable ones. 
• →Present dashboards, findings, and a BI portfolio review at a regular cadence to departments and leadership in language appropriate to the audience. 
• →Lead data literacy initiatives that strengthen the organization's ability to interpret and act on analytical outputs. 

KPI & Metric Stewardship 

• →Own the organization-wide metric definition practice, ensuring terms like "new patron," "active donor," "revenue," and "engagement" have a single agreed-upon definition across the organization. 
• →​​​​​​​Maintain the Metric Registry as the single source of truth for KPI definitions, including formula, grain, owner, cadence, source, and sensitivity classification. 
• →Apply the "So What?" test to every proposed KPI, and enforce OCS discipline (Owner, Cadence, Source) before metrics enter the plan. 
• →Classify metrics by type (Input, Output, Performance, Financial Driver) to ensure each department has a healthy mix of leading and lagging visibility. 
• →Steward the ongoing evolution of KPIs; retiring, refining, or proposing metrics as business needs change. 

Requirements Translation & BI Delivery 

• →Convert business requirements into clear, well-specified technical requirements that the Data Engineer and BI team can act on. 
• →​​​​​​​Reconcile data across multiple source systems to produce consistent, trustworthy analytical outputs. 
• →Partner with the Data Engineer on data model decisions that support business needs. 
• →Maintain and enhance the existing portfolio of dashboards, reports, and segmentation logic, ensuring outputs remain accurate, documented, and refreshed on schedule. 
• →Triage incoming BI requests, apply scoring criteria and quality gates, and ensure outputs comply with data governance, privacy, and security standards. 

Proactive Analysis & Insight Delivery 

• →Perform hypothesis-driven analyses of patron behavior, ticket sales, fundraising, membership dynamics, marketing effectiveness, and organizational health. 
• →Identify trends, anomalies, and opportunities that departments have not surfaced themselves, and communicate findings on a regular cadence. 
• →Frame insights in terms of the decision they inform, the recommended action, and the level of confidence; not raw data dumps. 
• →Partner with department heads to help them use BI outputs to change how their work is done. 

Team & Practice Development 

• →Mentor department staff who perform analyses, elevating analytical capability across the organization. 
• →Contribute to the design and eventual staffing of the growing BI function. 
• →Provide informal technical guidance to peers and cross-functional collaborators. 

• Bachelor's degree in Analytics, Data Science, Information Systems, Statistics, Business, Economics, or a related field. Equivalent professional experience may substitute. 
• Ten or more years of progressive experience in business intelligence, data analytics, business analysis, or a related discipline, with demonstrated growth in scope and responsibility. 
• Demonstrated experience leading stakeholder engagements — running requirements gathering sessions and translating business language into technical specifications. 
• Demonstrated experience defining and stewarding KPIs or metric definitions across multiple business functions, including bringing agreement across competing definitions. 
• Strong hands-on experience with modern BI and dashboarding platforms, including semantic modeling, data visualization design, and communicating with business users about report design. 
• Working proficiency with SQL for exploratory analysis, validation, and specification. 
• Excellent written and verbal communication skills, with a proven ability to explain data and findings clearly to non-technical audiences. 
• Strong customer-service orientation and comfort in ambiguous, evolving business conversations. 
• Interest in and aptitude for eventually leading a small team of analytical professionals as the function grows. 
• Ability to manage multiple concurrent workstreams and deliver on commitments with minimal supervision. 

• Experience with modern cloud data platforms and Lakehouse or warehouse architecture. 
• Familiarity with dimensional modeling and metric registry design. 
• Familiarity with CRM, ticketing, or fundraising platforms (Tessitura experience is a plus). 
• Experience supervising, mentoring, or coaching analysts or other technical practitioners. 
• Working knowledge of a scripting language (such as Python or R) for analytical prototyping. 
• Experience supporting marketing analytics, fundraising analytics, or executive KPI frameworks. 
• Familiarity with data governance and stewardship practices. 
• Experience in a nonprofit, arts, cultural, or mission-driven organization. 
• Demonstrated curiosity — an inclination to investigate the "why" behind numbers, not just report them. 

• Ability to work at a computer for extended periods of time. 
• Ability to operate standard office equipment including computer, copier, and scanner.