Job description

Double Good is a leading fundraising app and best-in-class technology company redefining how youth organizations raise funds for the causes they care about. Teams run short, high-impact fundraisers by selling delicious popcorn through personalized Pop-Up Stores, keeping 50% of every sale. Thousands of schools and teams nationwide use Double Good to raise meaningful funds quickly and easily. Guided by our mission to create joy, Double Good also supports the Double Good Kids Foundation, a 501(c)(3) organization that exists to spark joy for children with special needs and the people who care for them through inclusive experiences and spaces that foster play, connection, and possibility. Double Good has been recognized on the Inc. 5000 list 19 times and ranked No. 16 on Crain’s Chicago Business Fast 50 list in 2026, and it continues to grow while staying focused on impact. In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Manager of BI to join our Data team. Location - This role is hybrid and will be onsite 3 days per week from our Elmhurst or downtown Chicago location. About the role: Lead Double Good's BI team toward one target state: every Monday, business users open certified Looker dashboards and AI-generated summaries for their function. This leader defines the 2-year BI strategy and roadmap to bring that vision to fruition. Scope and Range: Double Good is a fundraising app paired with our own gourmet popcorn kitchens. Youth teams and schools fundraise in a few clicks, we cook and ship directly to supporters, and half of every dollar goes back to the youth organization. The Manager, Business Intelligence reports to the VP of Data & Analytics and leads a high-performing team of 2-3 BI Analysts and BI & Analytics Engineers. The team owns the consumption layer: KPI definitions, certified Looker dashboards, self-service adoption, and insights. This role is the primary BI partner to the leaders of Product, Operations, Finance, Marketing, and Sales. This is a player-coach role: you define the BI strategy, set priorities, develop the team, and still build in Looker and write SQL when it matters. Target state: every Monday, business users open certified Looker dashboards and AI-generated summaries for their function. Every certified metric serves three readers: people, downstream forecasts and plans, and AI. The roadmap is driven by the Data & Analytics team's four impacts on the business: grow and keep organizers, ever-improving product, finance-grade unit economics, and demand-driven operations. Key Responsibilities: Own the BI roadmap: a prioritized quarterly plan, tied to the four business impacts, that moves every function from reactive reporting toward certified dashboards and AI-generated summaries. Lead, mentor, and grow a high-performing team of 2-3: provide technical guidance, career development, and clear goals for BI Analysts and BI & Analytics Engineers. Own the end-to-end BI lifecycle: standardized intake, requirements definition, and delivery from prototype to production-grade dashboards that are accurate, repeatable, and scalable. Specify what the semantic layer must deliver: metric definitions, grain, dimensions, and acceptance tests for Analytics Engineering, replacing one-off solutions with shared, reusable metrics; BI signs off before certification. Champion data governance, metric consistency, and quality assurance: one definition per metric, a named owner, tests, documentation, and a change process, so leadership works from a single source of truth. Drive certification and business adoption: define "certified," retire content that does not qualify, and grow Looker adoption through Explores, training, and usage tracking. Make BI AI-ready: establish the naming, documentation, and business-context standards that let AI read certified metrics as reliably as a person, and own the quality of AI-generated summaries. Translate complex business questions into actionable intelligence: partner with functional leaders to define the metrics behind each decision, deliver concise written recommendations that change outcomes, and manage BI delivery across Data Engineering, Analytics Engineering, and Product. Experience & Skills we value: 5+ years in business intelligence, analytics, or analytics engineering with demonstrated business impact, including ownership of a reporting ecosystem and KPI framework used by senior leaders. 2+ years managing analysts or analytics engineers with employee development responsibility; strong team-lead experience considered. Deep Looker experience building and governing production-grade, certified dashboards, with LookML fluency sufficient to review an Explore and write a precise specification. Expert SQL with working knowledge of dbt and a modern cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks). Track record of metric definitions and data-quality standards that held across teams. Demonstrated ability to collaborate with and influence cross-functional stakeholders through the executive level, verbally and in writing. Comfort operating in a fast-paced, ambiguous environment. Experience with AI/GenAI-enabled analytics and a clear point of view on what makes a certified metric usable by an LLM or agent. Bachelor's degree in business analytics, information systems, computer science, statistics, economics, or a related field, or equivalent experience. Nice to Have: Experience in a direct-to-consumer e-commerce or CPG business. Hands-on delivery of AI-generated summaries or natural-language Q&A on governed BI data (for example, Claude with Looker and Snowflake). Experience building self-service analytics platforms or delivering BI outputs as inputs to forecasting, planning, finance close, or experimentation platforms. Prior hands-on dbt or LookML development; Python and Git-based workflows. Growth and lifecycle analytics (acquisition, repeat, referral), A/B testing, or experimentation frameworks. Finance and operations metric literacy: revenue recognition, COGS, contribution margin, forecast accuracy, on-time shipment, unit cost. Looker or dbt certification, or a CDMP or CBIP data-management credential. Equal Pay Disclosure(s): We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan. Base Pay range for this position: $108,000 - $155,000 annually Target Annual Bonus: 15% of base salary The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location. Work Authorization Requirement: This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs. Benefits: Double Good offers competitive benefits for all eligible full time employees including medical, dental and vision coverage with plans that can fit each teammate’s needs. We offer immediate vesting in our 401k plan, paid time off, company-paid leaves and other perks including a Popcorn Allowance (yup, free popcorn!). Visit the Careers page on our website for more information at doublegood.com. Double Good is an Equal Opportunity and Affirmative Action employer, working in compliance with both federal and state laws. We are committed to the concept of Equal Employment opportunity. Qualified candidates will be considered for employment regardless of race, color, religion, age, sex, national origin, marital status, medical condition, or disability.  The EEO is the law and is available here . Right to Work Statement ( English and Spanish ). Use of Artificial Intelligence in Hiring. Double Good uses Artificial Intelligence tools to help recruiters review and summarize candidates’ resumes and qualifications for positions where this notice appears. These tools process information contained in application materials and may assist with candidate evaluation. Double Good personnel make all selection and hiring decisions. To request a reasonable accommodation in the application or hiring process, contact people@doublegood.com. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I‑9 to confirm work authorization.

Requirements

Must-haves

Location - This role is hybrid and will be onsite 3 days per week from our Elmhurst or downtown Chicago location.
Own the BI roadmap: a prioritized quarterly plan, tied to the four business impacts, that moves every function from reactive reporting toward certified dashboards and AI-generated summaries.
Lead, mentor, and grow a high-performing team of 2-3: provide technical guidance, career development, and clear goals for BI Analysts and BI & Analytics Engineers.
Own the end-to-end BI lifecycle: standardized intake, requirements definition, and delivery from prototype to production-grade dashboards that are accurate, repeatable, and scalable.
Champion data governance, metric consistency, and quality assurance: one definition per metric, a named owner, tests, documentation, and a change process, so leadership works from a single source of truth.
Drive certification and business adoption: define "certified," retire content that does not qualify, and grow Looker adoption through Explores, training, and usage tracking.
Make BI AI-ready: establish the naming, documentation, and business-context standards that let AI read certified metrics as reliably as a person, and own the quality of AI-generated summaries.
5+ years in business intelligence, analytics, or analytics engineering with demonstrated business impact, including ownership of a reporting ecosystem and KPI framework used by senior leaders.
2+ years managing analysts or analytics engineers with employee development responsibility; strong team-lead experience considered.
Deep Looker experience building and governing production-grade, certified dashboards, with LookML fluency sufficient to review an Explore and write a precise specification.
Expert SQL with working knowledge of dbt and a modern cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks).
Track record of metric definitions and data-quality standards that held across teams.
Demonstrated ability to collaborate with and influence cross-functional stakeholders through the executive level, verbally and in writing.
Comfort operating in a fast-paced, ambiguous environment.
Experience with AI/GenAI-enabled analytics and a clear point of view on what makes a certified metric usable by an LLM or agent.
Bachelor's degree in business analytics, information systems, computer science, statistics, economics, or a related field, or equivalent experience.

Nice-to-haves

Experience in a direct-to-consumer e-commerce or CPG business.
Hands-on delivery of AI-generated summaries or natural-language Q&A on governed BI data (for example, Claude with Looker and Snowflake).
Experience building self-service analytics platforms or delivering BI outputs as inputs to forecasting, planning, finance close, or experimentation platforms.
Prior hands-on dbt or LookML development; Python and Git-based workflows.
Growth and lifecycle analytics (acquisition, repeat, referral), A/B testing, or experimentation frameworks.
Finance and operations metric literacy: revenue recognition, COGS, contribution margin, forecast accuracy, on-time shipment, unit cost.
Looker or dbt certification, or a CDMP or CBIP data-management credential.
Target Annual Bonus: 15% of base salary

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Platform: greenhouse
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Benefits

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Dental

Vision

401k

Paid Time Off