POSITION OVERVIEW:
Insomnia Cookies is looking for Marketing Data & Insights Manager—a powerhouse individual contributor who loves getting hands-on with data and transforming insights into high-impact marketing strategy. In this role, you’ll be the go-to authority on all things marketing analytics: customer behavior, campaign performance, attribution, segmentation, forecasting, experimentation, and the systems that power it.
You won’t manage people (yet!), but you will manage the full analytics ecosystem for the Marketing organization—from building pipelines to shaping strategy—playing a critical role in driving brand awareness, customer acquisition, loyalty, and revenue across our ever-growing footprint.
SWEET POSITION PERKS:
•High-impact, high-visibility role shaping the future footprint of a fast-growing brand
•Competitive salary + bonus + benefits + equity
•4 Day Work Week (yuppp, we get every Friday off)
•A fun, entrepreneurial, and cookie-filled culture.
•Free cookies, branded swag and so much more!
Key Responsibilities:
Marketing Analytics, Insights & Strategy
•Analyze customer behavior, segmentation, purchase patterns, and lifecycle trends—surfacing insights that guide strategy across digital, in-store, loyalty, and delivery channels.
•Create, maintain, and continuously improve dashboards and reporting suites that track core KPIs including CAC, ROAS, LTV, conversion, engagement, retention, offer performance, and more.
•Own attribution modeling and partner with digital teams to refine how we measure true campaign impact across channels.
•Build forecasting models to predict campaign performance, loyalty engagement, and customer value to support planning cycles and budget decisions.
•Monitor marketing and promotional performance in real time—proactively calling out wins, risks, and opportunities before anyone even asks.
Experimentation & Optimization
•Design, launch, and evaluate A/B and multivariate tests across marketing channels, website/app experiences, loyalty, and in-store initiatives.
•Translate test outcomes into clear recommendations, guidelines, and next steps for cross-functional partners.
•Develop frameworks that help scale experimentation, from sample sizing to test governance.
Data Infrastructure, Tools & Quality
•Own and manage marketing data pipelines and integrations in partnership with BI/Engineering—ensuring clean, reliable, and business-ready datasets.
•Serve as the primary administrator and subject-matter expert for GA4, Braze, Salesforce/CRM, and ad platform analytics.
•Maintain strong data hygiene and validation processes; identify and resolve issues (fast!) when something doesn’t look right.
•Help evolve marketing’s analytics tech stack and collaborate on tool evaluations and implementation.
Cross-Functional Partner & Advisor
•Act as the dedicated analytics partner for Marketing—ensuring decisions are grounded in data and designed for measurable success.
•Work closely with Finance on marketing ROI, budget planning inputs, and forecasting.
•Partner with Product on customer experience insights for web, app, loyalty program, and delivery enhancements.
•Present findings and recommendations to business leaders and senior stakeholders in clear, compelling, “no data degree required” ways.
Thought Leadership & Influence
•Champion a data-first culture on the Marketing team, helping others understand how to use data to inform decisions.
•Identify and define new metrics or analytical approaches to help the organization better understand customer behavior and marketing performance.
•Bring curiosity, creativity, and speed—continuously finding new ways to make our marketing smarter and more impactful.
Qualifications & Experience:
•Bachelor’s degree in Marketing Analytics, Business, Statistics, Economics, or related field.
•3–6 years of experience in marketing analytics, growth analytics, digital analytics, or a similar data-driven role.
•Advanced proficiency in SQL, Excel/Sheets, and BI visualization tools (Looker, Tableau, PowerBI).
•Hands-on experience with GA4, Braze, Salesforce/CRM, digital ad platforms, and customer data tools.
•Strong understanding of multi-channel marketing measurement, attribution, and lifecycle marketing.
•Proven ability to translate complex data into simple, compelling stories tailored to both technical and non-technical audiences.
•A test-and-learn mindset, with experience designing, running, and evaluating experiments.
•Bonus points if you’ve worked in QSR, retail, eCommerce, or a fast-paced, high-growth environment.