CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! Analytics Engineer We're on a mission to shake up the status quo, and we're seeking passionate, innovative minds to join our journey. As an Analytics Engineer in CreatorIQ’s GTM Ops organization, you'll play a pivotal role in building the data foundation that drives our business forward. Working closely with our Data Engineers within our GTM Analytics & Insights team, you'll start by working with raw sales and marketing data and also, extending our existing dimensional models before progressively taking ownership of new datamart development as our data foundation grows. From building high-performance Tableau dashboards to designing the dbt models that power them, your work will directly shape how we understand and act on our customer journey. Immerse yourself in our performance-driven, fun, and highly motivated culture where we celebrate wins, learn from every challenge, and push each other to new heights. In this role, you’ll get to: • Own and progressively extend our dimensional modeling layer — learn our existing dbt models and datamart conventions, then progressively take ownership of new subject-area datamarts, designing fact and dimension tables from scratch as the warehouse grows • Establish governed, reusable metric definitions across the GTM funnel, with priority on MQL→SQL — partner with Marketing Ops, Sales Ops, and RevOps to resolve conflicting definitions and encode metrics once so every dashboard and query pulls from the same source of truth • Design and deliver high-impact Tableau dashboards — build and maintain performant, self-serve dashboards that give GTM teams actionable visibility into revenue KPIs and customer journey metrics, built on governed metric definitions • Bring visualization judgment to every deliverable — apply a strong sense of which chart types and layouts serve each audience, translating complex data into intuitive, decision-ready views • Present and validate work with stakeholders — walk analysts and GTM managers through dashboards and metric definitions, confirm analytical logic is sound, and incorporate feedback to improve reliability and self-serve adoption • Gather and document business requirements — partner with GTM Strategy & Insights managers to translate business questions into scoped, well-documented analytical requirements, plus light ad-hoc analysis as needed Who you are and what you’ll need for this position: Required • 3–5+ years of analytics or BI experience, with demonstrated ownership of dbt modeling and BI dashboards — proven track record delivering dashboards and data products in an analytics, BI, or analytics engineering role in a production environment • Advanced Tableau skills — you build high-performance dashboards and understand data source optimization, calculated fields; and consider which chart type fits which story, how to reduce noise, and how to design for the reader • Proficient in SQL — you write complex queries using window functions, CTEs, and optimization techniques to support analysis and data preparation • Hands-on with dbt and dimensional modeling — you build transformation models, write dbt tests, design star and snowflake schemas from scratch, and are comfortable inheriting and extending existing modeling conventions • Experience defining reusable metrics once and exposing them consistently across BI tools — e.g., Snowflake Semantic Views, dbt Semantic Layer, or similar • Proficient with Git — comfortable with branching, pull requests, and code review in a collaborative dbt development environment • Skilled at requirements gathering — you can scope an ambiguous business request, ask the right questions, and translate the outcome into clear, documented analytical requirements • Collaborative communicator — equally comfortable working through technical problems with engineers and explaining data model logic and metric definitions clearly to non-technical stakeholders Preferred • Experience with GTM/RevOps data sources such as Salesforce, HubSpot, Google Ads, LinkedIn Ads, and call-intelligence platforms (e.g., Gong), including reconciling identity/attribution across systems • Experience with Snowflake as a data platform and aware of its Coco AI capabilities • Experience with data diagramming tools (e.g., Lucidchart, dbdiagram.io) for documenting • Curiosity about agentic BI tools (e.g. Omni) and automation tools (e.g. n8n) Success Criteria (first 90 days) • Ship a documented, cross-team-agreed definition of MQL and SQL (and the handoff logic between them) • Rebuild or validate the core top-of-funnel Tableau dashboard against that governed definition • Be actively extending at least one existing dbt datamart independently Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excit