Principal Marketing Analyst

AdvancedMD•South Jordan, UT

3h•Hybrid

About The Position

AdvancedMD is seeking a Principal Marketing Analyst, the first analyst role on their Marketing Analytics & Operations team. This individual contributor position will be instrumental in defining marketing measurement, including KPIs, reporting foundations, and the analysis that drives marketing decisions. The role involves working in an agile environment, balancing immediate needs like answering questions and troubleshooting data with long-term goals like defining KPIs and building robust reporting models. The analyst will have significant influence over the martech stack as it is modernized and will work closely with the Head of Marketing Analytics & Operations.

Requirements

Bachelor's degree in a quantitative, business, or related field, or equivalent practical experience. We weight demonstrated analytical ability and work history over credentials
Substantial experience analyzing marketing performance in a role where you owned the analysis end to end, not just the report refresh
Advanced SQL: complex joins, window functions, CTEs, and query performance tuning (we use Starburst)
Strong hands-on BI development in Power BI, including data modeling and DAX. Deep experience in similar tools (Tableau, Looker, etc.) also considered
Working data modeling skills: building semantic and reporting layers on top of imperfect source data. You don't need to be a data engineer, but you do need to be resourceful when the clean table you want doesn't exist
Working knowledge of web or product analytics data (we use GA4)
Fluency with how marketing actually works — demand generation, paid media, lifecycle, and funnel stages — and a point of view on what good performance looks like
Demonstrated attention to detail and strong troubleshooting instincts
A track record of structuring loosely defined problems and moving them forward without waiting to be told how
Excellent written and verbal communication with non-technical partners

Nice To Haves

Experience in SaaS, healthcare, or health IT
Experience supporting both a sales-led and a product-led motion
Experience building marketing measurement from the ground up in an environment without a mature warehouse
Experience with a managed query service or cloud data platform (Starburst, Athena, Snowflake, Databricks, BigQuery, etc.)
Python used in service of answering questions faster or better
Working knowledge of marketing automation data (Marketo or similar)
Familiarity with CRM data structures such as Salesforce
Experience through a martech migration or replatforming

Responsibilities

Answer marketing's questions across the funnel — paid media efficiency, conversion and drop-off, lifecycle performance, pipeline contribution — and match the depth of analysis to what the decision requires
Run proactive analysis: find the thing nobody asked about, size it, and bring it forward with a recommendation
Trace marketing data end to end, from first touch through pipeline and revenue, and troubleshoot it when it breaks
Build out measurement for our new product-led motion ahead of and through launch, including self-serve signup, activation, and early product usage
Bring measurement rigor to channel and campaign evaluation, including test design, holdouts, incrementality, and well-founded skepticism about attribution
Partner with the Head of Marketing Analytics & Operations to define, build, and own marketing's core KPIs and the definitions behind them
Build the semantic, pre-report, and report-layer models that make marketing reporting reusable instead of rebuilt
Design and maintain Power BI reporting that stakeholders genuinely use, and retire what they don't
Document definitions, logic, and caveats so the work outlasts any single analysis
Work embedded with a small group of marketing stakeholders, turning ambiguous asks into clear questions and clear answers
Communicate findings so decisions follow: plain language, appropriate confidence, honest about what the data can and cannot support
Help shape marketing's data layer as the stack modernizes — partnering with our data engineer to bring in new sources, and with company data and BI counterparts on shared standards
Serve as a trusted, go-to input whenever marketing needs data-driven guidance