Principal Marketing Analyst

AdvancedMD•South Jordan, UT

13d

About The Position

The Principal Marketing Analyst is an individual contributor and the first analyst on AdvancedMD’s Marketing Analytics & Operations team. The role will help establish marketing measurement for both the established sales-led platform and a new product-led motion by defining KPIs, building a reporting foundation, and producing analyses that inform marketing decisions. The work combines answering immediate stakeholder questions and troubleshooting data with building durable models and reporting that make future analysis more consistent and efficient. The analyst will contribute to the evolution of the marketing technology stack while working before a formal data warehouse is in place. The position works closely with the Head of Marketing Analytics & Operations, who is the direct manager and a hands-on collaborator. It partners with marketing stakeholders, a data engineer, and company data and BI counterparts to develop measurement, reporting, data sources, and shared standards.

Requirements

Substantial experience analyzing marketing performance and owning analyses end to end.
Advanced SQL skills, including complex joins, window functions, CTEs, and query performance tuning; typically five or more years of experience.
Strong hands-on BI development skills, including data modeling and DAX in Power BI; deep experience with similar tools such as Tableau or Looker is also considered. Typically five or more years of experience.
Working data modeling skills, including building semantic and reporting layers on imperfect source data.
Working knowledge of web or product analytics data; AdvancedMD uses GA4.
Fluency in marketing operations, including demand generation, paid media, lifecycle, and funnel stages, and a point of view on good performance.
Attention to detail and strong troubleshooting instincts.
Ability to structure loosely defined problems and move them forward independently.
Excellent written and verbal communication with non-technical partners.
Bachelor’s degree in a quantitative, business, or related field, or equivalent practical experience.

Nice To Haves

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

Responsibilities

Analyze marketing performance across the funnel, including paid media efficiency, conversion and drop-off, lifecycle performance, and pipeline contribution.
Conduct proactive analysis, identify unasked questions, assess their importance, and bring forward recommendations.
Trace marketing data from first touch through pipeline and revenue, and troubleshoot data issues.
Build measurement for the product-led motion before and through launch, including self-serve signup, activation, and early product usage.
Evaluate channels and campaigns rigorously using test design, holdouts, incrementality, and critical assessment of attribution.
Partner with the Head of Marketing Analytics & Operations to define, build, and own marketing KPIs and their definitions.
Build semantic, pre-report, and report-layer models that make marketing reporting reusable.
Design and maintain Power BI reporting that stakeholders use, and retire reporting that is no longer useful.
Document definitions, logic, and caveats.
Work with marketing stakeholders to turn ambiguous requests into clear questions and answers.
Communicate findings in plain language, with appropriate confidence and clarity about what the data can and cannot support.
Help shape marketing’s data layer as the technology stack modernizes, partnering with the data engineer to enable new sources and with company data and BI counterparts on shared standards.
Provide trusted, data-driven guidance to marketing.