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Mid-level experience band with niche marketing analytics and modern data stack requirements.
Requires marketing domain knowledge plus analytics engineering skills, moderately transferable across industries.
Explicit 4–7 years plus required BI, SQL, marketing CRM and modern data stack skills.
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Build, manage, and optimize marketing analytics data infrastructure and reporting dashboards focusing on campaign performance, pipeline health, and funnel conversion.
Ensure data quality, consistency, and automation of marketing reporting processes in collaboration with marketing, RevOps, and analytics teams.
Advance analytics capabilities using data modeling, automation, AI-driven insights, and possibly attribution and customer journey modeling.
4–7 years of experience in business intelligence, analytics engineering, or related field.
Expert proficiency in SQL; experience with large datasets and marketing/CRM data (e.g., Salesforce, Marketo, Google Analytics).
Experience building complex dashboards with tools like Tableau, Power BI, Looker, or Qlik.
Familiarity with modern data stack tools such as dbt, Snowflake, BigQuery.
Experienced in building scalable, automated reporting solutions integrated with marketing and CRM data sources.
Skilled in data modeling, transformation, validation, and enabling self-service analytics in a collaborative environment with stakeholders.
Has exposure to advanced analytics including AI/ML workflows and attribution modeling to support strategic marketing insights.