Jobs via Dice
Leader in their industry, our exciting global SaaS construction platform client seeks a contract Marketing Analyst. This is a fully remote role.
We are seeking a data-driven, technically skilled Marketing Analyst to join our digital marketing team. You will partner closely with Marketing, RevOps, and Data Engineering to drive data strategy, enable full-funnel visibility, and optimize marketing performance throughout the B2B buyer journey. This role involves analyzing complex datasets, understanding existing data models, and delivering actionable insights through Tableau dashboards.
Contract Duration 6 months
Required Skills & Experience
5-7 years of experience in marketing analytics, revenue operations, or business intelligence in SaaS, tech, or enterprise software.
Strong SQL proficiency and experience with cloud data warehouses (preferably Snowflake).
Proficiency in Tableau (or similar BI tools like Looker or Power BI) for dashboarding and visual storytelling.
Deep understanding of Adobe Analytics or web data for modeling and analysis.
Familiarity with B2B funnel metrics, web analytics, and marketing attribution frameworks.
Excellent communication skills, with the ability to translate complex data into business insights.
Desired Skills & Experience
5+ years in a data analytics role with a focus on marketing.
Experience with modern data analytics stack (e.g., dbt, Snowflake, Tableau).
Experience with MarTech tools such as Google Tag Manager, Google Analytics, Adobe Analytics, and Marketo.
Hands‑on experience with DBT for data modeling and transformation or ability to work with data engineering on models.
Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
Responsibilities
Marketing Data Modeling & Analysis: Optimize existing DBT models in collaboration with Data Engineering to audit marketing and web analytics data to align with current Adobe systems.
Build and maintain marketing performance dashboards in Tableau, focused on key KPIs such as MQLs, SQLs, pipeline influence, and ARR, as well as top of funnel web metrics like sessions, quality visits, and form fills by channel & content.
Conduct ad‑hoc and deep‑dive analyses to uncover insights on lead quality, conversion paths, and web engagement.
Marketing & Web Analytics: Lead analysis of digital performance metrics, including website traffic, SEO, A/B testing, and user journeys.
Model and validate data from Adobe Analytics, Google Analytics (GA4), and Google Search Console to support reporting and analysis.
Attribution & Funnel Optimization: Support multi‑touch attribution modeling (e.g., first‑touch, last‑touch, linear), and deliver insights that drive strategic marketing decisions.
Partner with Marketing and RevOps to map and analyze the B2B marketing funnel – from website behavior and lead capture to opportunity creation and revenue attribution.
Develop segmented funnel reports by account type and channel to support planning and resource allocation.
Reporting & Data Governance: Own reporting for marketing campaigns, channels, and the website, providing stakeholders with actionable insights.
Ensure data quality, consistency, and governance across reporting layers and data sources.
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We are seeking a data-driven, technically skilled Marketing Analyst to join our digital marketing team. You will partner closely with Marketing, RevOps, and Data Engineering to drive data strategy, enable full-funnel visibility, and optimize marketing performance throughout the B2B buyer journey. This role involves analyzing complex datasets, understanding existing data models, and delivering actionable insights through Tableau dashboards.
Contract Duration 6 months
Required Skills & Experience
5-7 years of experience in marketing analytics, revenue operations, or business intelligence in SaaS, tech, or enterprise software.
Strong SQL proficiency and experience with cloud data warehouses (preferably Snowflake).
Proficiency in Tableau (or similar BI tools like Looker or Power BI) for dashboarding and visual storytelling.
Deep understanding of Adobe Analytics or web data for modeling and analysis.
Familiarity with B2B funnel metrics, web analytics, and marketing attribution frameworks.
Excellent communication skills, with the ability to translate complex data into business insights.
Desired Skills & Experience
5+ years in a data analytics role with a focus on marketing.
Experience with modern data analytics stack (e.g., dbt, Snowflake, Tableau).
Experience with MarTech tools such as Google Tag Manager, Google Analytics, Adobe Analytics, and Marketo.
Hands‑on experience with DBT for data modeling and transformation or ability to work with data engineering on models.
Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
Responsibilities
Marketing Data Modeling & Analysis: Optimize existing DBT models in collaboration with Data Engineering to audit marketing and web analytics data to align with current Adobe systems.
Build and maintain marketing performance dashboards in Tableau, focused on key KPIs such as MQLs, SQLs, pipeline influence, and ARR, as well as top of funnel web metrics like sessions, quality visits, and form fills by channel & content.
Conduct ad‑hoc and deep‑dive analyses to uncover insights on lead quality, conversion paths, and web engagement.
Marketing & Web Analytics: Lead analysis of digital performance metrics, including website traffic, SEO, A/B testing, and user journeys.
Model and validate data from Adobe Analytics, Google Analytics (GA4), and Google Search Console to support reporting and analysis.
Attribution & Funnel Optimization: Support multi‑touch attribution modeling (e.g., first‑touch, last‑touch, linear), and deliver insights that drive strategic marketing decisions.
Partner with Marketing and RevOps to map and analyze the B2B marketing funnel – from website behavior and lead capture to opportunity creation and revenue attribution.
Develop segmented funnel reports by account type and channel to support planning and resource allocation.
Reporting & Data Governance: Own reporting for marketing campaigns, channels, and the website, providing stakeholders with actionable insights.
Ensure data quality, consistency, and governance across reporting layers and data sources.
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