HumCap
http://humcapinc.com
http://humcapinc.com
true
Marketing Data Analyst
Location: Remote Department: Marketing
About the Role
We’re looking for a Marketing Data Analyst to be the go-to expert for all things data on our marketing team. This person will transform raw numbers into meaningful insights that help us understand what’s working, what’s not, and where to optimize. They’ll partner with marketers across channels to monitor performance, identify trends, and guide smarter decision-making.
Key Responsibilities
Web & Conversion Analytics Monitor overall website traffic and user behavior.
Identify top channels, referral sources, and conversion paths.
Analyze top-converting pages and provide recommendations for optimization.
Paid Media Review campaign performance across Google, Meta, and other platforms.
Compare spend vs. Conversions to determine ROI.
Surface insights on the best-performing campaigns and suggest budget reallocation.
Email, Push & SMS Marketing Track open rates, CTR, conversions, unsubscribe trends and deliverability.
Identify top-performing content and audience segments.
Provide insights to improve deliverability and engagement.
Social Media & Content Monitor engagement metrics across social platforms.
Identify content types and campaigns driving the most interaction and reach.
Recommend adjustments for improved performance.
Testing & Optimization Analyze A/B and multivariate test results.
Provide clear, data-driven recommendations on winning variants.
Document learnings and create feedback loops for future campaigns.
Collaboration & Data Integration
Collaborate with Business Intelligence employees (analysts, data scientists, data engineers) and other stakeholders to provide data-driven solutions.
Work closely with BI to ensure data pipelines are accurate, scalable, and reliable.
Conduct advanced data analysis using Snowflake and other data platforms to extract actionable insights from complex datasets.
Data & Reporting Build dashboards and reports
Use Excel/Google Sheets to create pivot tables and advanced analysis.
Translate complex data into simple insights for marketing and leadership teams.
Qualifications
2–4 years of experience in marketing analytics, digital marketing, or a similar role.
Strong proficiency in Google Analytics, Meta Ads Manager, and other platform dashboards.
Experience analyzing performance across web, paid media, email, and social channels.
Ability to turn complex data into clear, actionable insights.
SQL and data visualization experience (ThoughtSpot, Tableau, Looker, etc.).
Background in customer segmentation, cohort analysis, or statistical/predictive modeling.
Solid understanding of marketing metrics (ROAS, CAC, LTV, CTR, conversion rates).
Understanding of basic data engineering concepts around data pipelines, ELT, APIs, etc.
Advanced Excel/Google Sheets skills (pivot tables, formulas, data visualization).
Strong communication skills for presenting findings to both marketing peers and leadership.
What Success Looks Like
Marketing campaigns become more efficient and targeted thanks to your insights.
The team has a clear view of what channels and campaigns drive growth.
Testing leads to measurable lifts in conversions and engagement.
You become a trusted advisor to marketing leaders by consistently surfacing opportunities for optimization.
Marketing Data Analyst
Dallas, TX US
Posted: 12/09/2025
2025-12-09
2026-01-08
Job Number: Job-7436
Job Description
Marketing Data Analyst
Location: Remote Department: Marketing
About the Role
We’re looking for a Marketing Data Analyst to be the go-to expert for all things data on our marketing team. This person will transform raw numbers into meaningful insights that help us understand what’s working, what’s not, and where to optimize. They’ll partner with marketers across channels to monitor performance, identify trends, and guide smarter decision-making.
Key Responsibilities
Web & Conversion Analytics Monitor overall website traffic and user behavior.
Identify top channels, referral sources, and conversion paths.
Analyze top-converting pages and provide recommendations for optimization.
Paid Media Review campaign performance across Google, Meta, and other platforms.
Compare spend vs. Conversions to determine ROI.
Surface insights on the best-performing campaigns and suggest budget reallocation.
Email, Push & SMS Marketing Track open rates, CTR, conversions, unsubscribe trends and deliverability.
Identify top-performing content and audience segments.
Provide insights to improve deliverability and engagement.
Social Media & Content Monitor engagement metrics across social platforms.
Identify content types and campaigns driving the most interaction and reach.
Recommend adjustments for improved performance.
Testing & Optimization Analyze A/B and multivariate test results.
Provide clear, data-driven recommendations on winning variants.
Document learnings and create feedback loops for future campaigns.
Collaboration & Data Integration
Collaborate with Business Intelligence employees (analysts, data scientists, data engineers) and other stakeholders to provide data-driven solutions.
Work closely with BI to ensure data pipelines are accurate, scalable, and reliable.
Conduct advanced data analysis using Snowflake and other data platforms to extract actionable insights from complex datasets.
Data & Reporting Build dashboards and reports
Use Excel/Google Sheets to create pivot tables and advanced analysis.
Translate complex data into simple insights for marketing and leadership teams.
Qualifications
2–4 years of experience in marketing analytics, digital marketing, or a similar role.
Strong proficiency in Google Analytics, Meta Ads Manager, and other platform dashboards.
Experience analyzing performance across web, paid media, email, and social channels.
Ability to turn complex data into clear, actionable insights.
SQL and data visualization experience (ThoughtSpot, Tableau, Looker, etc.).
Background in customer segmentation, cohort analysis, or statistical/predictive modeling.
Solid understanding of marketing metrics (ROAS, CAC, LTV, CTR, conversion rates).
Understanding of basic data engineering concepts around data pipelines, ELT, APIs, etc.
Advanced Excel/Google Sheets skills (pivot tables, formulas, data visualization).
Strong communication skills for presenting findings to both marketing peers and leadership.
What Success Looks Like
Marketing campaigns become more efficient and targeted thanks to your insights.
The team has a clear view of what channels and campaigns drive growth.
Testing leads to measurable lifts in conversions and engagement.
You become a trusted advisor to marketing leaders by consistently surfacing opportunities for optimization.
