Senior Marketing Data Analyst AdTech/Media Analytics

Sysmind, LLC; United States; Remote; USD 67,000 - 71,000; Full time

Job summary

Sysmind, LLC is seeking an experienced Senior Marketing Data Analyst to support data-driven decision-making across digital advertising, marketing measurement, and media analytics.

The ideal candidate has strong hands-on SQL and Python, expertise in campaign measurement, attribution, and BI reporting, and can translate complex analytics into actionable recommendations for technical and business stakeholders.

Qualifications

• 9 years of experience in data analytics, marketing analytics, or data science.
• Strong hands-on experience with SQL and Python.
• Strong understanding of marketing measurement, attribution models, and campaign analytics.
• Experience developing dashboards with Tableau, Looker, or comparable BI platforms.
• Experience working with large-scale datasets and data modeling.
• Strong analytical, communication, and presentation skills.
• Ability to translate complex analytical results into actionable business recommendations.
• Ability to work independently across multiple analytics initiatives.
• Ability to work during Pacific Time business hours.

Responsibilities

• Lead end-to-end analytics initiatives focused on campaign measurement, attribution, and performance tracking.
• Analyze large, multi-source datasets to identify actionable insights for marketing and media strategies.
• Develop interactive dashboards and scalable reporting solutions using Tableau, Looker, or similar BI platforms.
• Define KPIs and measurement frameworks aligned with business objectives.
• Apply statistical techniques and experimentation methodologies to evaluate campaign effectiveness.
• Translate analytical findings into clear recommendations for technical and business stakeholders.
• Build reusable analytical models, frameworks, and reporting templates.
• Collaborate with Product, Engineering, Customer Success, Marketing, and other cross-functional teams.
• Identify opportunities to improve data quality, reporting processes, and analytical methodologies.
• Support enhancements to analytics capabilities and data-driven products.
• Independently manage multiple analytical initiatives and deliverables.

Skills

SQL

Python

Marketing Analytics

Data Analytics

Campaign Measurement

Marketing Attribution

Performance Analytics

Data Modeling

Tableau

Looker

Tools

Tableau

Looker

Job description

Location: Remote

Work Arrangement: Remote --- PST Hours

Employment Type: Long-Term Contract

Min Pay: $48.28/hr

Max Pay: $51.85/hr

Primary Skills

• Marketing Analytics
• Data Analytics
• SQL
• Python
• Campaign Measurement
• Marketing Attribution
• Performance Analytics
• Data Modeling
• Tableau
• Looker

Secondary Skills

• AdTech
• MarTech
• Digital Media Analytics
• Customer Insights
• Statistical Analysis
• Experimentation
• KPI & Measurement Frameworks
• Amazon Marketing Cloud
• Google Ads Data Hub
• Clean Room Environments
• TV / CTV Measurement
• Cross-Channel Media Measurement
• Reporting & Dashboard Development
• Data Quality
• Analytics Frameworks

Job Description

We are seeking an experienced Senior Marketing Data Analyst to support data-driven decision-making across digital advertising, marketing measurement, and media analytics.

The ideal candidate will have strong hands-on experience with SQL and Python, campaign measurement, attribution, performance analytics, large-scale datasets, and BI reporting. The role requires the ability to translate complex analytical findings into actionable recommendations for both technical and business stakeholders.

Key Responsibilities

• Lead end-to-end analytics initiatives focused on campaign measurement, attribution, and performance tracking.
• Analyze large, multi-source datasets to identify actionable insights for marketing and media strategies.
• Develop interactive dashboards and scalable reporting solutions using Tableau, Looker, or similar BI platforms.
• Define KPIs and measurement frameworks aligned with business objectives.
• Apply statistical techniques and experimentation methodologies to evaluate campaign effectiveness.
• Translate analytical findings into clear recommendations for technical and business stakeholders.
• Build reusable analytical models, frameworks, and reporting templates.
• Collaborate with Product, Engineering, Customer Success, Marketing, and other cross-functional teams.
• Identify opportunities to improve data quality, reporting processes, and analytical methodologies.
• Support enhancements to analytics capabilities and data-driven products.
• Independently manage multiple analytical initiatives and deliverables.

Required Qualifications

• 9 years of experience in data analytics, marketing analytics, or data science.
• Strong hands-on experience with SQL and Python.
• Strong understanding of marketing measurement, attribution models, and campaign analytics.
• Experience developing dashboards with Tableau, Looker, or comparable BI platforms.
• Experience working with large-scale datasets and data modeling.
• Strong analytical, communication, and presentation skills.
• Ability to translate complex analytical results into actionable business recommendations.
• Ability to work independently across multiple analytics initiatives.
• Ability to work during Pacific Time business hours.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.

Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.