Senior Marketing Data Analyst

Global Payment Holding Company; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Global Payment Holding Company is seeking a Senior Marketing Data Analyst to join the Marketing Operations team. You will serve as a strategic partner to marketing and enterprise data teams, delivering business-ready data solutions and shaping global marketing strategies through data-driven insights.

You will own the design and maintenance of scalable data pipelines, ensure data integrity, and build advanced dashboards in Power BI and other visualization tools.

Qualifications

• Minimum 6+ years of experience in data analysis, BI, or marketing analytics.
• Proficiency in SQL and Python for data extraction, manipulation, and reporting.
• Experience with CRM, marketing automation, and segmentation platforms such as Salesforce, Marketo, Pardot, and CDPs.

Responsibilities

• Partner with marketing and enterprise data teams to deliver business-ready data solutions.
• Shape, optimize, and improve marketing strategies using data-driven insights.
• Design and maintain scalable data pipelines and dashboards (Power BI and other tools).
• Ensure data integrity and enable scalable access to marketing data across systems such as CRM, GA4, and marketing automation tools.
• Translate complex data into clear, actionable insights and business narratives.
• Lead data governance, QA, and cross-functional collaboration to align data strategy with marketing goals.

Skills

Data analysis

Marketing analytics

SQL

Python

Data visualization

Power BI

Leadership

Education

Bachelor's degree

Tools

Snowflake

BigQuery

Salesforce

Marketo/Pardot

GA4

Google Analytics

Tableau

Power BI

Looker

Snowflake/BigQuery

Job description

Job Description

Ready to take your career global?

Make your mark at one of the biggest names in payments. We're looking for a Senior Marketing Data Analyst to join our ever evolving Marketing Operations team and help shape the future of global commerce.

What you'll own

• Serve as a strategic partner to marketing and enterprise data teams to deliver business-ready data solutions.
• Leverage data-driven insights to shape, optimize, and improve marketing strategies.
• Optimize and maintain marketing data infrastructure to support analytics and reporting needs.
• Ensure data integrity while enabling scalable and efficient access to marketing data.
• Design and build scalable data pipelines to support marketing initiatives and decision-making.
• Translate complex data into clear, actionable insights and business narratives.
• Drive business growth through advanced data analysis and data visualization.
• Apply expertise in data normalization, attribution methodologies, marketing metrics, and customer lifecycle analysis.
• Collaborate with cross-functional teams to ensure data-driven insights guide marketing initiatives.
• Enhance marketing performance through data manipulation, exploration, reporting, and strategic recommendations.
• Guide marketing data strategy by identifying trends, opportunities, and best practices.
• Support informed decision-making by delivering accurate, meaningful, and accessible marketing analytics.

What you'll bring

• Serve as primary liaison with Enterprise Data, Finance/BI, RevOps, Tech and cross-functional partners to integrate, govern, and standardize marketing data across systems (CRM, Snowflake, Salesforce, Marketo/Pardot, GA4, and other marketing technologies).
• Partner with Enterprise Data to design, implement, and maintain scalable data pipelines and architectures in Snowflake, BigQuery, and related tools to ensure clean, business-ready, and well-documented data assets that support marketing performance reporting and analytics.
• Define, standardize, and maintain governing marketing data infrastructure, ensuring consistency of key metrics, taxonomies, and architecture across global marketing teams.
• Partner with Finance and BI to develop, refine, and operationalize marketing attribution methodologies that connect marketing influence to pipeline and revenue outcomes.
• Monitor, validate, and optimize data flows and integrations, establishing QA processes, anomaly detection, and documentation to ensure accuracy and trustworthiness of data.
• Lead data stewardship efforts, supporting data governance, compliance, and integration standards across platforms and global teams.
• Extract, refine, and manage complex campaign and audience lists for segmentation, targeting, and activation; ensure accuracy, compliance, and alignment with ICP definitions and marketing objectives.
• Build, analyze, and optimize audience segments across platforms (e.g., Salesforce, ZoomInfo, CDPs, Google Analytics, Google Ads) to support global campaigns and demand generation efforts.
• Conduct deep-dive data analysis, combining multiple systems and large datasets to generate actionable insights on customer behavior, lifecycle performance, and marketing ROI.
• Build and maintain advanced dashboards and reports in Power BI and other visualization platforms, ensuring accessibility, accuracy, and usability for marketing stakeholders and executives.
• Support ad hoc analysis requests, executive scorecards, and MBR/QBR reporting to evaluate marketing performance and business impact.
• Provide elevated team leadership by mentoring and supporting colleagues on complex data pulls, insights analysis, dashboard design, segmentation, and systems requirements.
• Act as a cross-functional liaison, bridging marketing with enterprise data, technology, and business stakeholders to align on data strategy, requirements, and execution.
• Proactively explore new technologies, tools, and best practices to advance marketing data operations, segmentation, and performance reporting capabilities.

It's a bonus if you have:

• Bachelor's degree in Marketing, Business, Statistics, Data Analytics, Data Science, or a related field.
• 6+ years of experience in data analysis, reporting, business intelligence, or marketing analytics.
• Strong understanding of marketing metrics, customer lifecycle management, audience targeting, lead management, and marketing best practices.
• Proficiency in SQL and Python for data extraction, manipulation, analysis, and reporting.
• Experience working with data warehouses and BI/visualization tools such as Tableau, Power BI, Looker, Snowflake, BigQuery, Excel, and Power Query.
• Strong expertise in data cleansing, data integration, exploratory analysis, reporting, dashboard development, and data visualization best practices.
• Experience with CRM, marketing automation, and segmentation platforms such as Salesforce, Marketing Cloud/Pardot, Marketo, CDPs, Google Analytics, and similar tools.
• Knowledge of forecasting techniques, marketing analytics frameworks, attribu