Marketing Data Analyst

job summary

We require a highly skilled Marketing Data Analyst to robustly support our Digital Marketing Strategy team. The successful candidate will excel in analyzing extensive datasets to identify opportunities for targeted, scalable marketing and sales initiatives, extracting valuable insights to guide the development of key commercial programs.

The ideal candidate will possess expertise in data mining, advanced analytics, and marketing performance measurement. You should be adept at crafting and running analytical simulations with a proven track record of driving tangible business outcomes through data-driven insights. In addition to technical execution, you will thrive in a collaborative environment, working closely with cross-functional teams, marketing operations, and sales leadership.

location: Telecommute

job type: Contract

salary: $35 - 40 per hour

work hours: 8am to 5pm

education: Bachelors

responsibilities

• Collaborate with marketing and sales teams to understand business requirements and operational challenges.
• Partner with Marketing Operations and business stakeholders to establish standardized definitions for marketing and sales KPIs.
• Use statistical models for descriptive and inferential data analysis.
• Design and conduct experiments to establish causal inference and quantify campaign incrementality.
• Develop intuitive visualizations and automated reports to present the results of analyses and experiments to leadership.
• Analyze marketing and sales performance across the full customer lifecycle, including acquisition, engagement, lead generation, qualification, pipeline creation, opportunity progression, and revenue conversion.
• Identify performance gaps, anomalies, emerging trends, and growth opportunities across campaigns, audiences, customer segments, accounts, and geographies.
• Develop and maintain end-to-end funnel reporting that connects marketing activities directly to pipeline conversion, closed sales, and revenue outcomes.
• Mine internal and external data stores to collect, clean, validate, and integrate large structured and unstructured datasets.
• Devise and apply algorithms and models for behavioral mapping, customer segmentation, trend identification, and performance forecasting.
• Create and optimize interactive PowerBI and Tableau dashboards for multi-tiered stakeholder visibility.

qualifications

• Bachelor's or Master's degree in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
• 2+ years of professional data analytics experience driving commercial marketing and sales impact.
• 2+ years of project management experience within a corporate or cross-functional analytics setting.
• Advanced experience working with enterprise CRM platforms-preferably Salesforce (SFDC)-including building custom reports and dashboards, architecting campaign structures, and working with Lead, Contact, Account, and Opportunity objects and underlying CRM data models.
• Familiarity with digital marketing and marketing automation platforms (e.g., Adobe Analytics, Claravine, Eloqua, HubSpot), including tracking campaign performance, contact lifecycle stages, and engagement metrics.
• Strong proficiency in SQL for querying and transforming data from large-scale databases, alongside programming experience in Python or SAS.
• Demonstrated experience in statistical analysis, pattern recognition, predictive modeling, error analysis, and experimental design (A/B testing, causal inference).
• Hands-on experience developing reports and dashboards in PowerBI, Tableau, Excel, and PowerPoint.
• Proven ability to work effectively within dynamic, cross-functional teams managing multi-faceted global projects.

skills

• Adobe Analytics
• marketing automation platforms
• CRM data
• data analysis skills
• data analysis
• data analytics
• data mining
• pipeline creation
• Eloqua
• Hubspot
• machine learning models
• machine learning
• Excel
• PowerPoint
• pattern recognition
• programming languages
• Python
• SAS
• SQL
• Salesforce
• SFDC
• Tableau
• work effectively
• passion
• troubleshoot
• independently
• collaborative
• teamwork
• algorithm
• algorithms
• applied mathematics
• customer needs
• customer lifecycle
• dashboards
• data science
• digital marketing strategy
• digital marketing
• experiments
• error analysis
• forecasting
• lead generation
• geographies
• crafting
• innovative
• sales KPIs
• campaign
• mathematics
• statistical models
• statistical analysis
• statistics
• Marketing
• Marketing Operations
• predictive modeling
• project management
• analysis methodologies
• sales
• Sales programs
• Sales processes
• CRM reports
• simulations
• Identify trends