Principal Data Analyst, Marketing Analytics

About the role

PTC is a global company that brings the physical and digital worlds together, enabling businesses to improve operations, create better products, and empower people in all aspects of their business. This role is within the Marketing Analytics team, focusing on the measurement of the customer journey and marketing performance.

Responsibilities

• Own and evolve end-to-end measurement of marketing performance across the full customer journey (interactions -> engagement -> pipeline -> revenue).
• Partner with stakeholders to translate business objectives into clear measurement frameworks, success metrics, and analytics roadmap aligned to GTM goals.
• Deliver actionable, data-driven insights that clearly articulate performance drivers, optimization opportunities, and business impact to inform decision-making.
• Lead experimentation and advanced analytics (e.g., multivariate testing, causal inference) and develop predictive models and forecasting approaches to evaluate marketing effectiveness, optimize spend allocation, and improve omnichannel performance and outcome prediction in complex environments.
• Develop, maintain, and evolve dashboards and reporting to support executive decision-making and recurring business cadences (e.g., monthly performance reviews, QBRs), ensuring self-service access, data accuracy, and consistent storytelling.
• Drive cross-functional alignment across Marketing, Sales, and Operations to improve data quality, streamline data pipelines, and strengthen reporting consistency, while defining measurement standards, benchmarks, and governance to enable scalable and trusted decision-making.
• Drive adoption of analytics through stakeholder enablement, including training, documentation, and ongoing consultation.

Requirements

Preferred Experience:

• 5+ years in marketing, growth analytics, or revenue analytics, preferably within a B2B SaaS or enterprise environment.
• Proven experience owning end-to-end marketing measurement, including funnel analytics, customer journey analytics, attribution models, and campaign performance evaluation.
• Demonstrated ability to influence senior stakeholders through data storytelling, strategic insights, and clear recommendations.
• Experience partnering closely with cross-functional teams to align data, processes, and measurement.

Qualifications

Preferred Skills And Knowledge:

• Strong expertise in marketing and revenue data ecosystems, including tools such as Salesforce (SFDC), Eloqua, GA4, Dreamdata (or similar), Qlik, Power BI, Looker Studio, and BigQuery.
• Advanced proficiency in SQL and experience with Python, R, or other statistical programming languages.
• Hands-on experience with cloud data warehousing (e.g., Snowflake), ETL processes, and data modeling.
• Deep understanding of B2B customer journeys, lifecycle marketing, and inbound/outbound strategies.
• Expertise in experimentation, statistical analysis, predictive modeling, and forecasting in complex, multi-channel environments.
• Strong ability to synthesize data from disparate sources into cohesive, insight-driven narratives tied to business outcomes.
• Strong understanding of GTM operations systems, data dependencies, and process optimization.
• Exceptional analytical thinking, problem-solving, and attention to detail, with the ability to balance strategic perspective and execution.
• Strong communication skills, with the ability to lead discussions, challenge assumptions, and drive continuous improvement.

Skills

Strong expertise in marketing and revenue data ecosystems, including tools such as Salesforce (SFDC), Eloqua, GA4, Dreamdata (or similar), Qlik, Power BI, Looker Studio, and BigQuery. Advanced proficiency in SQL and experience with Python, R, or other statistical programming languages. Hands-on experience with cloud data warehousing (e.g., Snowflake), ETL processes, and data modeling. Deep understanding of B2B customer journeys, lifecycle marketing, and inbound/outbound strategies. Expertise in experimentation, statistical analysis, predictive modeling, and forecasting in complex, multi-channel environments. Strong ability to synthesize data from disparate sources into cohesive, insight-driven narratives tied to business outcomes. Strong understanding of GTM operations systems, data dependencies, and process optimization. Exceptional analytical thinking, problem-solving, and attention to detail, with the ability to balance strategic perspective and execution. Strong communication skills, with the ability to lead discussions, challenge assumptions, and drive continuous improvement.

Benefits

Precise details on benefits are not provided in the job posting. Please refer to the careers page for more information.

Pay

The anticipated annual salary range for this position is between $100,000 - 120,000. The anticipated annual salary range encompasses both the base salary and the on-target incentive compensation that may be attained in this role. The salary range reflects a good-faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location.

Schedule

The anticipated schedule for this position is not provided in the job posting. Please refer to the careers page for more information.