Senior Marketing Data & Analytics Specialist

Make a global impact—join Repligen.
We’re united by a mission to inspire advances in bioprocessing as a preferred partner in the production of biologic drugs that improve human health worldwide. No matter your role or background, at Repligen, you will play a key part in shaping some of the most innovative and life-changing therapies in the world. We foster a culture of purpose, collaboration, and shared success—where every voice matters and every contribution drives progress. Join us!


As a Data & Analytics Specialist, you will support the development, execution, and optimization of marketing analytics and reporting capabilities with a strong focus on data accuracy, AI-driven insights, and performance measurement. Your role will involve working across Salesforce CRM, marketing automation platforms, and analytics tools to deliver actionable insights, enable predictive decision making, and support a scalable, AI-enabled digital marketing ecosystem. This is a hybrid role, requiring 3 days/week onsite in our Waltham, MA location.

“This role is expected to model our Leadership Behaviors—Integrity & Compliance, Customer Focus, Collaboration, Courage, Team Empowerment, and Accountability & Results—in all aspects of work.”

General Requirements:

• Support marketing analytics strategies aligned with organizational goals and digital performance objectives.

• Collaborate with cross-functional teams including digital marketing, CRM, lifecycle, and sales.

• Ensure data integrity and consistency across Salesforce, Pardot, and integrated platforms.

• Utilize data, analytics, and AI-driven insights to inform campaign performance and strategic decisions.

• Stay current with analytics best practices, AI capabilities, and data privacy regulations.

• Support compliance with global data privacy standards including CCPA, GDPR, and related regulations.

Specific Responsibilities:

Reporting & Dashboard Development:

• Build and maintain dashboards and reporting frameworks using tools such as Power BI, Looker Studio, or similar platforms.

• Develop standardized reporting templates to track marketing performance, pipeline, and revenue impact.

• Incorporate AI-driven insights and automated reporting capabilities into dashboards where applicable.

• Ensure data is presented in a clear, concise, and actionable format for stakeholders.

• Support executive and operational reporting needs across marketing and sales teams.

Data Analysis & AI-Driven Insights:

• Analyze campaign performance across channels including web, email, paid media, and lifecycle programs.

• Identify trends, patterns, and optimization opportunities using both traditional analytics and AI-assisted analysis.

• Leverage AI tools to accelerate data exploration, anomaly detection, and insight generation.

• Translate complex data into meaningful insights and recommendations.

• Support A/B testing analysis and performance measurement across digital initiatives.

CRM & Marketing Data Management:

• Work within Salesforce (SFDC) and Pardot to manage, validate, and analyze marketing and lead data.

• Support lead lifecycle tracking, campaign attribution, and pipeline reporting.

• Ensure proper data structure, segmentation, and alignment across systems.

• Perform regular data audits, cleansing, and validation to maintain data quality.

Data Integration & Enrichment:

• Support integration of data across platforms including Salesforce, marketing automation, website analytics, and enrichment tools such as ZoomInfo.

• Assist in managing multi-source data environments to create a unified customer and account view.

• Ensure consistent data flow and accuracy across systems and reporting layers.

Data Storytelling & Business Insights:

• Present insights and findings in a clear, compelling way to both technical and non-technical stakeholders.

• Develop data narratives that connect marketing performance to pipeline, revenue, and business outcomes.

• Utilize AI tools such as ChatGPT, Claude, and similar platforms to assist in summarizing insights and creating executive-ready reporting.

• Support leadership with actionable recommendations based on data analysis and predictive insights.

Data Governance & Privacy Compliance:

• Ensure adherence to data governance standards and best practices across all platforms.

• Support compliance with data privacy regulations including GDPR, CCPA, and global requirements.

• Assist in managing consent data, data usage policies, and regulatory reporting requirements.

• Partner with legal, IT, and operations teams to ensure proper data handling and protectio