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 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 Zoom Info.

* 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 protection.

AI, Predictive Analytics &

Innovation:

* Support development and application of predictive analytics models to improve targeting, forecasting, and campaign performance.

* Leverage AI tools to enhance reporting efficiency, automate insights, and improve decision making.

* Explore opportunities to integrate machine learning and AI-driven analytics into marketing workflows.

* Contribute to building an AI-ready data foundation that supports personalization, segmentation, and performance optimization.

* Stay informed on emerging analytics…