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Senior Marketing Data & Analytics Specialist

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Repligen Corporation
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Specific Responsibilities

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.
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…
Position Requirements
10+ Years work experience
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