Senior Marketing Data – Analytics Specialist

🔥 0 minutes ago

🍂 Massachusetts, Virginia, +4 more states – Remote

🍂 Massachusetts – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $95k - $110k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Repligen Corporation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🧬 Biotechnology

🔧 Hardware

🤝 B2B

💰 $600M Post-IPO Debt - Repligen on 2023-12

Biotechnology • Hardware • B2B

<Repligen Corporation> Repligen Corporation is a life sciences company focused on bioprocessing technology leadership, providing scalable hardware, consumables and software for development and manufacture of biologic drugs and advanced therapies. Its portfolio includes upstream intensification systems (XCell ATF, KrosFlo TFDF), tangential flow filtration devices (KrosFlo, TangenX), chromatography systems and resins (KRM, OPUS, affinity and ion exchange resins), single-use fluid management and mixing solutions (ProConnex, MixOne, FlexBiosys products), dialysis devices, and real-time process analytics and control software (PATsmart, SoloVPE, FlowVPX). Repligen supports production of antibodies, proteins, viral vectors, mRNA, pDNA and other emerging modalities, and offers services, configurators and cGMP-ready solutions for biopharmaceutical manufacturers.

📋 Description

• 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. • 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. • 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. • 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. • 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. • Ensure adherence to data governance standards and best practices across all platforms. • Support compliance with data privacy regulations including GDPR, CCPA, and global requirements. • Partner with digital marketing, lifecycle, and campaign teams to align analytics with business objectives. • Work closely with CRM and marketing operations teams to ensure data accuracy and usability. • Collaborate with leadership to define KPIs and success metrics.

🎯 Requirements

• Bachelor’s degree in Data Analytics, Marketing, Business, or related field. • 3 to 6 years of experience in marketing analytics, business intelligence, or data analysis roles. • Strong experience with Power BI and/or other data visualization tools. • Experience working with Salesforce (SFDC) and Pardot or similar marketing automation platforms. • Experience with data enrichment tools such as ZoomInfo or similar platforms. • Strong analytical and problem-solving skills with attention to detail. • Ability to translate data into clear insights and business recommendations. • Experience with data governance and privacy regulations including GDPR and CCPA. • Familiarity with AI tools such as ChatGPT, Claude, or similar platforms for data analysis and reporting. • Exposure to predictive analytics, data modeling, or machine learning concepts preferred. • Strong communication and collaboration skills across cross-functional teams.

🏖️ Benefits

• paid time off • health/dental/vision • retirement benefits • flexible spending accounts