Senior Marketing Data & Analytics Specialist

RepliGen Corporation•Wyoming, MI

2d•$95,000 - $110,000

About The Position

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.

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.
Strong communication and collaboration skills across cross-functional teams.

Nice To Haves

Exposure to predictive analytics, data modeling, or machine learning concepts preferred.

Responsibilities

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.
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.
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.
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.
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.
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.
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 technologies and support digital transformation initiatives.
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.
Support global teams with consistent reporting and analytics standards.