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Marketing Analytics Lead
PRIMARY PURPOSE OF THE ROLE : The Marketing Analytics Lead builds, maintains, and operationalizes a trusted marketing data foundation that powers reporting, insights, and AI-ready analytics. This role is primarily a marketing data engineering position with secondary responsibility for insights and performance reporting. The Marketing Analytics Lead designs and manages scalable ETL/ELT pipelines and analytics-ready data models across the marketing ecosystem-CRM, marketing automation, paid media, web analytics, and messaging platforms-ensuring data is accurate, governed, and accessible for full-funnel measurement.
ESSENTIAL RESPONSIBILITIES MAY INCLUDE
Marketing Data Engineering (ETL/ELT, Warehousing & Modeling)
Designs, develops, and maintains reliable ETL/ELT pipelines that ingest and unify marketing data from multiple systems (e.g., CRM, marketing automation, paid media, web analytics), ensuring timely and accurate data availability.
Builds and optimizes analytics data stores and curated, analytics-ready datasets that support scalable reporting, self-service analysis, and standardized full-funnel measurement.
Develops and maintains marketing data models and reusable structures that enable core use cases such as campaign performance, funnel and conversion analysis, attribution/influence reporting, and account lifecycle measurement.
Implements and maintains standardized definitions, keys, and documentation (e.g., taxonomies, lifecycle stages, lineage, metadata) to ensure consistent interpretation, data quality, and downstream usability.
Reporting, Insight & Stakeholder Enablement
Builds and maintains dashboards and recurring performance reporting that supports marketing leadership, demand generation, and sales alignment-focused on business outcomes (pipeline contribution, revenue influence, account engagement).
Partners with the Marketing Analytics Director to deliver insights and recommendations by summarizing trends, identifying drivers, and highlighting opportunities for optimization across channels and funnel stages.
Translates stakeholder questions into analytical approaches, ensuring metrics and outputs are clear, actionable, and aligned to documented definitions.
Supports measurement approaches for B2B marketing motions (ABM/account engagement, lead nurturing, sales enablement influence, events/webinars, and partner marketing) by enabling consistent tracking, reporting, and interpretation.
Monitoring, Reliability & Cost/Performance Optimization
Monitors and troubleshoots pipelines and integrations; proactively identifies failure points, resolves incidents, and improves resiliency through alerting, validation checks, and documented recovery steps.
Optimizes queries, storage, and processing costs in cloud and/or on-prem environments by tuning pipelines, applying partitioning/cluster strategies where applicable, and improving transformation efficiency.
Maintains detailed runbooks and operational documentation to support continuity, scalability, and onboarding.
Data Quality, Governance, Security & Compliance
Ensures data quality, accuracy, reliability, and performance across the marketing data ecosystem through validation rules, anomaly detection, automated testing, and monitoring.
Implements data governance best practices, including documentation, data dictionaries, naming conventions, retention guidelines, and access controls aligned with enterprise standards.
Partners with IT, security, privacy, and compliance stakeholders to ensure data handling aligns with regulatory expectations and internal policies (e.g., least-privilege access, PII controls).
Establishes and maintains clear source logic for key marketing entities (accounts, contacts/leads, campaigns, opportunities) within the marketing data domain, including identity resolution and deduplication techniques.
Cross-Functional Collaboration
Collaborates closely with Performance Marketing, Demand Generation, Sales Ops/RevOps, Finance, and IT to align on KPIs, attribution approaches, and data definitions within the marketing measurement ecosystem.
Supports enablement of broader marketing teams through documentation, training, and consultation on how to use datasets and dashboards effectively.
Leads discrete workstreams or small projects by coordinating timelines, requirements, and dependencies across stakeholders without direct people management responsibility.
QUALIFICATIONS
Bachelor's degree in marketing or a related field from an accredited college or university preferred. Six (6) years of experience in marketing analytics, marketing data engineering, data engineering, BI engineering, or closely related roles-preferably in B2B, services, or complex sales cycles, or equivalent combination of education and experience required.
Demonstrated ability to build and maintain ETL/ELT pipelines that integrate data from CRM, marketing automation, advertising, and web/product analytics platforms.
Strong background working with CRM and marketing platforms (e.g., Salesforce/HubSpot; Marketo, Pardot, Braze), including funnel, lifecycle, campaign, and opportunity data.
Proficiency incorporating digital advertising and web analytics data (e.g., Google Ads, Meta, LinkedIn, GA4, Adobe Analytics, Segment) to support attribution and performance measurement.
Deep understanding of data warehousing and analytics engineering best practices, including dimensional modeling and supporting downstream reporting and dashboards.
Experience operating in environments requiring high standards for data quality, governance, privacy, and compliance.
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com