Marketing Data & Business Analyst Marketing Automation Operations

Job Description

About the Role

We're looking for an experienced Marketing Data & Business Analyst to own end-to-end administration of our marketing automation platform (Eloqua) and serve as the go-to person for diagnosing issues across the full lead data pipeline from campaign execution through CRM sync and into downstream reporting systems. This role sits at the intersection of marketing operations and data analysis: you'll build and maintain the campaigns and infrastructure that generate leads, manage the full lead lifecycle from inquiry to sales handoff, and independently investigate and resolve data integrity issues as leads move through the system. You'll also serve as reliable backup coverage for the existing analyst, so strong documentation and full-chain system fluency matter as much as hands-on execution.

Key Responsibilities

Pipeline Management

• Administer Eloqua end-to-end build and maintain forms, campaigns, programs, segments, and lead scoring models
• Monitor leads as they move through qualification and routing into Salesforce
• Own the health and accuracy of the marketing automation platform as a system of record

Lead Lifecycle & Scoring Management

• Manage and monitor the complete lead lifecycle from Inquiry MQL Salesforce Sales follow-up
• Maintain lead-scoring rules, qualification criteria, MQL thresholds, cooling periods, and exception handling
• Investigate leads that are incorrectly scored, not scored, duplicated, delayed, or routed incorrectly
• Understand the distinction between marketing automation qualification, Salesforce Lead/Lead Action creation, routing, and downstream MQL reporting

Root Cause Diagnosis

• Trace vanished, duplicated, or delayed leads and identify sync breaks across the full data chain not just marketing automation Salesforce, but onward through downstream data warehouses and internal databases as well
• Independently investigate data discrepancies, propose fixes, and document findings for stakeholders
• Distinguish one-off data issues from systemic/recurring breaks that need a process or configuration fix

Data Quality & Compliance

• Own deduplication and reconciliation across marketing and CRM systems
• Manage consent, opt-out, and unsubscribe processes in line with GDPR and CAN-SPAM

Stakeholder Management & Documentation

• Communicate regularly with Marketing, Sales Ops, Web, and BI teams
• Document processes, field mappings, and known issues thoroughly enough that this role can reliably serve as backup coverage for the existing analyst

End-to-End System Fluency

• Understand the full chain lead capture marketing automation qualification Salesforce downstream data warehouses/reporting systems well enough to troubleshoot across it, rather than being a specialist in only one platform

Requirements

• 3+ years of experience in Marketing Operations, Marketing Automation, CRM Operations, or a data/business analyst role involving marketing or lead data
• Hands-on, end-to-end administration experience with Eloqua (strongly preferred) or a comparable platform (Marketo, HubSpot, Pardot, Adobe Campaign)
• Strong working knowledge of Salesforce or a similar CRM leads, contacts, campaigns, campaign members, lead status/routing
• Proven experience tracing data issues across multiple connected systems (marketing automation CRM downstream databases/warehouses)
• Strong SQL skills for data investigation and reconciliation
• Practical understanding of GDPR, CAN-SPAM, and consent/opt-out management
• Excellent analytical and root-cause diagnostic skills comfortable working through ambiguous, multi-system data problems independently
• Strong written and verbal communication able to explain technical data issues clearly to non-technical stakeholders and document processes for others to follow
• Good understanding of the full lead lifecycle: capture, scoring, qualification, routing, and reporting

Nice to Have

• Experience with Snowflake or similar data warehouse platforms
• Exposure to lead scoring model design and MQL threshold management
• Experience with Tableau, Power BI, or other reporting/visualization tools
• Experience documenting SOPs, data flow diagrams, and troubleshooting runbooks