Marketing Operations Analyst (Data & Systems)

SentinelOne

17h•Onsite

About The Position

SentinelOne is seeking a Marketing Operations Analyst (Data & Systems) to join their team. This role focuses on the technical research and optimization of their marketing engine, rather than campaign execution. The analyst will be responsible for investigating complex systems, solving data puzzles, performing deep-dive audits, cleaning legacy data, and analyzing system architecture. They will also serve as the Secondary Administrator for the MarTech stack, providing support, AI-informed recommendations, and strategic guidance. The ideal candidate will have a strong background in Marketing Operations with a focus on data analysis and systems architecture, advanced proficiency in Marketo and Salesforce, and an analytical mindset for technical troubleshooting. AI fluency is also a key requirement for this role.

Requirements

3 or more years in Marketing Operations with a heavy focus on data analysis and systems architecture.
Advanced proficiency in Marketo and Salesforce, with comfort navigating complex smart lists, flow actions, custom objects, and report builders.
An analytical mindset, enjoying technical troubleshooting and with a high tolerance for auditing thousands of rows of data to find a single logic error.
The ability to translate complex technical findings into clear, actionable insights for leadership and stakeholders.
A systems lens, understanding how changes in one tool ripple through to Salesforce and ultimately impact reporting.
AI fluency, with comfort using AI tools (for example Claude, ChatGPT, Copilot) to draft workflow logic, query syntax, and technical documentation, and to accelerate data analysis, not just as a novelty but as a core part of how you work.
A Bachelor's degree in Marketing, Business Administration, Data Science, or a related field, or an equivalent combination of work experience.

Responsibilities

Conduct deep-dive audits into system behaviors, sync errors, and workflow logic, using AI tools to accelerate pattern detection and root-cause analysis to identify why data discrepancies occur.
Lead ongoing initiatives to de-duplicate records, normalize data fields, and overhaul legacy processes within Marketo and Salesforce, applying AI-driven tools to scale cleanup beyond manual review.
Design fixes for system issues, drafting technical requirements and prescribing solutions to improve system efficiency.
Maintain lifecycle models and ensure leads are moving through the funnel correctly, using AI to surface anomalies and bottlenecks that manual reporting would miss or catch late.
Support the primary admins in managing the connective tissue of our stack, including but not limited to Reachdesk, Qualified, Demandbase, Pathfactory, and Splash.
Create and update technical documentation to ensure our logic (scoring, routing, and lifecycle stages) is transparent and scalable.
Reduce the sync error rate between Marketo and Salesforce by 50 percent in the first six months.
Standardize data entry points to ensure 100 percent accuracy in lead source reporting.
Proactively identify workflow bottlenecks before they impact the Sales team's outreach.