Marketing Operations Analyst

Position Overview

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. In this role on the Marketing Operations & Technology team, you will help shape the client's marketing data strategy by driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This hands-on technical role is ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems.

Key Responsibilities

• Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
• Gain a comprehensive understanding of data quality and flow processes, identifying and developing solutions to enhance data usability and accessibility.
• Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
• Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
• Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
• Work closely with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate deliverable nuances for alignment and actionable outcomes.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Minimum of 3-5 years of experience in data management, analytics, or a similar role, preferably within a marketing environment.
• Proficiency in SQL for data manipulation and analysis; comfortable with Python.
• Experience with data platforms such as Databricks/Snowflake and analytics tools like Tableau.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
• Exceptional attention to detail and a commitment to maintaining high data quality standards.
• Demonstrated innate curiosity, comfort with ambiguity, and a proactive approach to process improvement and innovation in data management.
• No C2C resumes are considered.