Lead Analyst (SA II)

What you'll do

• Analyze campaign performance across email, CRM, and web channels
• Build and maintain dashboards for actionable insights
• Support and refine KPI frameworks and performance summaries
• Apply analytical techniques like segmentation and trend analysis
• Support data onboarding, validation, and integration
• Validate data outputs and ensure data quality
• Contribute to measurement initiatives such as attribution and cross-channel analysis
• Identify opportunities to improve measurement and reporting through automation and AI
• Collaborate with internal teams and partners to ensure data accuracy
• Follow data governance and privacy guidelines
• Own delivery of assigned workstreams with timely and accurate outputs
• Collaborate with cross-functional teams including CRM, data, and client stakeholders
• Present insights and recommendations clearly to client stakeholders
• Communicate findings through dashboards, summaries, and presentations
• Identify risks or dependencies and escalate or address proactively
• Drive improvements in analytics and reporting workflows
• Leverage automation, reusable code, and emerging tools to increase efficiency
• Apply AI-assisted methods to enhance analysis and reporting
• Stay informed on evolving analytics and measurement best practices

Requirements

• 4–7+ years in marketing analytics or a related field
• Strong proficiency in SQL and data analysis
• Hands-on expertise in building and maintaining dashboards (e.g., Tableau, Power BI)
• Ability to translate data into clear insights and business implications
• Proven capability to present insights and recommendations to client or stakeholder audiences
• Strong organizational skills and ability to manage multiple priorities
• Experience with common analytical techniques (segmentation, trend analysis, modeling)
• Proactive interest in leveraging automation and AI-driven tools
• Solid understanding of data privacy and governance fundamentals
• Preferred: Background in healthcare, pharmaceutical, or consumer health analytics
• Preferred: Experience in Python for data analysis and automation
• Preferred: Familiarity with Snowflake or similar cloud data platforms
• Preferred: Exposure to guiding junior team members

Tech stack

Benefits