Growth Strategy and Analytics Manager

Job description

Verkada’s Marketing Analytics and Data Science team is looking for a strategic analytics leader to play an integral role in leveraging our data and technology to help our marketing team run better, faster, and smarter. This role operates like an internal strategy consultant, using data to diagnose performance, uncover growth opportunities, evaluate ROI, and turn ambiguous business questions into clear recommendations. Our team works AI-first, using tools like Claude Code alongside SQL, dbt, and Looker to accelerate analysis, automate workflows, and build internal tools.

Responsibilities

• Analyze campaign, channel, segment, and funnel performance to identify growth opportunities and performance drivers.
• Evaluate marketing ROI and help inform where we invest time and budget.
• Turn ambiguous business questions into structured analyses, recommendations, and clear next steps.
• Build forecasts, targets, business cases, and measurement frameworks.
• Independently analyze large datasets and test hypotheses.
• Partner with leadership to define KPIs and influence strategic decisions.
• Build scalable analytics, automation, and AI-powered tools that help teams move faster.
• Communicate complex findings clearly to technical and non-technical audiences.

Requirements

• 5+ years of experience in analytics, strategy, consulting, growth, or a related field.
• Advanced SQL skills and experience working with large, complex datasets.
• Strong business judgment and a track record of turning analysis into action.
• Experience with marketing, growth, funnel, revenue, or go-to-market analytics.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Strong written and verbal communication skills, including with senior leaders.
• Comfort operating independently in a fast-paced, high-growth environment.
• Comfort using AI tools to improve how analytical work gets done.
• Must be able and willing to work in-office 5 days a week
• Experience with Python or another analytical language.
• Experience with modern analytics tools such as dbt, BigQuery, Snowflake, and AI coding tools.
• Experience with experimentation, causal inference, or incrementality measurement.
• Experience with enterprise B2B go-to-market strategy.
• Experience with forecasting, target setting, or investment/resource allocation.