Senior Analyst, Data Science – Marketing

• Own data extraction, cleaning, validation, and preparation for moderately complex analyses
• Independently scope and execute analyses addressing business questions, including ambiguous or multi-step requests
• Apply exploratory and statistical analysis to identify drivers, trends, and performance opportunities
• Develop and enhance dashboards and recurring reporting, including metric definitions and quality checks
• Document analytical assumptions, methodologies, and findings for reproducibility and data accuracy
• Analyze campaign performance across B2B marketing channels and recommend evidence-based optimizations
• Assess lead quality, funnel conversion, and campaign contribution across key funnel stages
• Evaluate marketing initiatives by identifying performance drivers, segment-level differences, and improvement opportunities
• Design and analyze A/B tests, including success metrics, interpretation, and limitations
• Translate analytical findings into concise recommendations and communicate trade-offs to stakeholders
• Partner with marketing, BI, data, and cross-functional teams to define analytical requirements and improve reporting processes
• Present findings in team and stakeholder reviews, flagging risks, caveats, and follow-up questions
• Mentor and coach junior analysts through guidance, code and output reviews, feedback, and best-practice sharing
• Review junior analysts’ deliverables for analytical rigor and clarity; no formal people-management responsibility

• Bachelor’s or Master’s degree in Statistics, Analytics, Engineering, Computer Science, Economics, or a related quantitative field
• 4–8 years of experience in data analytics, business intelligence, or related analytical roles
• Hands-on experience analyzing marketing, CRM, or sales data preferred
• Experience independently delivering analytical projects using structured datasets and reporting tools
• Strong SQL skills, including complex joins, CTEs, window functions, and data validation
• Proficiency in Python or similar analytical tools for data manipulation, exploratory analysis, and repeatable workflows
• Experience developing and improving dashboards using Tableau, Power BI, QuickSight, or similar tools
• Applied understanding of statistical inference, hypothesis testing, experiment analysis, and common analytical limitations
• Exposure to AWS, GCP, or Azure and scalable data workflows is a plus
• Ability to partner with marketing and cross-functional stakeholders
• Ability to translate complex data into practical recommendations
• Commitment to developing and mentoring junior analysts

• Flexible work environment
• Fluid career paths
• Internal mobility opportunities
• Purpose, well-being, and work-life balance initiatives
• Inclusive and welcoming work environment
• Volunteer opportunities
• Equal opportunity employment