Senior Data Analyst - Customer Analytics

What you'll do

• Analyze customer behavior, campaign performance, product usage, account health, retention, and growth opportunities to identify actionable insights
• Design and maintain scalable data models and analytical datasets that support customer reporting, segmentation, forecasting, benchmarking, and executive reporting
• Build dashboards, recurring reports, and self-service analytics solutions that help stakeholders monitor performance and make informed decisions
• Translate ambiguous business questions into structured analyses, clear findings, and practical recommendations
• Apply analytical and statistical techniques, including segmentation, cohort analysis, forecasting, anomaly detection, and performance driver analysis, to solve customer-focused business problems
• Partner with cross-functional teams to define metrics, improve data quality, and ensure consistent reporting across the organization
• Validate analyses and reporting outputs through rigorous QA practices to maintain trust and accuracy
• Communicate insights, methodologies, and recommendations effectively to both technical and non-technical audiences

What you'll bring

• 5+ years of experience in data analytics, business analytics, customer analytics, product analytics, marketing analytics, business intelligence, or a related field
• Strong SQL skills, with experience working in high-volume, large-scale data environments
• Experience building scalable data models, analytical datasets, and reporting solutions that support repeatable analysis and decision-making
• Proven experience analyzing customer behavior, campaign performance, product usage, retention, growth, or similar business outcomes
• Proficiency with Python for analysis, automation, data transformation, validation, or lightweight modeling
• Experience with Tableau or similar business intelligence and dashboarding platforms
• Working knowledge of ETL/ELT processes, data pipelines, and data modeling best practices
• Familiarity with statistical analysis, forecasting, segmentation, cohort analysis, experimentation, and predictive modeling techniques
• Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches
• Excellent communication and stakeholder management skills, with the ability to explain complex analyses to technical and non-technical audiences
• Experience managing competing priorities and delivering results in fast-paced environments
• Experience in AdTech, MarTech, digital advertising, or media is a plus

Compensation & Benefits

• 100% remote within the US
• Flexible vacation policy
• Annual vacation allowance for travel related expenses
• Three-day weekend every month of the year
• Competitive compensation
• 100% healthcare coverage
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development