Note: The job is a remote job and is open to candidates in USA. MNTN is a company that prioritizes its people and is known for its innovative advertising solutions in Connected TV. The Senior Data Analyst, Customer Growth will analyze customer behavior and campaign performance to deliver insights and analytical solutions that enhance decision-making across the business.
Responsibilities
- 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
Skills
- 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
Benefits
- #LI-Remote
Company Overview
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