Senior Data Analyst, Customer Growth

seniordata analystcustomer analyticsSQLPythonTableauETLELTdata modelingforecastingsegmentationcohort analysispredictive modelingAdTechMarTechdigital advertisingconnected TVbusiness intelligence

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

United States

Full job description

MNTN is hiring a Senior Data Analyst, Customer Analytics to join the Business Analytics team. The role involves analyzing customer behavior, campaign performance, product usage, account health, retention, and growth to provide actionable insights. Responsibilities include designing scalable data models, building dashboards and reports, applying statistical techniques, and partnering with cross-functional teams to improve data quality and reporting. Candidates must have 5+ years of experience in data or business analytics, strong SQL and Python skills, experience with Tableau, knowledge of ETL/ELT and data modeling, and familiarity with statistical and predictive modeling techniques. Excellent communication and stakeholder management skills are required. Experience in AdTech, MarTech, digital advertising, or media is a plus. The position is full-time and remote, based in the United States.

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

Requirements

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