ABOUT US:

Outliant is a fully-remote, US-based, digital product development and startup consulting company, with a team of culturally diverse creators whose exceptional skills and talents help conceive seamless digital products. Our teams exhibit work-play energy that supports individual growth, as well as encourages the freedom of creativity and “thinking outside the box.”

REQUIREMENTS:

• 5+ years of experience in data analysis, with a strong focus on marketing and DTC environments.
• Proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Strong analytical and statistical skills, including experience with attribution modeling and cohort analysis.
• Skilled in using data visualization tools like Looker Studio, Tableau, or similar.
• Experience with ad platforms (e.g., Meta, Google Ads, TikTok) and customer data platforms (e.g., Segment, Amperity).
• Excellent communication skills with the ability to present insights to both technical and non-technical audiences.
• Detail-oriented, self-driven, and comfortable working in a fast-paced, collaborative environment.

ABOUT THE ROLE:

We’re looking for a Senior Marketing Data Analyst to transform complex marketing and customer data into actionable insights. You’ll work independently to support cross-functional teams—particularly growth, lifecycle, and eCommerce—by analyzing campaign performance, building attribution models, and delivering clear, data-driven recommendations. Your work will help drive smarter decisions across multiple regions and channels.
Seniority Level: Senior Level

RESPONSIBILITIES:

• Collect, clean, and analyze large datasets from marketing, eCommerce, CRM, and CDP platforms (e.g., Segment, Meta, Google Ads).
• Integrate cross-channel data within cloud data warehouses (e.g., Snowflake, BigQuery) to support scalable, reliable reporting.
• Build and maintain dashboards and reports using BI tools like Looker Studio or Tableau to visualize key metrics (CAC, ROAS, LTV, retention, etc.).
• Develop attribution models to measure marketing effectiveness across the customer journey.
• Conduct statistical and behavioral analysis to identify trends, patterns, and optimization opportunities.
• Partner with stakeholders to define KPIs, support testing strategies, and align insights with business goals.
• Ensure data quality and resolve discrepancies across platforms and systems.
• Stay current on analytics tools, data privacy standards, and emerging marketing measurement techniques.