Marketing Data Analyst

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.”

Our Core Values:

• Pursuit of Excellence: We are extremely competitive, ambitious, and driven to be exceptional – as individuals, teams, and as an organization. There is no standard high enough and we will never settle. We aspire to attract, retain, and empower the very best people.
• Startup Mentality: Outliant began with 5 startup founders, and startup culture is deep in our DNA. It’s a critical advantage that allows us to move faster, be more resourceful, and empower our team at all levels. We are in the early chapters of our journey.
• World-Class Remote Collaboration: Outliant is (and always has been) a 100% remote company – we have no offices and our teams are distributed around the world. Given the freedom and autonomy this provides, we require that our people excel in this remote structure.
  
  

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.
  
  

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.
  
  

What’s in it for you?

As a full-time member of our team, you’ll enjoy:

• Unlimited PTO
• Non-working holidays per country of residence
• Pro-rated 13th-month bonus in select regions
• Salary increases and performance-based bonuses
• Referral bonuses
• Fun and casual work environment
• Employee engagement activities and virtual gatherings
• We are a diverse, global team! 🌍
  
  

Important Notice

To ensure the legitimacy of job opportunities, we strongly recommend that you solely rely on positions posted here on our official website: outliant.com/careers.

All our current job openings require video interviews conducted in either or both synchronous (via Google Meet) and asynchronous (via Willo) formats. Kindly refrain from accepting offers that appear suspicious. For any inquiries or concerns, feel free to reach out to us via email at [email protected].

Please be assured that we are fully committed to maintaining integrity in our hiring process.