Sr. Data Analyst - Monetization & Experimentation

RedCloud Consulting is a business and IT consulting company with local Puget Sound Enterprise and Mid-sized clients. RedCloud seeks a Sr. Data Analyst – Monetization & Experimentation to support immediate client operations. Seattle Business Magazine has recognized us, ranked #1 on their "Best Companies to Work for in Washington" for Mid-Sized Businesses list, awarded #1 Fastest Growing Company in Washington by Puget Sound Business Journal, and named on the Inc. 500/5000 list.

Overview:
This role supports a high-scale, rapidly evolving digital advertising environment where priorities shift quickly and perfect requirements are rare. The Senior Data Analyst will drive experimentation, measurement, and analytical insights that directly influence monetization strategy and real-time decisioning systems. Ideal candidates move fast, operate independently, and deliver high-quality insights under ambiguity.
Enable fast, high-confidence decision-making for monetization systems by delivering rigorous experimentation analysis, actionable insights, and clear storytelling. This analyst will improve how the team learns, reduces debate cycles, and guides product, engineering, and data science teams with crisp, trustworthy recommendations.
Team works on Pacific Time. Preference for Seattle-local candidates.

Responsibilities include but are not limited to:

• Design, run, and interpret A/B tests and controlled experiments.
• Produce fast, clear experiment readouts including: what changed, why it matters, and recommended follow-ups.
• Establish and maintain measurement guardrails, tradeoff frameworks, and experiment best practices.
• Analyze messy, large-scale datasets—often sampled or time-constrained—to surface insights that influence monetization strategy.
• Translate ambiguous or incomplete requirements into structured analytical output.
• Develop dashboards, frameworks, and ongoing reporting that improve visibility into monetization performance.
• Partner closely with Data Science, Data Engineering, and Product teams to align on metrics and reduce “metric debate” cycles.
• Provide clear narratives that communicate complex findings to both technical and non-technical audiences.
• Influence strategy and optimization decisions across bidding, targeting, and placement systems.
• Operate with urgency and independence, often iterating quickly as priorities change.
• Deliver high-value insights without waiting for perfect clarity or fully defined requirements.

Required Knowledge, Skills, and Abilities:

• Advanced SQL with experience querying distributed or large-scale data systems.
• Strong experimentation expertise: A/B testing, interpreting results, identifying tradeoffs, establishing guardrails.
• Experience working with cloud-based analytics environments (e.g., object storage, distributed compute engines, analytical warehouses).
• Python proficiency for data analysis, experimentation tooling, and automation.
• Comfort working with sampled datasets, constrained data windows, or limited observability.
• Experience with any of the following is a plus:
  • Distributed compute frameworks (e.g., Spark)
  • Serverless or containerized environments
  • ML or modeling platforms
  • Streaming/real-time data concepts
• Experience in advertising, experimentation, or real-time decisioning systems such as:
  • Auction or bidding systems
  • Experimentation or A/B testing platforms
  • Attribution and measurement pipelines
  • Feature stores or real-time feature pipelines
• Exceptional communication and storytelling abilities.
• Ability to move quickly with incomplete information.
• Strong ownership: takes problems from ambiguity to execution.
• Curiosity, learning speed, and adaptability in a dynamic environment.
• Pragmatic decision-making: focuses on “accurate enough to act” rather than analysis paralysis.

Technology & Tooling Exposure:

• Cloud & Compute: AWS, Kubernetes, Lambda, Step Functions
• Storage & Data Lake: S3, Iceberg/Hudi-style table formats
• Query & Analytics: Redshift, Athena, EMR/Spark
• Batch & Orchestration: Spark, Airflow-style DAGs
• ML/Modeling: SageMaker or equivalent ML platforms
• Languages/Tools: Python, SQL, Java/Scala, Terraform, Git, CI/CD pipelines

Compensation range for position is $170,000 - 210,000 DOE.
Benefits and bonus information can be found at https://www.redcloudconsulting.com/careers
RedCloud requires employees have the legal ability to work in the United States during their employment period. During onboarding, proof of eligibility to work in the United States will be requested. RedCloud does not provide visa sponsorship.

About Us:
RedCloud is a boutique, business and technology consulting firm providing local companies with expert-level support for over two decades. Whether it’s to solve a specific business challenge or to provide additional support for an ambitious project, we can help bring even the most visionary endeavors to fruition.

Anchored by a foundation of "integrity-based consulting", the RedCloud team of subject matter experts collaborate closely with clients to develop and implement high-level solutions, bringing stability, growth, and innovation together for long-term success. We provide a broad array of business and technology consulting services through RedCloud’s core practices: Data & AI, Delivery Excellence, Digital Solutions, Marketing & Sales, Privacy, Security, and Strategy & Transformation.



Visit http://www.redcloudconsulting.com/ for more info.
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