Manager, Requirements and Capabilities
RTX
Senior Manager, Analytics, Product Innovation
Channel Factory
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudPandasPythonScikit-LearnSQLTableau
About the role
- Drive evolution from descriptive reporting to systematic performance research and validation
- Architect analytical frameworks to answer what drives campaign performance variation
- Build systematic learning cycles transforming raw campaign data into organizational intelligence
- Design and implement systematic performance clustering methodologies to identify campaign performance variations and underlying drivers
- Develop market segmentation frameworks applied to campaign data to reveal hidden patterns in audience behavior and contextual effectiveness
- Create hypothesis-driven research cycles from exploratory analysis to validated insights through rigorous statistical testing
- Establish measurement protocols that distinguish correlation from causation in campaign performance patterns
- Architect comprehensive A/B testing and experimentation frameworks isolating the performance impact of data science solutions
- Design control group methodologies to measure incremental lift from new targeting algorithms, optimization features, and contextual classification improvements
- Build statistical validation protocols to determine whether algorithmic innovations actually improve margins, conversion rates, and client ROI
- Create performance benchmarking systems that track the business impact of machine learning model deployments over time
- Develop causal inference methodologies that separate genuine algorithmic improvements from market noise and external factors
- Transform complex analytical research into strategic recommendations that drive campaign optimization and client success
- Lead quarterly research cycles that identify emerging performance patterns and competitive insights for account teams
- Design custom measurement studies that demonstrate campaign effectiveness and isolate the drivers of client success
- Build automated research pipelines that continuously monitor performance variations and alert teams to optimization opportunities
- Create client-facing research reports that showcase Channel Factory's analytical sophistication and performance validation capabilities
- Leverage Starrocks, AWS, Datorama, and Python to build scalable research infrastructure that supports systematic performance analysis
- Partner with data science teams to design controlled experiments and develop feature engineering pipelines
- Create reproducible research workflows that enable quarterly learning cycles and systematic hypothesis validation
- Establish statistical rigor and best practices for measuring ROI and business impact of algorithmic innovations
Requirements
- 5+ years of experience in performance measurement, market research, or business intelligence with focus on systematic analytical methodologies
- Advanced proficiency in Python (Pandas, Scikit-learn, Statsmodels) with demonstrated experience in clustering, segmentation, and hypothesis testing
- Strong SQL and data warehousing skills with ability to engineer features from complex campaign datasets
- Proven track record in A/B testing, experimental design, and causal inference methodologies
- Experience building systematic research frameworks that drive organizational learning and strategic decision-making
- Deep understanding of digital media buying, campaign optimization, and performance measurement
- Experience with walled garden platforms (YouTube, Facebook, TikTok, LinkedIn) and their measurement APIs
- Knowledge of brand safety, contextual targeting, and audience segmentation strategies
- Familiarity with media mix modeling, attribution, and incrementality measurement approaches
- Understanding of programmatic advertising and real-time optimization concepts
- Experience with cloud platforms (AWS preferred) and modern data stack tools
- Proficiency in data visualization tools (Tableau, Power BI, or similar)
- Strong project management skills with ability to lead cross-functional initiatives
- Excellent communication skills with experience presenting to both technical and non-technical stakeholders
- Track record of translating complex analytical concepts into actionable business insights
- Preferred: Advanced degree in Statistics, Economics, Psychology, or related research-focused discipline
- Preferred: Experience in ad tech, programmatic advertising, or media research with focus on performance validation
- Preferred: Background in market research, customer segmentation, or business intelligence consulting
- Preferred: Familiarity with reinforcement learning concepts and performance-based optimization approaches
- Preferred: Experience designing systematic research methodologies and organizational learning framework.
Benefits
- Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations
- Competitive salary + bonus
- Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance)
- Cell phone and Wifi Reimbursement
- Bill Spend Stipend
- Work-life flexibility – we value your contributions above all
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLA/B testingclusteringsegmentationhypothesis testingcausal inferencedata warehousingdata visualizationstatistical testing
Soft skills
project managementcommunicationstrategic decision-makinganalytical thinkingcross-functional leadershiptranslating complex conceptsorganizational learningclient success focusresearch-driven insightsperformance optimization
Certifications
Advanced degree in StatisticsAdvanced degree in EconomicsAdvanced degree in Psychology
