Company
Financial Services
SeniorManager,MarketingAnalytics&Operations
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Manager, Marketing Analytics & Operations. Skills: Marketing analytics, Marketing operations, Data warehousing, Attribution modeling. Design marketing analytics ecosystem. Build marketing analytics ecosystem”
What You'll Achieve.
Support growth objectives; Improve data reliability; Improve data accessibility; Improve decision-making confidence
Industry & Context.
Analytical mindset; Data quality issues; Data reliability
Physically located within the United States
What They're Looking For.
Must Have
5+ years marketing analytics experience, 2+ years cloud data warehouse management, Advanced SQL skills, Deep understanding of digital marketing channels, Experience integrating data from advertising platforms, Knowledge of data governance, Experience building dashboards, Analytical mindset, Excellent communication skills, Stakeholder management skills, Physically located within the United States
Nice to Have
Experience with Python for analytics, Supporting multiple brands experience, Background in insurance, Background in financial services, Background in fintech, Background in regulated industries
What You'll Do.
Design marketing analytics ecosystem
Build marketing analytics ecosystem
Oversee marketing analytics ecosystem
Develop marketing KPIs
Maintain marketing KPIs
Establish governance processes
Manage tracking infrastructure
Create reporting frameworks
Create self-service analytics solutions
Partner with leadership
Develop forecasting models
Develop budget scenarios
Develop performance targets
Develop strategic recommendations
Lead measurement initiatives
Identify data quality issues
Implement solutions for data reliability
Implement solutions for data accessibility
Implement solutions for decision-making confidence
Translate analytical findings
Collaborate with data engineering
Collaborate with finance
Collaborate with marketing
Collaborate with executive teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Marketing teams; Business leaders; Data engineering; Finance; Executive teams
Communication Scope
Present findings; Actionable recommendations
Process & Methodology
Experimentation frameworks, A/B testing programs
Full Job Description
## Accountabilities Design, build, and oversee a centralized marketing analytics ecosystem that supports performance measurement, attribution, forecasting, and growth optimization initiatives. Develop and maintain enterprise-level marketing KPIs, including customer acquisition cost, return on ad spend, conversion performance, lifetime value, attribution metrics, and revenue impact. Establish governance processes for marketing data collection, tracking accuracy, attribution methodologies, and reporting consistency across paid and owned channels. Manage tracking infrastructure, including pixels, tag management systems, server-side tracking implementations, conversion APIs, and offline conversion integrations. Create scalable reporting frameworks, dashboards, and self-service analytics solutions that provide actionable insights to marketing teams and business leaders. Partner with leadership to develop forecasting models, budget scenarios, performance targets, and strategic recommendations that support growth objectives. Lead advanced measurement initiatives such as incrementality testing, geo-testing, lift studies, experimentation frameworks, and A/B testing programs. Identify data quality issues and implement solutions that improve data reliability, accessibility, and decision-making confidence. Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders. Collaborate closely with data engineering, finance, marketing, and executive teams to align reporting standards and performance measurement practices. Requirements 5+ years of experience in marketing analytics, marketing operations, performance measurement, business intelligence, or related analytical functions. Minimum 2 years of hands-on experience managing cloud-based data warehouse environments, particularly Snowflake or comparable platforms. Strong expertise with dbt and modern data transformation, modeling, and analytics engineering practices. Advan
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