
Senior Analyst, Lifecycle and Performance
Ruggable
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $115,000 - $140,000 per year
Job Level
Tech Stack
About the role
- Produce creative-asset-level reporting by systematically pulling all deployed Email, SMS, and Direct Mail assets and pairing each with its associated engagement, revenue, and efficiency metrics for executive-ready weekly business readouts.
- Build and maintain daily and weekly lifecycle revenue forecasts grounded in historical performance curves, leveraging cohort-based analysis to project final revenue outcomes from early and incomplete data.
- Analyze customer engagement across Email and SMS to determine channel preference and optimal send strategies, informing decisions around single-channel versus multi-channel lifecycle execution.
- Lead A/B test analysis across lifecycle channels, ensuring statistical significance, validating test outcomes, and translating results into clear, actionable recommendations for optimization and scale.
- Own lifetime value and lifetime revenue modeling across lifecycle programs, leveraging cohort analysis to evaluate performance by acquisition channel, first product purchased, and repeat purchase behavior over time.
- Track and analyze discount usage across lifecycle channels, reporting on where and when promotions are applied and quantifying overall discount rate by channel and customer segment.
- Monitor and report on average value per subscriber and revenue per subscriber for Email and SMS programs, surfacing trends that inform list growth strategy and lifecycle investment decisions.
- Support real-time decisions around spend pivots, identifying when to shift investment up or down based on intraday performance, MER, and ROAS targets.
- Take a lead role in UTM parameter management. You will establish and enforce a standardized UTM taxonomy across all channels to prevent data fragmentation and ensure flawless attribution.
- Lead the functional transition from Looker to Sigma, building high-performance automated Retention and Paid dashboards that aggregate data from all storefronts into a unified, self-service "source of truth."
- Partner with Data Engineering to optimize marketing data tables, ensuring that international data sets are clean, validated, and aligned with US reporting logic.
- Own the end-to-end delivery of weekly and monthly business reports, providing context-rich narratives and "so-what" insights that diagnose the impact of promotions, spend pivots, and A/B tests.
- Respond to time-sensitive analytical requests from Marketing and Executive leadership, rapidly synthesizing cross-channel data into clear, decision-ready insights while maintaining alignment with established reporting frameworks and metric definitions.
- Serve as the primary analytical liaison between channel owners, Tech, and Digital leadership; translating marketing requirements into technical specifications to ensure our data infrastructure evolves with the business strategy.
Requirements
- 4–5 years of professional experience with a proven track record across both Retention and Growth analytics (ideally in a high-growth DTC environment).
- Deep, hands-on experience in Klaviyo (or a similar email platform), Postscript (or a similar SMS platform), Shopify as well as Google Ads and Meta Ads Manager, specifically in how they ingest and report data.
- Advanced SQL skills and a proven ability to learn new platform UIs or API documentation quickly to support emerging channels.
- Direct experience with Looker (LookML) and / or Sigma. Experience with BI migrations is a major plus.
- Expert-level understanding of the relationship between LTV, ROAS, MER, CPA, CPC, and CTR.
- Functional experience with Feedonomics, Klaviyo / Postscript, GA4, Heap.
- Experience acting as a bridge between technical teams and marketing stakeholders to drive cross-functional projects.
Benefits
- An annual bonus percentage that varies based on level of role.
- Employer matching (up to 3% of base salary) for company sponsored 401K plan.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLA/B testingcohort analysislifetime value modelingrevenue forecastingdata analysisstatistical significancedata validationreporting frameworksdata infrastructure
Soft Skills
analytical thinkingcommunicationcross-functional collaborationproblem-solvingleadershipadaptabilitytime managementdecision-makingnarrative developmentstakeholder management