Senior Analyst

Job Summary: 

We are seeking a highly analytical, systems-oriented, and seasoned Lifecycle & Performance Senior Analyst to lead the reporting integrity and performance visibility for Ruggable’s growth and retention engines. Reporting to the Director of Reporting, Analytics & Insights, you will serve as primary authority on marketing data, ensuring our data architecture—from reporting and UTM management to segmentation using an RFM model—is accurate, actionable, and standardized across all global storefronts.

The Lifecycle & Performance Analyst is the connective tissue between raw data and marketing execution. You are a power user of marketing platforms such as Klaviyo, PostScript, Meta, and Google, with the technical agility to build the reporting frameworks that allow us to mimic and scale US-based insights across our international storefronts.

Beyond reporting, you are a strategic partner in real-time decision-making. You provide the data-backed conviction required for high-impact pivots—whether that means optimizing intraday paid spend, shifting budget between channels, or deploying rapid-response retention tactics during high-stakes promotional windows. You ensure that every investment shift, from acquisition to lifecycle, is driven by clear performance signals and a deep understanding of incremental value.

What You’ll Do: 

Retention, Lifecycle, & Reporting Infrastructure 

• Creative Performance: 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
• Revenue Forecasting: 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
• Channel Preference: 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
• A/B Testing: 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
• LTV Modeling: 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
• Discount Analysis: 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
• Subscriber Value: 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

Performance Insights & Growth Analytics 

• Investment Agility: Support real-time decisions around spend pivots, identifying when to shift investment up or down based on intraday performance, MER, and ROAS targets
• Tracking & Attribution Governance: 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

Analytical Operations & Team Support

• Global BI Infrastructure: 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."
• Data Stewardship: Partner with Data Engineering to optimize marketing data tables, ensuring that international data sets are clean, validated, and aligned with US reporting logic
• Operational Reporting & Performance: 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
• Ad Hoc Analysis: 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
• The Cross-Functional Bridge: 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

What You’ll Need to Have:

Required: 

• Experience: 4–5 years of professional experience with a proven track record across both Retention and Growth analytics (ideally in a high-growth DTC environment)
• Platform Mastery: 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
• Technical Agility: Advanced SQL skills and a proven ability to learn new platform UIs or API documentation quickly to support emerging channels
• BI Expertise: Direct experience with Looker (LookML) and / or Sigma. Experience with BI migrations is a major plus
• Metric Fluency: Expert-level understanding of the relationship between LTV, ROAS, MER, CPA, CPC, and CTR
• Operational Tooling: Functional experience with Feedonomics, Klaviyo / Postscript, GA4, Heap
• Collaborative Mindset: Experience acting as a bridge between technical teams and marketing stakeholders to drive cross-functional projects

Preferred: 

• Data Engineering Exposure: Experience working within Snowflake or AWS environments and a strong understanding of data warehousing principles
• Engineering Workflow: Familiarity with version control software (e.g., GitHub) and working alongside Data Engineering teams to build/maintain clean tables
• Growth Mindset: A self-starter who is excited by the prospect of building from the ground up and thrives in the fast-paced, high-ownership environment of a startup

Compensation:

• $115,000 - $140,000 per year base salary
• An annual bonus percentage that varies based on level of role
• Employer matching (up to 3% of base salary) for company sponsored 401K plan
• Location: Remote (Option to be hybrid if you're based in LA)