Overview
Remote
Up to $65
Contract - W2
Contract - 12 Month(s)
Unable to Provide Sponsorship
Skills
API
Adobe
Adobe Analytics
Analytics
Android
Artificial Intelligence
Auditing
Bridging
Business Development
Change Management
Customer Facing
Data Modeling
Data Science
Data Warehouse
ELT
Electronic Commerce
Evaluation
Extract
Transform
Load
Google Analytics
Google Analytics (GA4)
IOS Development
Inventory
JavaScript
KPI
Leadership
Machine Learning (ML)
Management
Mapping
Mentorship
Merchandising
Microservices
Middleware
Optimization
Predictive Modelling
Privacy
Quality Assurance
Real-time
Regulatory Compliance
Relationship Management
Retail
Roadmaps
Salesforce.com
Snow Flake Schema
Streaming
TOGAF
Turnover
Job Details
Job Title: Senior Analytics Architect
Location: Remote
We're seeking a Senior or Principal Analytics Architect to join our Analytics & Data Team. This is a high-impact, client-facing role where you'll lead analytics modernization engagements for enterprise retail clients, translating complex technical challenges into strategic roadmaps that unlock business value for our clients.
You'll serve as both a technical authority and trusted advisor, leading multi-phase analytics transformation initiatives from audit through implementation. Beyond client delivery, you'll contribute to practice development, mentor teams, support business development efforts, and help define Litmus7's analytics capabilities as we scale our impact across the retail industry.
Required Qualifications
Technical Expertise
- 10+ years in digital analytics architecture and implementation across enterprise environments
- Retail industry experience required deep understanding of e-commerce analytics, omnichannel measurement, merchandising KPIs, and retail-specific use cases
- Enterprise analytics platforms: Extensive hands-on experience with Adobe Analytics, Google Analytics (UA and/or GA4), or equivalent enterprise analytics solutions including implementation, administration, and data exports
- Tag management systems: Expert-level proficiency with Tealium, Google Tag Manager, or similar platforms; experience with server-side tagging is a plus
- Cloud data platforms: Proven experience architecting analytics data pipelines into Snowflake, BigQuery, or similar data warehouses; familiarity with streaming ingestion, data modeling, and ETL/ELT patterns
- Cross-platform analytics: Experience unifying tracking across web (including headless/composable architectures), native mobile (iOS/Android SDKs), and other digital touchpoints
- Analytics governance: Track record establishing change management processes, validation frameworks, and operational support models for enterprise analytics
Architecture & Strategy
- Enterprise architecture frameworks: Working knowledge of TOGAF, C4 Model, Capability Mapping, or similar methodologies for stakeholder communication
- Platform evaluation: Experience conducting formal technology assessments with evaluation criteria, scoring rubrics, and business justification
- Privacy & compliance: Understanding of GDPR, CCPA, consent management, and privacy-by-design principles in analytics implementations
Leadership & Communication
- Executive presence: Demonstrated ability to present technical recommendations to C-level stakeholders, translating complexity into business value
- Client relationship management: Experience as primary client contact for multi-phase engagements, managing expectations and building trust through delivery excellence
- Team leadership: Proven ability to lead technical teams, delegate effectively, and mentor junior staff
- Self-directed execution: Comfort operating independently with minimal oversight while proactively communicating status and risks
Preferred Qualification:
Expanded Technical Capabilities
- CDP & MarTech stack optimization: Experience with RudderStack, Segment, mParticle, Salesforce CDP, Adobe Real-Time CDP, or similar customer data platforms
- Beacon Bridge or custom analytics implementations: Experience with bespoke analytics bridges or middleware solutions
- Composable commerce analytics: Understanding of analytics challenges in headless, API-first, and microservices-based architectures
- Automated analytics QA: Familiarity with ObservePoint, analytics.js debuggers, or custom validation frameworks
- Advanced analytics & data science: Understanding of predictive modeling, attribution, experimentation frameworks, and AI/ML applications in retail
Retail Domain Depth
- Retail verticals: Experience across multiple retail segments
- Retail KPIs: Deep familiarity with retail-specific metrics including AOV, ROAS, inventory turnover, merchandising analytics, and customer segmentation.
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