The ideal candidate demonstrates strong business acumen, communication, SQL, data modeling, and analytics development skills. They have deep technical expertise in Google Analytics, Snowflake, Microsoft Fabric, and Power BI. The ideal candidate combines business analysis with hands-on experience developing reusable ELT transformations, dimensional models, semantic-ready datasets, and data quality controls. This individual will play a critical role in enabling data-driven decision-making and advancing enterprise data modernization initiatives.
Primary Functions
Web, Digital & Marketing Analytics
Serve as a technical subject matter expert for Google Analytics and enterprise web analytics data.
Design analytics data models that support web traffic, acquisition, engagement, conversion, campaign, and customer behavior analysis.
Develop and maintain reliable data pipelines and transformations for Google Analytics data and related digital marketing sources.
Integrate web behavioral data with customer, booking, sales, marketing, and other enterprise data to enable cross-channel analytics.
Partner with and enable Marketing, Digital, Product, and business stakeholders to translate measurement requirements into scalable analytical datasets.
Establish consistent definitions and reusable data models for sessions, users, traffic sources, campaigns, events, conversions, and digital journeys.
Validate web analytics data quality and reconcile reporting differences across source platforms, analytical datasets, and BI solutions.
Data Architecture & Engineering
Design conceptual, logical, and physical data models for domain-specific solutions based on business requirements, using 3NF and dimensional modeling approaches as appropriate.
Design reusable analytics data products and structures across the Data Warehouse, Data Marts, Data Lakehouse, and Reporting/Analytics layers.
Design and develop modular, reusable ELT transformations that meet data quality, SLA, and performance requirements.
Apply analytics engineering practices including version control, automated testing, documentation, lineage, code review, and CI/CD.
Own data quality, reconciliation, observability, and performance for curated analytical datasets.
Support production analytics data products and resolve data issues across the analytical value chain.
Leadership Qualities
Enable and teach key stakeholders and users to leverage new data & analytics products.
Demonstrate understanding of and document current state business and systems processes.
Outstanding attention to detail with high levels of concentration.
Strong analytical and problem-solving skills
Ability to multi-task with a strong drive for results.
Demonstrated ability in prioritizing and handling multiple projects.
Excellent project management skills with a proven ability to meet established deadlines.
Extensive latitude for independent judgment, must be able to work independently
Talent for quickly learning new disciplines, approaches, technology, etc.
Excellent communication and interpersonal skills.
Business Intelligence & Analytics
Partner with BI developers and analysts to deliver Power BI semantic models, reports, dashboards, and data agents using trusted analytical datasets.
Contribute to and support Snowflake Cortex and Microsoft Copilot Data Agents by providing governed, well-documented, AI-ready data products.
Data Governance & Quality
Partner with Data Governance teams to establish metadata management, lineage, master data management, and data quality standards.
Manage Data Governance (Metadata Mgmt., Data Lineage, Data Quality, Data Access & Security, Data Privacy, Compliance)
Implement architectural controls supporting privacy, security, and retention requirements.
Collaborate with governance and catalog teams to ensure data discoverability and trusted data assets.
Knowledge and Skills
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
10+ years of experience in analytics engineering, data engineering, business intelligence, data architecture, or related disciplines.
Deep hands-on expertise with Google Analytics 4 (GA4), including its event-based data model and web behavioral analytics concepts.
Strong expertise in SQL, data modeling, data warehousing, dimensional modeling, ELT, and analytical data product development.
Experience with cloud platforms such as Microsoft Azure.
Hands-on experience with modern data technologies including
Snowflake
Microsoft Fabric
Power BI
Google Analytics 4 (GA4) / Web Analytics
SQL Server
Advanced SQL skills and working proficiency in Python.
Experience with modular SQL transformation frameworks and practices.
Experience with source control, automated data testing, CI/CD, data governance, metadata, lineage, and data catalogs.
Excellent communication, presentation, and stakeholder management skills.
Knowledge of Data Lakehouse, Medallion, dimensional, and domain-driven data architecture principles.
Experience with marketing and/or behavioral analytics solutions.
Experience within travel, hospitality, retail, financial services, or other large-scale consumer-facing industries.
Join us in building a world-class data ecosystem that transforms data into a strategic business asset.
Compensation & Benefits
We believe in taking care of our team—inside and outside of work.
The pay range for this position is $140,000 – $180,000.
What We Offer
Health & Wellness: Medical, Dental, and Vision coverage—plus a Peloton One Membership to keep you moving
Time Off: Generous PTO, paid holidays, and your birthday!
Volunteer Time: Paid hours to give back to causes you care about
Financial Security: 401(k) with company match
Family Support: Paid parental leave, paid bereavement leave and access to our Employee Assistance Program
Career Growth: Tuition reimbursement to help you level up your skills
Exclusive travel discounts, incentives and more!
