Analytics Engineer, MarTech

Salary

The Palo Alto base salary range for this full-time position is $139,500 - $170,500 + equity + benefits. Our salary ranges are determined by role, level, and location.

Join us as a Analytics Engineer, MarTech, and a key member of the Engineering team at EarnIn! You’ll help us shape a world-class MarTech organization by using your analytical skills to define, build, evangelize, measure, and monitor data, analytics, technology, and AI solutions for marketing functions at EarnIn. You will be responsible for defining, creating, and maintaining clean marketing data. This role will be critical in how we build our marketing technology stack, power analytics for business and marketing priorities, drive data-backed campaigns, deliver value across the consumer lifecycle, and measure performance for future optimizations.

What you'll do

Define, own, maintain and upgrade marketing technology stack
- Manage and optimize the Customer Data Platform to ensure efficient data collection and activation. Manage data sources and destinations to ensure comprehensive data coverage.
- Integrate CDP with various marketing tools to ensure seamless data flow. Oversee the setup and maintenance of marketing automation platforms (e.g., Braze, Liveramp)
- Ensure data is collected from all relevant sources and properly routed to appropriate destinations for analysis and action
- Ensure these platforms are effectively integrated with other internal systems and data warehouses to support marketing campaigns and initiatives
- Define principles for defining the broader taxonomy for event (and properties) and user attributes/traits for marketing communications
- Review, approve, audit and clean up of events & attributes on an ongoing basis to adhere to principles and keeping within data usage limits
- Plan and execute timely upgrades to SDKs, ensuring compatibility with current systems and minimal disruption to business operations
Cross functional program management
- Interface with marketing stakeholders to understand business KPIs, data and technology needs, prioritize marketing technology investments, and deliver with high quality
- Coordinate with marketing, product, engineering, ML and external vendors to align project goals, timelines, and resources
- Develop detailed project plans, including scope, milestones, success criteria and timelines
- Maintain regular communication with stakeholders to provide updates on project status, risks, and issues
Web marketing / Ad platform integration for spend optimization
- Understand business objectives and define solutions to integrate with ad platforms (Google, Meta, TikTok, affiliate networks etc.) via APIs to onboard new channels, optimize ad campaigns and push smart signals to ad platforms to improve ad performance
- Oversee implementation API integrations to extract and clean campaign, keyword etc data from ad channels for comprehensive reporting to optimize spend and improve ROAS
- Partner with web marketing team on initiatives to implement growth related projects including SEO and track performance
Partner with MarTech engineering team to produce and maintain high quality data and pipelines
- Design, build, and optimize data architecture & models to support marketing reporting and analytics needs. Understand and articulate evolving business needs to optimize/update data pipelines
- Ensure all marketing data and attributes are of high quality, operationally reliable, strongly governed, and well documented by using in-house tools and monitoring systems
Be a data and functional expert at EarnIn
- Stay up to date with industry trends and emerging technologies in the field of marketing
- Be a data SME related to marketing domain
- Identify and recommend new growth opportunities within existing and newer marketing channels by analyzing data and leveraging latest technology

What we're looking for

Bachelors in Business, Marketing, Analytics or related fields
2+ years of experience in the Analytics space
Familiarity with business intelligence tools like Tableau
Knowledge of Customer Data Platforms and marketing automation tools like Braze, Liveramp
Good project management and collaboration skills with cross-functional teams
Strong problem-solving, analytical skills with ability to analyze data to drive business decisions
Technically conversant and forward thinking in areas of channel activation, orchestration, AI and marketing optimization
Experience working with vendors preferred
Proficiency in SQL strong preferred
Marketing domain knowledge strongly preferred

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