Data Analyst/Scientist

Location: Boston, MA
Salary: $70.00 USD Hourly - $85.00 USD Hourly
Description: Purpose
Lead the MarTech and product analytics team to drive digital data strategy, tagging, marketing execution, web analytics, insights, and testing. Responsibilities include implementing tags in mobile apps and websites for analytics, querying session-level digital data, building insights for site optimization, visitor profiling (including look-a-like targeting), and syndicating data via APIs to and from real-time systems.
Key Responsibilities

• Define and execute a framework for digital tagging, analytics, and insights across enterprise digital assets, incorporating end-to-end customer journeys (online and offline).
• Expand capabilities to bridge streaming digital data (site interactions, digital engagement) with 1st and 3rd party data (loyalty, services, depth of relationship) to build insights and signals that drive growth.
• Partner closely with Marketing and Product Owners, Data and Analytics teams, cross-functional Technology partners, and key business stakeholders to define and prioritize requests.
• Coordinate complex projects with vendors and their development teams in distributed locations.

Additional Responsibilities

• Support the future state data and analytics strategy integrating broader strategic and organizational initiatives through digitization and data-driven decision making.
• Run concurrent digital marketing and product analytics projects.
• Analyze website and mobile app data on traffic sources and patterns, providing insights on data trends and anomalies, and making recommendations to improve business performance.
• Disseminate insights through visual storytelling and dashboards.
• Build advanced analytics to identify drivers, root causes, and prescriptive insights using techniques like propensity modeling, recommendation algorithms, unsupervised clustering, and other machine learning methods.
• Foster a culture of data literacy to drive impact.
• Ensure a culture of data privacy and governance, including establishing controls.

Qualifications and Core Requirements

• 5-7 years of experience in tag management, digital marketing, and/or analyzing digital data.
• Clear understanding of streaming digital data sources, SDKs, digital marketing channels, Customer Data Platforms, and MarTech tools for ad targeting, campaign management, and personalization.
• Experience developing, auditing, and testing tags for various marketing technologies using languages like JavaScript or jQuery.
• Experience enabling server-side data and building 3rd party integrations in the cloud, including conversion APIs.
• Hands-on coding experience in joining disparate data sets for analysis using tools like AWS Athena and Redshift or Google Cloud Platform and BigQuery.
• Experience mining click-to-event streaming data, including session-level analysis in mobile and web.
• Experience with performance marketing statistical methodologies for ad spend optimization, A/B testing, and multi-touch attribution.
• Deep understanding of tools like Google Tag Manager, Tealium to ensure accurate event tracking and data capture across digital touchpoints.
• Ability to integrate MarTech tools (e.g., CDPs, ESPs, CRMs) with analytics platforms to enable seamless data flow and customer journey tracking.
• Skills in using data to build audience segments and personalize experiences across channels based on behaviors and lifecycle stages.
• Implement and test API solutions to ensure they meet functionality, performance, and security standards.

Nice to Haves

• Experimentation & Personalization: Proficiency with A/B testing tools and personalization engines to optimize CX and measure impact.
• Data-Driven Mindset with BI Fluency: Comfort working with CX metrics, dashboards, and collaborating with BI/analytics teams to derive insights from behavioral and transactional data.

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