Data Scientist/Analyst

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

martech
Digital marketing
Tealium IQ
Adobe Tag Manager
JavaScript
jQuery
Google Analytics 4
Google Tag Manager
PowerBI
Tableau

Job Details

Exciting opportunity for a Data Scientist/Analyst for a 6+ month contract in New York, NY OR Boston, MA. This role is 3 days/week onsite.
Purpose:
  • The role is responsible to lead the MarTech & product analytics team that drives digital data strategy, tagging, marketing execution, web analytics, insights, and testing.
  • Specific tasks include implementation of tags in the mobile app and website for analytics, querying session level digital data, building insights for site optimization, visitor profiling including look-a-like targeting, and the syndication of data via APIs to and from real-time systems.
  • The individual will help define and execute a framework to build and manage digital tagging, analytics, and insights across our enterprise digital assets.
  • This strategy will incorporate end to end customer journeys, both online and offline.
  • They will help expand our capabilities to bridge the streaming digital data (site interactions, digital engagement, etc.) with 1st and 3rd party data (loyalty, services, depth of relationship, etc.) to build the insights and signals that can drive growth.
  • They will partner closely with Marketing and Product Owners, Data and Analytics teammates, cross-functional Technology partners, and key business stakeholders helping them define and prioritize requests.
  • They will also partner closely with vender and their development teams to coordinate complex projects in distributed locations.
  • The ideal candidate will function as a highly influential, organized, and effective leader in global organization.
Responsibilities:
  • Support the future state data and analytics strategy that integrates 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. Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance.
  • Disseminate insights through visual storytelling and dashboards
  • Build advanced analytics that can identify drivers, root cause, and prescriptive insights including the use of propensity modeling, recommendation algorithms, unsupervised clustering, and other machine learning techniques
  • Foster a culture of data literacy to drive impact
  • Ensure a culture of data privacy and governance, including establishing controls
Qualifications:
  • 5-7 years experience in tag management, digital marketing, and/ or analyzing digital data
  • Clear understanding of the sources of streaming digital data, SDKs, digital marketing channels, Customer Data Platforms, and MarTech tools for ad targeting, campaign management, & personalization.
  • Experience developing, auditing, & testing tags for various marketing technologies in languages like JavaScript or jQuery
  • Experience with 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 the Google Cloud Platform and BigQuery
  • o Experience with 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
Skills:
  • Ability to query and join datasets in SQL
  • Knowledge of tag management systems, specifically Tealium IQ or Adobe Tag Manager
    • Understanding of tag manager concepts
    • Ability to test and validate tags
    • Familiarity with content management systems
    • Experienced in use of JavaScript, jQuery and 3rd party APIs
  • Knowledge of Google Analytics 4 (GA)
    • Ability to create and manage reports and dashboards in Google Analytics
    • Ability to create and manage goal funnels
    • Segmentation of traffic and attribution in Data Studio
  • Knowledge of Dashboarding Tools like Quicksight, Looker, PowerBI, or Tableau
    • Ability to create compelling visualizations from data and analysis
    • Ability to create interactive dashboards that are intuitive and user friendly
  • Ability to test and analyze digital audiences and behaviors
  • Can formulate and test hypotheses
The Person:
  • We are specifically looking for someone who thinks of data as a business asset to fuel growth, can build relationships, and be able to use petabytes of it to extract insights.
  • This person should also be completely at home with the ambiguities inherent in digital datasets and be able to navigate them to validate various hypotheses in support of business and marketing decision making.
  • They will bring curiosity, effort, and vision to execute projects quickly for their partners.
Location:
  • Hybrid - Boston, MA or New York, NY
Duration:
  • Possibility for extensions and conversion to full time employment
Core Requirements:
  • +5 Years of experience
  • Tagging & Data Layer Implementation: Deep understanding of tools like Google Tag Manager, Tealium to ensure accurate event tracking and data capture across digital touchpoints
  • Platform Integration & Orchestration: Ability to integrate Martech tools (e.g., CDPs, ESPs, CRMs) with analytics platforms to enable seamless data flow and customer journey tracking
  • Customer Journey Mapping & Segmentation: Skills in using data to build audience segments and personalize experiences across channels based on behaviors and lifecycle stages
  • Implementation and Testing: 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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