Marketing Science Senior Analyst

Critical mass

Job Summary

As a Marketing Science Senior Analyst, you will leverage your 5+ years of experience to lead Marketing Science projects, demonstrating value to stakeholders. You will ensure the delivery of high-quality analyses, reports, and dashboards, shaping analytics content and providing methodological insights. Key responsibilities include leading measurement strategies, assisting with data flow implementation, managing daily operations of analytics stacks like GA4 and GTM, and directing analysts in implementing website tags and media pixels for various ad platforms. You will also develop and mentor junior analysts, translating findings into actionable insights.

Must Have

  • 5+ years of experience leading Marketing Science projects
  • Demonstrated expertise in at least two of: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling
  • Experience optimizing digital marketing efforts using data-driven insights
  • Experience leading and training junior analysts
  • B.S. degree in a quantitative or technical field (e.g., economics, mathematics, business, finance, social sciences, computer science, or information management)
  • Advanced Microsoft Excel and Microsoft Office skills
  • Strong verbal and written communication skills with considerable experience presenting directly to clients
  • Expertise in media measurement
  • Expertise in Python, R, SQL, or other business-relevant statistical programming language
  • Experience utilizing paid media platforms (e.g., Google, DV360, Meta, TikTok, Pinterest, YouTube, LinkedIn)
  • Expertise with at least two of: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation
  • Experience with two or more visualization platforms: Tableau, Domo, PowerBI
  • 5+ years' experience in Digital analytics implementation
  • Experience with Web Analytics Tools
  • Experience with Tag Management Systems
  • Experience developing Solution Design Reference (SDR) documentation and database schema
  • Experience with ETL techniques and involvement in data architecture
  • Experience with two or more A/B testing platforms such as Monetate, Adobe Target, Piano

Good to Have

  • M.S. degree preferred
  • Knowledge of the strengths and weaknesses of market leaders in visualization platforms
  • GA4 preferred for Web Analytics Tools
  • GTM preferred for Tag Management Systems

Perks & Benefits

  • Global maternity and parental leave
  • Competitive benefits packages
  • Vacation, compassionate leave, wellness days, and flex days
  • Six free therapy sessions through Therify
  • Access to online services for families and new parents
  • Hybrid work options
  • Summer Fridays (off at 3:00 PM local time every Friday)
  • Diversity and Inclusion Board with 12 affinity groups
  • Funding towards internal learning and development
  • Enterprise-wide employee discounts

Job Description

As a Marketing Science Senior Analyst, your curiosity never ends. The next question is always on your mind, helping you demonstrate the value of marketing science to internal and external stakeholders. You bring in 5+ years of experience, leading others in delivering Marketing Science projects across a broad range of initiatives, with a demonstrated expertise in at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience optimizing digital marketing efforts by systematically using data-driven insights, enjoy collaborating with others, and excel at leading and training juniors to translate findings into clear, actionable and executable insights.

***

You will:

  • Ensure that the analyses, reports, dashboards, and other deliverables created by the team fulfill client needs.
  • Shape analytics content and provide point of view on methodology and technology.
  • Lead the ideation, development and execution of measurement strategies and frameworks.
  • Assist in mapping and implementing data flows and ensure compliance with data governance protocols.
  • Manage, develop and motivate analysts: participate in resourcing, hiring and training planning.
  • Manage daily operations, prioritization, resourcing, and overall analytics delivery of the analytics stack (Google Analytics 4, Google Tag Manager, HubSpot, etc.)
  • Direct and support analyst as they implement and manage website tags and media pixels for ad platforms such as Google Ads, Campaign Manager, Meta, Twitter, Pinterest, LinkedIn, Reddit, etc.

You have:

  • B.S. degree in a quantitative or technical field. Including but not limited to economics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.
  • Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, considerable experience presenting directly to clients.
  • Expertise in media measurement.
  • Expertise in Python, R, SQL, or other business-relevant statistical programming language.
  • Experience utilizing paid media platforms (Google, DV360, Meta, TikTok, Pinterest, YouTube, LinkedIn, etc.)
  • Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.
  • Experience with two or more visualization platforms: Tableau, Domo, PowerBI, and knowledge of the strengths and weaknesses of the market leaders.
  • Experience providing task direction and/or mentoring junior analysts.
  • Website:
  • 5+ years' experience in Digital analytics implementation
  • Experience with Web Analytics Tools, GA4 is preferred.
  • Experience with Tag Management Systems, GTM is preferred.
  • Experience developing Solution Design Reference (SDR) documentation and database schema.
  • Data Engineering/Architecture:
  • Experience with ETL techniques, and some involvement in data architecture.
  • A/B Testing:
  • Experience with two or more testing platforms such as Monetate, Adobe Target, Piano, etc.

15 Skills Required For This Role

Ms Office Communication Excel Data Analytics Game Texts Alphabeta Testing Data Visualization Microsoft Excel Domo Tableau Data Science Python Microsoft Office Sql Google Analytics

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