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Marketing Data Analyst
Square Banking
Posted on 8/10/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Amplitude
BigQuery
Data Analysis
Data Science
Marketing
SQL
Tableau
Looker
Requirements
  • 5+ years of experience in multiple analytical and operational roles: you value combining rigorous data-driven analysis, marketing and business intuition, and an ability to work well across a variety of teams
  • Marketing: You're an expert on details of email, in-app, push and other marketing channels used to reach customers. You've been hands-on with the details of campaign targeting, experimental design, optimization and attribution
  • Impact Orientation: business acumen, with the ability to translate quantitative data into relevant marketing insights and recommendations. Ability to translate complex data concepts and reasoning in ways that marketing teams, business leaders, and the wider organization will understand
  • Data Fluency: You have experience manipulating and extracting insights from large datasets, and using data to make recommendations and decisions. You have extensive experience with opportunity sizing, measurement and reporting. You have used database languages (e.g. SQL, BigQuery) and visualization tools (e.g. Looker, Tableau, Amplitude) to support analyses and recommendations
Responsibilities
  • Partner with the Product Data Science team to track the business performance required to inform marketing decisions and strategy
  • Lead the Analytics and Marketing Data Science roadmap based on marketing priorities, including audience definition and targeting, personalization, channel performance, and optimizations
  • Develop and deliver marketing performance analyses and program recommendations for marketing and product leaders
  • Be the resident expert in experimental ensign, including A/B testing, incrementality measurement, and attribution
  • Build visualizations, dashboards, reports, and alerting systems for the ongoing analysis of marketing campaigns, tests, and channels
  • Manage data science workstreams related to integrations with internal data platforms to enhance segmentation, personalization, and overall marketing performance
  • Develop relationships with internal marketing technology and automation teams and guide Banking's partnership and integration strategy
Desired Qualifications
  • Familiarity with machine learning product recommendation models and application in marketing contexts, for example marketing mix modeling and multi-armed bandit
Square

1,001-5,000 employees

Digital payment processor
Company mission
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.