Senior Analyst, Marketing Science & Analytics

Senior Analyst, Marketing Science & Analytics

Remote

The Role

The Growth Marketing analytics team at Square is responsible for empowering decision making through the use of data and analytics by providing measurement strategies, reporting, and actionable insights to act upon. As a senior growth marketing analyst, you will enable stakeholders to make better decisions by improving the Marketing Measurement systems (attribution, MMM) and value metrics and monitoring acquisition health. You will work closely with numerous stakeholder teams, including Marketing, Data Engineering, or Product Marketing to develop and maintain key measurement solutions. You will be eligible for remote employment.

You Will

• Own analytics workstreams related to Square’s multi touch attribution model and media mix model, including diagnostic work and projects to improve/progress attribution and MMM.
• Collaborate with cross-functional partners to define, develop, QA, roll out, maintain, and progress Square’s acquisition KPIs.
• Work with cross-functional partners to analyze experimentation impact on marketing metrics.
• Collaborate with our data engineering team to plan, build, and develop marketing infrastructure that solves business needs and analytics needs.
• Contribute to ad hoc and deep-dive analysis driving toward team priorities.
• Maintain and enhance Looker dashboards that monitor metrics curing trends and acquisition health.

You Have

• 5 years of experience in Marketing Analytics with experience working for an agency or internal marketing analytics team with a track record of the following:
• 5+ years of experience working in a data analytics or marketing analytics role.
• Experience working with marketing measurement tools, including multi-touch attribution, media mix modeling, incrementality testing, matched market testing, and A/B testing.
• Experience maintaining complex spreadsheets, SQL, Python, and data visualization tools like Looker or Tableau.
• Comfort working with large datasets and solving ambiguous problems.
• Excellent written and verbal communication / presentation skills -- particularly when explaining technical matters to less technical partners and vice versa.
• A high degree of motivation to go above and beyond the task at hand.
• Comfort working in a fast-paced, matrixed organization, with multiple stakeholders across time zones.

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