Simon & Schuster - New York, NY

posted 4 days ago

Full-time - Mid Level
New York, NY
Publishing Industries

About the position

The Data Analyst position at Simon & Schuster focuses on marketing analytics, providing essential data-driven insights to shape corporate marketing strategies and imprint initiatives. The role involves building and running reports, performing complex analyses, managing reporting systems, and translating data into actionable visuals for stakeholders.

Responsibilities

  • Gather, process, and ensure the quality of data from various sources for analysis.
  • Translate complex data into actionable insights and clear narratives through presentations, reports, or dashboards.
  • Assist in defining and refining data architecture to align with business needs.
  • Build, automate, and maintain insightful reports and dashboards using visualization tools like Tableau and Power BI.
  • Collaborate with the advertising team to integrate their metrics into larger marketing reports.
  • Oversee the maintenance and enhancement of existing reporting systems.
  • Identify opportunities for improving data processes and reporting workflows.
  • Provide consulting support to marketing leadership with analytic expertise.

Requirements

  • Bachelor's degree in Data Science, Marketing Analytics, Statistics, or a related field.
  • 3+ years of experience in data analysis, focusing on marketing analytics or advertising data metrics.
  • Proficiency in data analysis tools and programming languages, with advanced skills in data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of advertising metrics and marketing analytics, including CTR, ROAS, CPC, and conversion rates.
  • Demonstrated experience in managing and optimizing reporting systems.
  • Excellent analytical skills to turn complex data into actionable recommendations.
  • Strong communication skills to present data insights clearly to marketing stakeholders.

Benefits

  • 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Tuition reimbursement
  • Vision insurance
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