Analyst, Digital Forecasting

About the Role

Key Responsibilities

• Identify the benefits and challenges of different modeling approaches for each business unit and participate in period reviews of each methodology to support continuous improvement.
• Collaborate with analytics teams, leveraging statistical and machine learning techniques to measure and project user engagement across various KPIs.
• Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements.
• Translate ambiguous business questions into comprehensive analyses that deliver actionable insights for stakeholders.
• Evaluate and execute appropriate statistical methods for analysis and forecasting of user engagement.
• Create automated reports using Excel and visualization tools such as Tableau.
• Ensure data quality by monitoring internal/external data sources, escalating anomalies, and developing workarounds as needed.
• Work across stakeholders to define technical and business requirements for deliverables.
• Write and maintain advanced queries using Snowflake SQL and validate new data sources and tools in partnership with data science teams.

Requirements

• Minimum of one year of experience conducting qualitative business analyses and insights, or relatable work/internships.
• Advanced Excel and SQL skills.
• Experience using data visualization tools such as Tableau, Looker, or Microstrategy.
• Experience in forecasting, scenario planning, and modeling.
• Exceptional verbal, written, and listening communication skills.
• Experience with data management tools like SQL and Snowflake.
• Strong analytic skills, high attention to detail, and accuracy in a high-paced, ambiguous environment.
• Strong organizational and time management skills, with the ability to prioritize and multi-task.
• Reliable, resourceful, proactive, and able to work independently or in a team setting.
• Ability to work onsite in NYC 4+ days a week.

Nice to Have

• Knowledge and understanding of online advertising metrics and web analytics such as Adobe Analytics.
• Understanding of online metrics including impressions, page views, episode starts, and their relationships.

Qualifications

• Bachelor's degree in Data Science or a quantitative field.

Benefits & Perks

• Salary range of $82,000 to $109,800 per year, with potential bonuses and long-term incentive units.
• Full range of medical, financial, and other benefits, dependent on level and position.