Forecasting Analyst II

The job overview for this position is that SimpliSafe, a high-tech home security company, is seeking a Forecasting Analyst to join their Customer Experience department. The analyst will be responsible for building, maintaining, and owning forecasts for important metrics within the department. They will collaborate with the Customer Experience Analytics team and senior-level stakeholders to gather inputs, improve forecast accuracy, and track forecast performance. The successful candidate will have a strong background in data analytics and forecasting, proficiency in SQL and Microsoft Excel, and excellent analytical and interpersonal skills.

• Assist in building and maintaining 1 or more different forecasts for critically important variables within SimpliSafe’s Customer Experience department
• Develop strong relationships with key partners in loyalty, growth, customer marketing, and contact center teams
• Utilize SQL to gather and analyze data for use in the modeling process
• Work with stakeholders and consumers of forecast output to gain deep understanding of planned business activities and macro factors, and quantitatively incorporate these elements into forecasting work
• Investigate and quantify potential drivers of forecast error, present findings, and devise methods to reduce error with each subsequent reforecast
• Understand and adapt to a constantly changing operating environment
• Deliver forecasts within an accuracy band established with stakeholders
• Develop and execute a plan for continually improving forecast accuracy over time

• Bachelor's degree in statistics, mathematics, or a similar quantitative field
• Minimum of 1-2 years of experience in data analytics and/or forecasting
• Proficiency in SQL (or similar database query languages)
• Proficiency in Microsoft Excel and PowerPoint
• Experience with Tableau (or similar BI platforms)
• Solid understanding of statistics
• Excellent analytical skills
• Strong interpersonal skills
• Ability to clearly communicate across all levels of the organization

• Hybrid work model with flexibility to work from home and office
• Opportunities for growth and career development
• Collaboration and innovation-focused culture
• Smart, talented, and humble colleagues
• Opportunity to make a huge impact on the lives of customers
• Strong emphasis on forecast accuracy and improvement
• Strong relationships with key partners in various departments
• Utilization of SQL and data analytics skills
• Proficiency in Microsoft Excel, PowerPoint, and Tableau
• Solid understanding of statistics
• Excellent analytical and interpersonal skills
• Clear communication across all levels of the organization
• Formal exposure to machine learning modeling applications (preferred)
• Experience with Python or similar scripting languages (preferred)
• Experience in a consumer products or subscription business (preferred)
• Equal opportunity employer with support for individuals with disabilities