Director of Analytics and Planning- Marketing

About the role

The Director of Analytics and Planning- Marketing at West Shore Home is responsible for managing marketing planning, forecasting, and budget alignment processes for all branches. The role also involves collaborating with senior marketing leaders to determine budget plans and performance expectations, utilizing historical marketing performance data to develop long-term budget plans and forecasts, and training and developing Divisional Marketing Managers to effectively manage branch-level marketing budgets.

Responsibilities

• Serve as the primary interface between Marketing and FP&A and supports the Marketing team.
• Create and manage marketing forecast models.
• Collaborate with senior level marketing leaders on the overall marketing strategy and approach to determine budget plans and performance expectations.
• Utilize historical marketing performance data to develop long-term budget plans and forecasts to showcase spend and appointments per day by product vertical at each branch location.
• Take necessary action to add or reduce spend levels for different marketing sources to ensure that spend remains close to the budget and on track to achieve the company appointment targets.
• Develop data-driven forecasts to accurately predict the appointment and sales volumes expected from the marketing plan utilizing historical performance data.
• Train and develop Divisional Marketing Managers to effectively manage branch-level marketing budgets with the goal of achieving the sales target at the lowest possible marketing cost.

Requirements

• Must be authorized to work in the United States without requiring current or future employer-sponsored work authorization.
• 5+ years of experience with forecasting and modeling for performance based marketing.
• Bachelor's Degree, required.
• Proven experience developing and executing efficiency improvement plans to streamline the marketing budgeting and target-setting process through automations.
• Previous experience utilizing AI and ML in performance modeling and forecasting, preferred.
• Advanced proficiency in Excel, required.
• Advanced proficiency with data analysis and performance forecast modeling using analytics platforms such as Databricks and Power BI, required.

Qualifications

• Must be authorized to work in the United States without requiring current or future employer-sponsored work authorization.
• Bachelor's Degree, required.
• Proven experience developing and executing efficiency improvement plans to streamline the marketing budgeting and target-setting process through automations.
• Previous experience utilizing AI and ML in performance modeling and forecasting, preferred.
• Advanced proficiency in Excel, required.
• Advanced proficiency with data analysis and performance forecast modeling using analytics platforms such as Databricks and Power BI, required.

Skills

• Data analysis and performance forecast modeling using analytics platforms such as Databricks and Power BI.
• Experience with AI and ML in performance modeling and forecasting.
• Proficiency in Excel.

Benefits

• Comprehensive Health Insurance options (Medical, Dental, Vision, Accident, Life, Critical Illness, Short and Long-Term Disability).
• 401(k) Retirement Plan with company match.
• HSA plan with company match.
• Paid holidays and paid time off (PTO).
• Employee Referral Program.
• Employee Discount Program.
• Paid training and unlimited professional growth potential.

Pay

Compensation is competitive and commensurate with experience.

Schedule

Monday-Friday, 8:00AM-5:00PM (Full-Time)

Company Culture

We believe that when employees feel valued and supported, they perform at their best. Our dedication to fostering a strong, value-driven culture has consistently earned us the Top Workplaces USA award as one of the nation’s top employers, including recognition in Leadership, Purpose & Values, and Compensation & Benefits.

Equal Opportunity Employer

The Company will not sponsor applicants for work visas. We are committed to providing equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.