Summary
The Director of Planning & Analytics supports all quantitative modeling activity, research, data aggregation, and related reporting in the organization to help the executive team make sound business decisions in operations, marketing, retail, and finance. The primary responsibility of this role is to drive the company’s quantitative planning and modeling in cultivation, manufacturing, and retail. To support this essential responsibility, additional systematic and ad-hoc quantitative modeling is required. A very high proficiency in Excel is required. The insights from this data and insights work will generate actionable insights to materially improve strategic decision making, drive revenue, and enhance the financial performance of the organization. This role works closely with key stakeholders in finance, operations, marketing, and retail to develop and execute key strategic priorities for the firm. The Director is a key part of developing, evaluating, and executing plans for new business, products, growth initiatives, and supporting strategic transactions-- including partnerships, licensing deals, joint ventures, mergers, acquisitions, and dispositions on behalf of the company.
Essential Duties & Responsibilities
- Provides systematic quantitative models that illustrate the organizations core financial plans in cultivation, manufacturing, retail, and finance
- Manages how the organization is performing relative to each plan in each department and reports progress and escalates anomalies to relevant stakeholders while advising on initiatives to close performance gaps.
- Conducts cultivation, manufacturing, wholesale, and retail analytics to support the creation of optimized quantitative plans.
- Collaborates and coordinates with key leadership in each major business division to establish and refine models and plans to optimize the organization’s revenue and earnings.
- Performs market research and the construction of timely reporting of relevant data used to refine GDF’s modeling, forecasting, and strategy.
- Conducts data room organization and due diligence and develops reporting decks.
- Completes ad-hoc modeling requests that offer deeper insights for the executive team and our investors.
- Supports all research and analysis to ensure the company is executing its multi-tiered pricing and brand strategy across its many dynamic markets.
- Maintains the company’s data and insights dashboards and relevant data pipelines.
- Manages, warehouses, and updates all internal financial models for all states.
- Identifies quantitatively substantiated pricing and assortment strategies to optimize market share and drive top and bottom-line performance.
- Completes data driven optimization projects of internal operations, from cultivation to retail, as assigned.
- Advises the company’s leadership team on technological solutions, tools, and resources to improve quantitatively driven decision making.
- Forecasts peer companies’ performances, particularly publicly traded cannabis MSOs.
- Completes ad hoc analytical projects.
Minimum Qualifications
- Bachelor’s Degree
- Master’s Degree in quantitative field
- Five years of finance or analytical experience, with a preference for corporate finance experience.
- Demonstrated technical expertise in analytical tools, especially Microsoft Excel
- Excellent analytical, financial modeling and problem-solving skills
- Highly organized with exceptional attention to detail and follow through
- Ability to prioritize objects in a dynamic, challenging environment
- Strong ability to manage multiple projects with competing deadlines
- Team player with positive attitude and exceptional work ethic
- Strong communications skills (written and verbal)
- Ability to diagnose complex information, while identifying pertinent information to facilitate strategic decision making
- Able to think strategically and operate effectively with management
- Ability to self-direct, analyze, evaluate, and form independent judgements
- Ability to effectively interact and build relationships with senior management and key stakeholders
- Commercially savvy with ability to exercise discretion with respect to highly confidential/sensitive information
- Integrity, ethical standards, and sound judgement