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Manager, Finance - Business Intelligence

Job in Chicago, Cook County, Illinois, 60610, USA
Listing for: Verano Holdings
Full Time position
Listed on 2026-09-18
Job specializations:
  • Business
    Data Analyst, Business Intelligence
  • IT/Tech
    Data Analyst, Business Intelligence
Job Description & How to Apply Below

Manager, Finance
- Business Intelligence

Verano Holdings Corp., one of the U.S. cannabis industry's leading companies based on historical revenue, geographic scope, and brand performance, is a vertically integrated, multi-state operator embracing a mission of saying Yes to plant progress and the bold exploration of cannabis. Verano offers a superior cannabis shopping experience in medical and adult use markets under the Zen Leaf™ and MÜV™ dispensary banners and produces a comprehensive suite of high-quality, regulated cannabis products sold under its diverse portfolio of trusted consumer brands including Verano™, MÜV™, Savvy™, BITS™, Encore™, and Avexia™.

Verano's active operations span 13 U.S. states, comprised of 15 Cultivation and production facilities with over 1,000,000 square feet of cultivation capacity.

The Manager, Finance
- Business Intelligence is a hands-on, individual-contributor role responsible for building and maintaining the data models, dashboards, and reporting that drive revenue and cost insights, forecasting, and capital investment analysis. This role owns analytics development in Big Query and Power BI, supports monthly reporting and data reconciliation, and delivers ad hoc analysis for cross-functional teams to enhance regional performance and inform company-wide initiatives.

Essential Duties and Responsibilities:

  • Develop advanced business insights and analytical reports, ensuring data accuracy and relevance for strategic decision-making.
  • Build and maintain standardized data models and reporting practices across regions, partnering with cross-functional teams to establish consistent, high-impact insights.
  • Identify, monitor, and deliver KPIs, providing actionable recommendations that align with regional and corporate goals and enhance business performance.
  • Conduct in-depth analysis of profit and loss data on entity, state, and regional levels, utilizing insights to inform business strategy and optimize profitability.
  • Prioritize the accuracy and completeness of data used in business insights, aligning with corporate policies and quality standards.
  • Develop and refine internal protocols and best practices for data governance, reporting standards, and PowerBI based analytics.
  • Build and nurture relationships with key business partners, leveraging insights to drive transparency, operational excellence, and strategic alignment.
  • Utilize data analysis to advise and influence decision-makers on high-value, low-cost growth opportunities and process improvements.
  • Identify opportunities to streamline processes by transitioning from manual reporting to automated, data-driven insights using PowerBI and other business intelligence tools.
  • Prepare ongoing analytical reports and variance analyses to inform stakeholders on performance trends, risks, and opportunities for improvement.
  • Build and maintain data models and transformation logic (e.g., SQL and dbt on Big Query), including data quality tests, version control, and documentation, to support reliable downstream reporting.

Minimum Qualifications:

  • Bachelor's or equivalent degree in accounting, finance, economics, statistics, math, or relevant experience
  • 5+ years of related experience in financial operations, data analysis, business intelligence, and/or data science
  • Microsoft Office, specifically in Microsoft Word and Excel (advanced), experience required
  • Familiarity with financial reporting and P&L concepts; working knowledge of U.S. GAAP preferred
  • Strong ability to influence appropriate operational counterparts to timely closeout duties
  • 5+ years in an analyst capacity, data modeling, building dashboards, creating repeatable processes for measuring KPIs, and ad hoc analysis
  • Deep understanding of data flows of ingestion from multiple sources,…
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