Data Product Manager / BI Lead

We are 3 Tier Beverages … one of the fastest-growing data analytics companies in the Adult Beverage space. Founded in late 2019, 3 Tier Beverages currently provides data solutions to 300+ beer, wine, and spirits partners across the United States and Europe.

We’re looking for a hands-on, strategic

Data Product Manager / BI

Lead to drive the next stage of our analytics evolution.

In this role, you’ll own the roadmap and execution for internal and client-facing data products, including dashboards, reporting workflows, BI architecture, automation, and scalable data processes. You’ll help turn complex Beverage Alcohol data into reliable tools, repeatable reporting, and practical business insights for consultants, analysts, leadership, and clients.

This is a BI and data product leadership role with meaningful hands-on work across SQL, reporting architecture, database management/development, automation, and AI-forward workflow improvement.

The right person has direct Beverage Alcohol experience and understands the realities of scan data, depletion data, syndicated data, retailer submissions, distributor/supplier dynamics, and client-facing analytics.

Pay

• Total compensation opportunity of $137,000+ including base salary, performance-based sales commission, and annual bonus

• Base salary: $120,000-$125,000 depending on experience

• Yearly bonus

Benefits:

• Fully remote position

• 5 weeks total paid time off annually… 3 weeks PTO plus a paid two-week company-wide shutdown between

• Christmas and New Year

• Healthcare covers 70% of individual premiums with UnitedHealthcare, including dental and vision options

• 401(k) with Principal with 3% salary match

• $200/month phone and internet stipend

Key Responsibilities:

BI Architecture & Reporting

• Lead the BI product roadmap, ensuring dashboards, reports, and data products are scalable, accurate, and aligned with business needs

• Design and standardize datasets across markets, clients, retailers, distributors, suppliers, and product hierarchies

• Write and optimize SQL for analysis, dashboards, reporting workflows, and recurring client outputs

• Build and improve dashboard templates, reporting tools, and BI-ready datasets in Power BI, Tableau, or similar platforms

• Establish consistent reporting logic, metric definitions, filters, naming conventions, and documentation across analytics deliverables

Data Systems & Scalability

• Support the continued development of data systems and backend reporting processes that power internal tools, dashboards, and client deliverables

• Partner with existing team members and technical resources to improve SQL pipelines, database structures, data processing workflows, and reporting reliability

• Help strengthen scan, depletion, retailer submission, VIP, and other commercial data processes to improve accuracy, consistency, and scalability

• Improve data structures for downstream use, including exports, PowerPoints, dashboards, reporting outputs, and client-facing deliverables

• Help identify data quality issues, troubleshoot recurring problems, and support stronger QA, documentation, and system reliability

Automation & AI-Forward Efficiency

• Build workflow automation using Python, SQL, AI tools, or equivalent technologies for Excel, PowerPoint, dashboards, and recurring reporting workflows

• Identify recurring manual work and convert it into scalable tools, templates, scripts, or documented processes

• Support automation initiatives, including VIP integrations, market audits, data processing workflows, and recurring client deliverables

• Use AI-forward tools and approaches to improve reporting efficiency, data quality checks, documentation, workflow automation, and team productivity

Strategic Oversight & Team Alignment

• Audit current workflows, tools, dashboards, datasets, and reporting processes to identify gaps and opportunities for improvement

• Define requirements for client portal and dashboard integration in collaboration with internal and external teams

• Prioritize analytics improvements based on business impact, client value, scalability, and execution effort

• Establish governance, standards, and best practices across the analytics team

Collaboration & Leadership

• Partner with consultants, leadership, and analysts to translate business needs into technical solutions

• Mentor analysts on BI usage, automation, AI-enabled workflows, documentation, and reporting best practices

• Support client-facing teams with reliable data products, reporting tools, dashboards, and repeatable analytics outputs