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Sazerac Company

Data Analyst - Sales

Sazerac Company
Switzerland · Full-time · Entry

Sazerac Company Overview

Build your career at Sazerac! With almost 400 years of rich history, Sazerac Company has thrived as an independent, American family-owned company with operations in the United States and around the world. Since the 2000s, Sazerac has averaged double digit growth every year! Sazerac Company produces and markets the most award-winning bourbons and whiskeys in the world, including Buffalo Trace, Pappy Van Winkle, Eagle Rare, Blanton’s, Traveller, and Sazerac Rye. Additionally, Sazerac owns many popular brands across a range of spirits, including Fireball, Svedka, Wheatley, BuzzBallz, Southern Comfort, Seagram’s V.O., Myers’s, Goldschläger, Parrot Bay, 99 Brand, and Platinum Vodka.

Company/Location Overview

Lucerne, Switzerland (Hybrid working model)

Job Description/Responsibilities

Play a critical role in advancing data-driven decision making across Sazerac’s global sales. Focusing on building scalable analytics tools, enhancing, and standardizing performance reporting to improve efficiency, service, and sales performance. A core mandate of the Sales Analytics function is to unlock market visibility and productivity by developing time saving tools, automating manual processes, and enhancing/developing the organization’s suite of dashboards and decision support tools.

This role operates within the Global Business Analytics function and plays a key role in shaping scalable, standardized analytics capabilities for Sales globally. This role will lead the design, development, and deployment of these capabilities while partnering closely with stakeholders across Global Sales and Finance.

Key Responsibilities

  • Design, build, and enhance interactive dashboards and analytics tools to monitor sales performance and KPIs.
  • Develop scalable data models and reporting frameworks using modern BI platforms.
  • Identify opportunities to unlock market visibility and productivity through automation and analytics.
  • Standardize and improve existing dashboards, reports, and sales data products.
  • Partner cross-functionally to translate business needs into actionable analytics solutions.
  • Conduct deep-dive analyses across global sales performance.
  • Support scenario modeling, forecasting inputs, and decision support.
  • Improve accessibility and usability of sales data across enterprise systems.
  • Present insights and recommendations to both technical and non-technical stakeholders.
  • Provide technical guidance and mentoring to business analysts and contribute to analytics standards and best practices.
  • Act as a trusted analytics partner to Sales leadership, translating complex operational challenges into data-driven insights and actions.

Qualifications/Requirements

Required Qualifications:

  • 3+ years of relevant data analytics experience
  • Strong analytical, pattern recognition & problem-solving skills with a focus on sales and finance data.
  • Advanced experience withPower BI and Microsoft Fabric (data modeling, visualization, and DAX).
  • Proficiency in SQL and working with enterprise data environments.
  • Experience with reading data warehouse and/or data lake architecture.
  • Ability to translate complex data into clear business insights and actions.
  • Strong communication and stakeholder engagement skills.
  • Experience managing multiple priorities in a fast-paced environment.
  • Bachelor’s degree in Data Analytics, Finance, or related field.

Preferred Qualifications

  • Supporting sales or finance functions.
  • Familiarity with Agile / Scrum methodologies.
  • Exposure/skill in Python, Databricks, or similar tools.
  • Experience in the alcohol beverage or FMCG/ CPG industry.
  • Exposure to self-service BI and data standardization initiatives

Key Skills

Ranked by relevance

data warehouse python scrum sql
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Posted
Mar 04, 2026
Type
Full-time
Level
Entry
Location
Römerswil LU

Industries

Beverage Manufacturing Wholesale Alcoholic Beverages Wholesale Food Beverage

Categories

Information Technology

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