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# Sr. Associate, Data Analysis & Visualization

- **Company:** Aspiriamo
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Information Engineering, Data Infrastructure, Document-Oriented Databases, Machine Learning, SQL Databases, Data Analytics
- **Published:** November 12, 2026
- **Apply:** https://alcon.wd5.myworkdayjobs.com/careers_alcon/job/Fort-Worth-Texas/Sr-Associate--Data-Analysis---Visualization_R-2026-50528-2

## About the Role

* Bachelor's Degree or Equivalent years of directly related experience (or high school +10 yrs; Assoc.+6 yrs; M.S.+0 yrs)
 * The ability to fluently read, write, understand and communicate in English
 * 2 Years of Relevant Experience, * Proven ability to translate complex data into business insights, recommendations, and decisions
 * Strong experience with data analytics, visualization, and data engineering in a supply chain or operations environment
 * Experience with modern data platforms, dashboarding tools, SQL, and advanced analytical techniques such as predictive modeling
 * Strong stakeholder management and communication skills across technical, operational, and business teams
 * Strong organizational and interpersonal skills, with the ability to manage ambiguity and learn quickly

## Description

This role is an individual contributor responsible for developing and scaling a trusted data and analytics foundation for Global Supply Chain. The Sr. Associate, Data Analysis & Visualization enables data-driven decision-making across S&OP, S&OE, and execution by delivering standardized analytics, scalable reporting, and actionable insights aligned to business priorities.

Specifics Include:

 * Build and govern the data foundation: Develop data models, document data ownership, and apply quality standards that support a consistent source of truth across supply chain
 * Establish analytics frameworks: Standardize reporting logic, definitions, and analytical methods for forecast performance, inventory, service, and execution
 * Deliver insights and visualization: Create dashboards, reports, and analytical tools that translate complex data into clear, actionable insights for operational and executive decision-making
 * Enable planning and execution: Provide consistent, scalable analytics and reporting that support S&OP, S&OE, and day-to-day supply chain execution
 * Partner with the business: Translate business questions into analytical requirements and solutions that support launches, recovery plans, performance reviews, and network decisions
 * Drive automation and scalability: Reduce manual reporting, improve repeatability, and increase efficiency through automated data preparation, reporting, and quality-control processes
 * Lead technical delivery: Independently manage data analysis and visualization projects, coordinate with stakeholders, and ensure agreed scope, quality, and delivery expectations are met
 * Apply advanced analytics: Use statistical analysis, predictive modeling, machine learning, and other data science techniques when appropriate to identify patterns, risks, and opportunities
 * Promote adoption and consistency: Create documentation, share analytical standards, and help business users adopt dashboards and self-service tools without serving as a direct people manager