Sr. Associate, Data Analysis & Visualization

Alcon•Fort Worth, TX

15h•Onsite

About The Position

This individual contributor role develops and scales a trusted data and analytics foundation for Alcon’s Global Supply Chain. The Sr. Associate enables data-driven decision-making across S&OP, S&OE, and supply chain execution by delivering standardized analytics, scalable reporting, and actionable insights aligned with business priorities. The role works with business stakeholders to translate questions into analytical solutions and independently manages technical delivery, ensuring agreed scope, quality, and timelines. It promotes adoption of consistent analytical practices and self-service tools without direct people-management responsibilities. The position is onsite in Fort Worth, Texas, and is scheduled for first shift, Monday through Friday, 8:00 a.m. to 5:00 p.m. CST. Travel is 0–10%. Sponsorship and relocation are not available.

Requirements

Bachelor’s degree or equivalent years of directly related experience; alternatively, high school education plus 10 years, an associate degree plus 6 years, or an M.S. with no additional experience specified.
Fluent ability to read, write, understand, and communicate in English.
Two years of relevant experience.

Nice To Haves

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.

Responsibilities

Develop data models, document data ownership, and apply quality standards to establish a consistent supply chain source of truth.
Standardize reporting logic, definitions, and analytical methods for forecast performance, inventory, service, and execution.
Create dashboards, reports, and analytical tools that turn complex data into actionable insights for operational and executive decision-making.
Provide scalable analytics and reporting to support S&OP, S&OE, and day-to-day supply chain execution.
Translate business questions into analytical requirements and solutions for launches, recovery plans, performance reviews, and network decisions.
Automate data preparation, reporting, and quality-control processes to reduce manual work and improve efficiency and repeatability.
Independently manage data analysis and visualization projects, coordinate with stakeholders, and meet agreed scope, quality, and delivery expectations.
Apply statistical analysis, predictive modeling, machine learning, and other data science techniques as appropriate to identify patterns, risks, and opportunities.
Create documentation, share analytical standards, and support adoption of dashboards and self-service tools among business users.