Sr. Associate, Data Integrity Analyst, Center of Excellence - Americas Commercial Operations

Alcon Research•Fort Worth, TX

About The Position

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact on the lives of our patients and customers. Are you ready to join us? We foster an inclusive culture and are looking for diverse, talented people to join Alcon. As a Data Integrity Analyst supporting the Center of Excellence team in Americas Commercial Operations, you will be trusted to build robust, scalable, and reliable data pipelines and processes that ensure accuracy and consistency across critical business systems. In collaboration with IT partners, you will leverage modern data engineering tools and cloud technologies to maintain high-quality data standards that enable informed decision-making and operational excellence. In this role, a typical day will include: Design, implement, and maintain ETL/ELT data pipelines using Alteryx, SQL, and AWS across multiple data sources. Validate, cleanse, and monitor data quality across Salesforce, analytics platforms, and data lakes, including automated integrity checks. Build scalable, automated solutions for data ingestion, transformation, anomaly detection, and root‑cause analysis. Develop Tableau dashboards and reports to track data health, highlight trends, and deliver actionable insights. Collaborate with Sales Ops, Marketing, Finance, and IT to align data governance practices and support cross‑functional data needs. Utilize AWS S3, Athena, and Glue for cloud‑based data storage, querying, and transformation. Implement data governance standards, automated compliance checks, and documentation to reduce data quality incidents and improve audit outcomes. Define and operationalize data lineage, cataloging, and classification across systems.

Requirements

Bachelor’s Degree or equivalent years of directly related experience (High School + 10 years; Associate’s + 6 years; Master’s + 0 years)
Ability to fluently read, write, understand, and communicate in English
2 years of relevant experience

Nice To Haves

Experience using Python for data processing and automation
Familiarity with data governance frameworks and best practices
Ability to operate effectively in a fast‑paced, cross‑functional environment
Relevant experience in data engineering, data governance, or analytics

Responsibilities

Design, implement, and maintain ETL/ELT data pipelines using Alteryx, SQL, and AWS across multiple data sources.
Validate, cleanse, and monitor data quality across Salesforce, analytics platforms, and data lakes, including automated integrity checks.
Build scalable, automated solutions for data ingestion, transformation, anomaly detection, and root‑cause analysis.
Develop Tableau dashboards and reports to track data health, highlight trends, and deliver actionable insights.
Collaborate with Sales Ops, Marketing, Finance, and IT to align data governance practices and support cross‑functional data needs.
Utilize AWS S3, Athena, and Glue for cloud‑based data storage, querying, and transformation.
Implement data governance standards, automated compliance checks, and documentation to reduce data quality incidents and improve audit outcomes.
Define and operationalize data lineage, cataloging, and classification across systems.