518 Research Data Analyst jobs in Dallas,TX

American Airlines

Fort Worth, TX 76101

McKesson Careers

Irving, TX 75061

Xpedient Logistics

Dallas, TX 75201

Packaging Corporation Of America

Carrollton, TX 75007

High school diploma/GED
Ability and willingness to work overtime on short notice, both during the week and weekends
Ability to work in manufacturing environment, with varying temperatures
Must be authorized to work in the U.S.

Spectrum

Fort Worth, TX 76126

High School Diploma or equivalent work experience
Ability to read, write, speak, and understand multiple languages (English and Spanish)
A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Spend approximately 90% of time outdoors in all seasons, with potential exposure to inclement weather
Must be able to work outdoors
Exposure to moderate noise levels

McKesson

Irving, TX 75039

Stellus Rx

Plano, TX 75024

Typically requires a Bachelor's degree
5+ years of experience in product management
Strong strategic thinking and problem-solving skills
Understanding of software development processes and the ability to communicate effectively with engineering teams
Comfort operating within a structured, gate-based development lifecycle where AI tooling accelerates delivery across discovery, requirements, and quality assurance phases
In-depth knowledge of market trends, competitive landscape, and customer needs
Ability to lead cross-functional teams, influence stakeholders, and drive consensus among differing opinions
Proficiency in data analysis, using metrics to drive decision-making and product improvements
Excellent verbal and written communication skills to articulate product vision, requirements, and updates to various stakeholders
Flexibility to adapt to changing priorities in an agile environment; openness to evolving workflows that integrate AI-assisted tooling into day-to-day product operations, with a mindset oriented toward continuous improvement of how work gets done—not just what gets built