Commercial & AI Analyst
- North Richland Hills, TX, United States
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Job details
- Experience
- Bachelor’s degree in a relevant field and 2+ years of experience in an analytical role
- Posting language
- English
- Posted
Original job description
Position Summary
The Commercial & AI Analyst will play a significant role in supporting the delivery of our growth strategy by supporting the Sales, Operations, Product Management, Marketing, Digital, and Pricing teams with insight & data to help drive business decisions. This role will involve hands-on engagement with business data and the commercial agenda. The role will have responsibility for creating and maintaining reports and dashboards, providing analysis and making recommendations to leadership, and providing ad-hoc data support across departments globally.
This role will also leverage advanced analytics and AI techniques to identify patterns, generate predictive insights, and support data-driven automation and decision-making across the business.
This role goes beyond traditional reporting and analytics by applying advanced data science and AI techniques to proactively drive business performance and enable scalable, automated decision-making.
Essential Duties & Responsibilities
- Carry out in-depth analyses of business activities to identify learnings and recommendations
- Develop and maintain reports to help stakeholders manage and grow the business
- Work on ad hoc data and analysis requests from business teams
- Act as lead analyst across various project teams
- Monitor business performance against targets and report to leadership
- Develop and contribute to business reviews and leadership presentations
- Develop and apply predictive and prescriptive analytics models
- Leverage AI and machine learning techniques to uncover insights from complex datasets
- Partner with Technology & AI teams to identify and prioritize AI use cases
- Translate business problems into analytical and AI-driven solutions
- Evaluate and monitor performance of analytical and AI models
- Support data preparation and feature engineering for modeling
- Contribute to responsible AI practices including governance and explainability
- Identify opportunities to automate reporting and decision workflows
- Other duties as assigned
Qualifications
Education & Experience Requirements
- Bachelor’s degree in a relevant field and 2+ years of experience in an analytical role
- Advanced Excel and Power BI skills
- Experience with SQL and data structures
- Experience with predictive analytics or statistical modeling
- Familiarity with Python or similar tools
- Experience working with large and complex datasets
- Understanding of AI/ML lifecycle (training, validation, monitoring)
- Awareness of data governance, bias, and explainability principles
- Strong communication and presentation skills
- Detail-oriented with strong problem-solving abilities
Physical Requirements:
- Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
- Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards
This position requires applicants to be authorized to work in the US without sponsorship; TestEquity does not sponsor applicants for work visas.
TestEquity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
More about this job
Skills
- Sales
- Decision making
- Leadership
- Presentation skills
- Machine learning
- Reporting
- Microsoft Excel
- Microsoft Power BI
- SQL
- Python
- ML
- Communication skills
- Problem solving
- Recruitment