Business Analyst (IT): III

Senior Business Analyst IIILocation: Tempe, AZ - Fully OnsiteTeam: Data Engineering & Business IntelligenceContract-to-HireAs a Senior Business Analyst on our Global Data Engineering and Business Intelligence (BI) team, you’ll play a critical role in shaping data-driven solutions that empower decision-making across the organization.

You’ll partner closely with engineering teams and business stakeholders to translate complex requirements into scalable, high-impact data products.

Your work will drive actionable insights, elevate stakeholder engagement, and foster a collaborative, high-performing team culture.
This job will have the following responsibilities:

Lead requirements gathering sessions with cross-functional stakeholders to define business needs.

Translate business requirements into detailed documentation, including source-to-target mappings for data integration.

Design and iterate on solution mock-ups and prototypes to visualize user experiences.

Validate and test data solutions to ensure alignment with business goals and quality standards.

Manage stakeholder communications, set clear expectations, and resolve challenges throughout the project lifecycle.

Deliver training and support to business users during solution hand-off.

Ensure solutions are scalable, user-friendly, and aligned with project priorities and performance benchmarks.

Qualifications & Requirements:

Bachelor’s degree in Information Systems, Data Analytics, or a related technical field.

5–7 years of experience in business analysis, with a focus on data engineering and BI.

Proficiency in SQL, data modeling, and BI tools (., Power BI).

Experience with data integration and source-to-target mapping.

Strong analytical and problem-solving skills, with a keen attention to detail.

Excellent communication and stakeholder management skills.

Demonstrated ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

Experience designing intuitive, user-friendly data interfaces.

Familiarity with Agile methodologies and project management tools.

Strong leadership and team collaboration skills.

Knowledge of data warehousing concepts and ETL processes.

Passion for driving continuous improvement and delivering high-quality solutions.