

Business Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Business Analyst in Tempe, AZ or Charlotte, NC, requiring 5-7 years of data and BI experience, SQL proficiency, and a Bachelor's degree. Contract length and pay rate are unspecified; onsite work is mandatory.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
August 29, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Tempe, AZ
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π§ - Skills detailed
#Data Access #Data Modeling #"ETL (Extract #Transform #Load)" #Project Management #Microsoft Power BI #Documentation #Migration #Data Migration #Data Engineering #Business Analysis #SQL (Structured Query Language) #BI (Business Intelligence) #Data Integration #Leadership #Agile
Role description
Business Analyst
Location: Tempe, AZ or Charlotte, NC
Onsite required
Green Card or U.S. Citizen
THE ROLE
Our client is seeking an experienced and dynamic Sr. Business Analyst (BA) to oversee the requirements, design, testing and delivery of data-related solutions. This role is part of a Global Data Engineering and Business Intelligence (BI) team and drives actionable insights, enhances stakeholder engagement, and fosters a collaborative, high-performing team environment. The ideal candidate will have a strong technical background in Data and Business Intelligence (BI) and significant experience liaising between Engineering team members and business stakeholders.
WHAT YOUβLL DO
β’ Gather and document business requirements from stakeholders.
β’ Create source to target mapping for data integration projects.
β’ Develop mock-ups and prototypes to visualize solutions.
β’ Verify and validate developed solutions to ensure they meet business requirements.
β’ Facilitate hand-off of solutions to business users and provide necessary training and support.
β’ Act as the primary point of contact for business stakeholders, addressing challenges, clarifying expectations, and fostering a collaborative work environment.
β’ Ensure solutions align with project priorities, quality standards, and business needs.
WHAT YOUβLL NEED
Knowledge, skills, and other qualifications required:
β’ 5-7 years of experience in business analysis, focusing on data and Business Intelligence and Data Engineering.
β’ Proficiency in SQL, data modeling, data migrations and BI tools such as Power BI.
β’ Experience with source-to-target mapping and data integration projects.
β’ Strong leadership and team management skills.
β’ Excellent stakeholder management and communication skills.
β’ Ability to drive engagement and improvements through initiatives.
β’ Detail-oriented with substantial documentation and organizational skills.
β’ Passion for designing user-friendly interfaces that enhance data accessibility.
β’ Proactive and quick in resolving solution design issues, focusing on quality and performance.
β’ Strong communicator and team player, able to work effectively across departments.
β’ Ensures solutions are accurate, visually consistent, and thoroughly tested.
β’ Experience with Agile methodologies and project management tools.
β’ Strong analytical and problem-solving skills.
β’ Ability to work independently and manage multiple priorities in a fast-paced environment.
β’ Familiarity with data warehousing concepts and ETL processes.
Education/training required:
- Bachelorβs degree in information systems, Data Analytics, or a related field.
Business Analyst
Location: Tempe, AZ or Charlotte, NC
Onsite required
Green Card or U.S. Citizen
THE ROLE
Our client is seeking an experienced and dynamic Sr. Business Analyst (BA) to oversee the requirements, design, testing and delivery of data-related solutions. This role is part of a Global Data Engineering and Business Intelligence (BI) team and drives actionable insights, enhances stakeholder engagement, and fosters a collaborative, high-performing team environment. The ideal candidate will have a strong technical background in Data and Business Intelligence (BI) and significant experience liaising between Engineering team members and business stakeholders.
WHAT YOUβLL DO
β’ Gather and document business requirements from stakeholders.
β’ Create source to target mapping for data integration projects.
β’ Develop mock-ups and prototypes to visualize solutions.
β’ Verify and validate developed solutions to ensure they meet business requirements.
β’ Facilitate hand-off of solutions to business users and provide necessary training and support.
β’ Act as the primary point of contact for business stakeholders, addressing challenges, clarifying expectations, and fostering a collaborative work environment.
β’ Ensure solutions align with project priorities, quality standards, and business needs.
WHAT YOUβLL NEED
Knowledge, skills, and other qualifications required:
β’ 5-7 years of experience in business analysis, focusing on data and Business Intelligence and Data Engineering.
β’ Proficiency in SQL, data modeling, data migrations and BI tools such as Power BI.
β’ Experience with source-to-target mapping and data integration projects.
β’ Strong leadership and team management skills.
β’ Excellent stakeholder management and communication skills.
β’ Ability to drive engagement and improvements through initiatives.
β’ Detail-oriented with substantial documentation and organizational skills.
β’ Passion for designing user-friendly interfaces that enhance data accessibility.
β’ Proactive and quick in resolving solution design issues, focusing on quality and performance.
β’ Strong communicator and team player, able to work effectively across departments.
β’ Ensures solutions are accurate, visually consistent, and thoroughly tested.
β’ Experience with Agile methodologies and project management tools.
β’ Strong analytical and problem-solving skills.
β’ Ability to work independently and manage multiple priorities in a fast-paced environment.
β’ Familiarity with data warehousing concepts and ETL processes.
Education/training required:
- Bachelorβs degree in information systems, Data Analytics, or a related field.