

DataEdge Consulting
Data Analyst / W2 ONLY / REMOTE
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Data Analyst" on a contract basis, remote or in Charlotte, NC, with a pay rate of "W2 ONLY." Requires 4+ years of experience, strong SQL and Snowflake skills, and familiarity with Agile methodologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 4, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Analysis #Data Integrity #Scrum #Snowflake #Data Quality #Data Accuracy #DevOps #Business Analysis #Data Science #Data Management #"ETL (Extract #Transform #Load)" #Stories #Azure DevOps #SQL (Structured Query Language) #Azure #Agile
Role description
Data Analyst / REMOTE or Charlotte NC / Contract / OUR DIRECT CLIENT
About our Customer & Role:
Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a βData Analystβ, who will be responsible for collecting, analyzing, and interpreting data to support ERP and VMS data, while also bridging business and functional requirements.
KEY SKILLS:
β’ Experience working with large sets of data.
β’ Strong SQL Skills
β’ Snowflake experience, a big Plus
Qualifications:
β’ Minimum of 4 years of experience in a Data Analyst, Functional Analyst, or Business Analyst role, ideally within software development, ERP implementation, or digital product environments.
β’ Proficient in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook); familiarity with collaboration tools such as Miro and Azure DevOps is a plus.
β’ Experience working on Agile projects or within Agile teams (Scrum, SAFe, or similar frameworks).
β’ Strong communication and interpersonal skills, with the ability to collaborate across technical and business teams.
β’ Demonstrated ownership, accountability, and commitment to delivering high-quality data outcomes.
β’ Analytical and critical thinking abilities, with a proactive approach to problem-solving using data.
β’ Highly organized and detail-oriented, able to manage multiple priorities and deliverables under tight deadlines.
β’ Skilled at building relationships, influencing stakeholders, and driving alignment on data-driven solutions.
β’ Willingness to travel occasionally (<5%) to support project initiatives and collaborate with sector teams
β’ Bachelorβs degree in Information Systems, Data Science, or a related field preferred.
Responsibilities:
β’ Gather, analyze, and interpret data from ERP systems to support business decision-making and process optimization.
β’ Collaborate with business stakeholders, cross-functional teams, and third-party vendors to understand data requirements and translate them into actionable insights.
β’ Work closely with Product Managers, Product Owners, and developers to define and refine data-driven features, ensuring alignment with business and functional objectives.
β’ Develop a deep understanding of business domains and system functionalities to facilitate data-driven decisions and process improvements.
β’ Break down complex business and functional requirements into detailed data models, user stories, and tasks ready for development.
β’ Identify and communicate risks, dependencies, and process gaps using data analysis, and propose solutions to optimize system performance.
β’ Translate business and functional needs into clear, testable data requirements and acceptance criteria.
β’ Ensure delivered solutions meet data quality standards and support strategic transformation goals.
β’ Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog grooming, and retrospectives.
β’ Track progress of data-related deliverables, ensuring milestones are met and quality standards are maintained.
β’ Manage post-implementation feedback, supporting enhancements and system optimization based on user input and data analysis.
β’ Develop and execute data validation and testing scripts; collaborate with QA and other analysts to support end-to-end testing.
β’ Evaluate system outputs to verify they meet defined data requirements and quality standards.
β’ Provide support for ERP systems, including troubleshooting and resolving data-related issues via a ticketing system.
β’ Support the adoption and optimization of new and existing transaction types, promoting best practices in data management and system usage.
β’ Administer configuration changes and enhancements to ERP systems to support integrations and data accuracy.
β’ Coordinate with IT and third-party providers for technical changes, testing, and certification processes, focusing on data integrity.
Data Analyst / REMOTE or Charlotte NC / Contract / OUR DIRECT CLIENT
About our Customer & Role:
Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a βData Analystβ, who will be responsible for collecting, analyzing, and interpreting data to support ERP and VMS data, while also bridging business and functional requirements.
KEY SKILLS:
β’ Experience working with large sets of data.
β’ Strong SQL Skills
β’ Snowflake experience, a big Plus
Qualifications:
β’ Minimum of 4 years of experience in a Data Analyst, Functional Analyst, or Business Analyst role, ideally within software development, ERP implementation, or digital product environments.
β’ Proficient in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook); familiarity with collaboration tools such as Miro and Azure DevOps is a plus.
β’ Experience working on Agile projects or within Agile teams (Scrum, SAFe, or similar frameworks).
β’ Strong communication and interpersonal skills, with the ability to collaborate across technical and business teams.
β’ Demonstrated ownership, accountability, and commitment to delivering high-quality data outcomes.
β’ Analytical and critical thinking abilities, with a proactive approach to problem-solving using data.
β’ Highly organized and detail-oriented, able to manage multiple priorities and deliverables under tight deadlines.
β’ Skilled at building relationships, influencing stakeholders, and driving alignment on data-driven solutions.
β’ Willingness to travel occasionally (<5%) to support project initiatives and collaborate with sector teams
β’ Bachelorβs degree in Information Systems, Data Science, or a related field preferred.
Responsibilities:
β’ Gather, analyze, and interpret data from ERP systems to support business decision-making and process optimization.
β’ Collaborate with business stakeholders, cross-functional teams, and third-party vendors to understand data requirements and translate them into actionable insights.
β’ Work closely with Product Managers, Product Owners, and developers to define and refine data-driven features, ensuring alignment with business and functional objectives.
β’ Develop a deep understanding of business domains and system functionalities to facilitate data-driven decisions and process improvements.
β’ Break down complex business and functional requirements into detailed data models, user stories, and tasks ready for development.
β’ Identify and communicate risks, dependencies, and process gaps using data analysis, and propose solutions to optimize system performance.
β’ Translate business and functional needs into clear, testable data requirements and acceptance criteria.
β’ Ensure delivered solutions meet data quality standards and support strategic transformation goals.
β’ Participate in Agile ceremonies, including daily stand-ups, sprint planning, backlog grooming, and retrospectives.
β’ Track progress of data-related deliverables, ensuring milestones are met and quality standards are maintained.
β’ Manage post-implementation feedback, supporting enhancements and system optimization based on user input and data analysis.
β’ Develop and execute data validation and testing scripts; collaborate with QA and other analysts to support end-to-end testing.
β’ Evaluate system outputs to verify they meet defined data requirements and quality standards.
β’ Provide support for ERP systems, including troubleshooting and resolving data-related issues via a ticketing system.
β’ Support the adoption and optimization of new and existing transaction types, promoting best practices in data management and system usage.
β’ Administer configuration changes and enhancements to ERP systems to support integrations and data accuracy.
β’ Coordinate with IT and third-party providers for technical changes, testing, and certification processes, focusing on data integrity.






