DataEdge Consulting

Data Analyst / W2 ONLY / REMOTE

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 4, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - 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 β€œData Analyst”, 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€’ Bachelor’s 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.