Innovatech Staffing

Data Analyst (W2 Only)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Tempe, AZ, on a W2 contract for an unspecified length, offering a competitive pay rate. Requires 3+ years of data analysis experience, proficiency in SQL, and knowledge of data mapping and transformation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ADLS (Azure Data Lake Storage) #Azure #Data Warehouse #Logging #Azure ADLS (Azure Data Lake Storage) #Azure SQL Database #Database Design #Azure Cosmos DB #Data Migration #Data Lake #Migration #Data Architecture #Data Integration #Data Mapping #NoSQL #Business Analysis #Storage #Data Analysis #Data Accuracy #ML (Machine Learning) #Data Science #Normalization #MS SQL (Microsoft SQL Server) #SQL Server #"ETL (Extract #Transform #Load)" #Data Quality #Data Management #SQL (Structured Query Language) #Databricks #Metadata #Data Lineage #KQL (Kusto Query Language) #Azure Machine Learning #Data Cleansing #Azure SQL #Data Governance
Role description
Responsibilities Kforce has a client that is seeking a Data Analyst in Tempe, AZ. Key Responsibilities • : Perform detailed data analysis on source system data to identify anomalies, inconsistencies, and data quality issu • esSupport data analysis, profiling, and transformation activities across legacy and target systems, including movement between relational, NoSQL, and object storage environmen • tsDevelop and maintain two-way data mappings (source-to-target and target-to-source) to ensure completeness, traceability, and alignment with business requiremen • tsMaintain a strong understanding of target data models, database structures, and data usage patterns to support accurate transformation and validati • onContribute to the architecture and management of data lake and data warehouse solutions, ensuring data is structured, performant, and accessible for downstream consumpti • onCollaborate with Business Analysts, Technical Architects, and development teams to translate business rules into data mappings and transformation log • icIdentify data quality issues, anomalies, and gaps; support data cleansing decisions; And ensure alignment with approved data mapping and transformation rul • esPerform and support data validation and reconciliation activities to confirm data accuracy, completeness, and usability across all pipeline and migration process • esDocument data flows, schemas, mappings, and transformation logic to support traceability, auditability, and governance requiremen • tsContribute to the continuous improvement of data platform architecture, tooling, and data migration strategies in alignment with organizational standards and best practic esRequiremen • ts 3+ years of experience in data analysis, development, or a related role supporting data integration or migration initiati • vesSolid understanding of database design principles, including relational modeling, normalization, and denormalization strateg • iesDemonstrated ability to move and transform data across structured, semi-structured, and unstructured form • atsExperience supporting data mapping, transformation, and validation activities within data migration or integration conte • xtsProficiency in SQL, including experience with Azure SQL Database, Azure SQL Managed Instance, or similar relational platfo rmsNice To H • ave Experience with MS SQL Server, Azure Cosmos DB or other NoSQL database platforms supporting distributed or semi-structured data mo • delsKnowledge of Kusto Query Language (KQL) and experience with Azure Monitor and/or Azure Data Explorer for data analysis, logging, and performance insi • ghtsExperience designing and working with object storage patterns, including blob- and file-based data architect • uresExposure to data science or advanced analytics concepts, including familiarity with platforms such as Azure Machine Learning, Microsoft Fabric/Foundry, Databricks, or similar t • oolsUnderstanding of data governance practices, including data lineage, cataloging, and metadata management to support traceability and auditability of data as • setsExperience working with data lakes and/or data warehouse platforms (e.g., Azure Data Lake Storage, Microsoft Fabric, or similar technolog ies)