Mid-Level Data Analyst

Responsibilities

Kforce has a client that is seeking a Mid-Level Data Analyst in Tempe, AZ.Key Responsibilities:

• Perform detailed data analysis on source system data to identify anomalies, inconsistencies, and data quality issues
• Support data analysis, profiling, and transformation activities across legacy and target systems, including movement between relational, NoSQL, and object storage environments
• Develop and maintain two-way data mappings (source-to-target and target-to-source) to ensure completeness, traceability, and alignment with business requirements
• Maintain a strong understanding of target data models, database structures, and data usage patterns to support accurate transformation and validation
• Contribute to the architecture and management of data lake and data warehouse solutions, ensuring data is structured, performant, and accessible for downstream consumption
• Collaborate with Business Analysts, Technical Architects, and development teams to translate business rules into data mappings and transformation logic
• Identify data quality issues, anomalies, and gaps; Support data cleansing decisions; And ensure alignment with approved data mapping and transformation rules
• Perform and support data validation and reconciliation activities to confirm data accuracy, completeness, and usability across all pipeline and migration processes
• Document data flows, schemas, mappings, and transformation logic to support traceability, auditability, and governance requirements
• Contribute to the continuous improvement of data platform architecture, tooling, and data migration strategies in alignment with organizational standards and best practices

Skills

• 3+ years of experience in data analysis, development, or a related role supporting data integration or migration initiatives
• Experience supporting data mapping, transformation, and validation activities within data migration or integration contexts
• Solid understanding of database design principles, including relational modeling, normalization, and denormalization strategies
• Proficiency in SQL, including experience with Azure SQL Database, Azure SQL Managed Instance, or similar relational platforms
• Demonstrated ability to move and transform data across structured, semi-structured, and unstructured formats

Nice to Have:

• Experience with MS SQL Server, Azure Cosmos DB or other NoSQL database platforms supporting distributed or semi-structured data models
• Knowledge of Kusto Query Language (KQL) and experience with Azure Monitor and/or Azure Data Explorer for data analysis, logging, and performance insights
• Experience designing and working with object storage patterns, including blob- and file-based data architectures
• Experience working with data lakes and/or data warehouse platforms (e.g., Azure Data Lake Storage, Microsoft Fabric, or similar technologies)
• Exposure to data science or advanced analytics concepts, including familiarity with platforms such as Azure Machine Learning, Microsoft Fabric/Foundry, Databricks, or similar tools
• Understanding of data governance practices, including data lineage, cataloging, and metadata management to support traceability and auditability of data assets

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.


We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.


Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.


This job is not eligible for bonuses, incentives or commissions.


Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.


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