Data Analyst - Remote
Role details
Job location
Tech stack
Job description
Kforce has a client that is seeking a remote Data Analyst to join their team. Summary: The Data Analyst is responsible for interpreting and analyzing data from complex sources like ERP, HCM, and CRM to support data-driven decision making and ensure the accuracy, integrity, and usability of information within the organization's Data Lakehouse. This hands-on role focuses on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, testing support and data quality. Working closely with Business teams, Data Architects, and Engineers, the Data Analyst transforms business processes into well-structured, secure, and reliable data models and pipelines, enabling the Data Lakehouse to serve as a trusted foundation for analytics, reporting and AI products. Responsibilities:
- Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements
- Translate business needs into detailed functional and technical requirement documents
- Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic
- Create detailed Business Rules, Data Definitions, and Data Transformation documentation
- Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers
- Assist in data modeling and design aligned with Medallion architecture
- Conduct data profiling, validation, and reconciliation using Snowflake SQL
- Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables
- Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements
- Support UAT and resolve data-related gaps through iterative testing and validation
- Mentor and guide more junior team members
Requirements
- Bachelor of Science (BS) in Computer Science or Information Systems (or equivalent work experience)
- 7+ years of Data Analyst or Business Data Analyst experience in enterprise data environments
- Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics
Strong hands-on Snowflake experience is required, including:
- Ability to construct & optimize complex SQL queries
- Variant/JSON parsing
- Schema and stage understanding
- Performance analysis and troubleshooting
- Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers
- Proven experience with API-based data ingestion (REST APIs, JSON/XML)
- Ability to interpret API documentation and create field mappings for Snowflake ingestion
- Experience building Source-to-Target mapping documents and transformation rules
- Strong understanding of data lineage, metadata traceability, and impact analysis
- Experience writing BRDs, FRDs, mapping documents, and business rule specifications
- Effective communication skills with ability to work directly with business stakeholders
- Excellent analytical and problem-solving skills
Benefits & conditions
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.
