Data Analyst

ABCS, Inc. IT Executive and Contingent Workforce Staffing; Arkansas; On-site; USD 55,000 - 69,000; Full time

Job summary

ABCS, Inc. IT Executive and Contingent Workforce Staffing seeks a Senior Data Analyst with deep Snowflake and healthcare data expertise. The role covers data architecture, governance, quality, and advanced analytics to prepare enterprise data assets for AI use cases.

The candidate will design data solutions, develop complex SQL, and support enterprise data readiness for AI initiatives. Fully remote contract assignment with competitive market-rate compensation.

Qualifications

• 7+ years with databases, 3+ years Snowflake.
• Understanding of in-house data model.
• Data warehouse architecture and Star/Snowflake schemas.

Skills

Snowflake

SQL development

Data architecture

Data governance

Data quality

Advanced analytics

AI readiness

Tools

Stored Procedures

Dynamic SQL

MDM

Data profiling tools

Job description

Title: Senior Data Analyst – Snowflake & Healthcare Data

Duration: 18-month contract

Location: Fully Remote

Rate: $45/hr on W2 (All-inclusive / no benefits)

Job Description:

Senior Data Analyst – Snowflake & Healthcare Data

Position Summary

Seeking a Senior Data Analyst with deep expertise in Snowflake, healthcare data domains, data architecture, data quality, and advanced analytics. The ideal candidate will have extensive experience designing data solutions, developing complex SQL, and preparing enterprise data assets for AI and advanced analytics use cases.

Core Technical Skills

Snowflake (Senior Level)

• 7+ years with databases, 3+ years Snowflake
• Understanding of in-house data model
• Dynamic Tables
• Materialized Views
• Role-Based Access Control (RBAC)
• Data Governance and Security

Advanced SQL Development

• Expert-level SQL writing
• Complex joins and subqueries
• Dynamic SQL
• Stored Procedures
• Data profiling and anomaly detection
• Data warehouse architecture
• Dimensional modeling
• Star and Snowflake schemas
• Source-to-target mapping
• Metadata management
• Master Data Management (MDM)
• Data integration patterns

Artificial Intelligence & Data Readiness