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INSPYR Solutions · 18 hours ago

Application Systems Analyst

Las Vegas, NV

Full-time

Onsite

Senior Level

$60/hr - $63/hr

5+ years exp

INSPYR Solutions is a national expert in delivering flexible technology and talent solutions. The Application Systems Analyst will serve as the primary technical resource between the business and execution teams, responsible for translating high-level data strategies into tactical technical requirements and overseeing data integration and governance processes.

Information TechnologyProfessional ServicesStaffing Agency

No H1B

Responsibilities

Data Engineering Integration & Pipeline Oversight

Medallion Architecture Implementation: Involved in the tactical execution of the Medallion data design (Bronze/Silver/Gold) to modernize the organization’s data lakehouse environment

ETL/ELT Logic Design: Architect and manage complex Extract, Transform, Load (ETL) specifications and transformational logic to automate multi-directional data flows

Persistent Staging & Data Lifecycle: Oversee the technical requirements for staging and landing zones to ensure high-availability and historical data integrity for downstream consumption

Technical Scalability & Performance Tuning: Optimize data system performance by identifying bottlenecks in data processing and ensuring the technical framework supports high-volume, diverse data sets while adhering to security protocols

Technical Data Governance & Mapping

This role focuses on executing source-to-target mappings and defining the logic needed for data transformations, including type conversions and business rules. You will be responsible for setting up automated quality checks to ensure all ingested data is accurate and auditable. A key part of the position involves integrating data privacy and regulatory standards into the system design while using Master Data Management (MDM) and data cataloging tools to document technical metadata and maintain clear data lineage from start to finish

Reporting & Advanced Analytics Enablement

Technical Requirements Engineering: Bridge the gap between business ambiguity and technical execution by converting stakeholder needs into detailed Functional Specification Documents (FSD) and Technical Design Documents (TDD)

BI Stack Optimization: Manage and optimize the semantic layers of reporting tools (Power BI and Business Objects) to ensure performant data modeling and self-service scalability

AI Analytics Readiness: Architect the data environment for AI/ML consumption by ensuring "clean-room" data availability, feature set readiness, and robust dashboarding

SQL Querying: Execute SQL scripting to validate data sets and perform root-cause analysis on data discrepancies

Technical Oversight

Data Flow & Pipeline Optimization: Analyze existing data pipelines to identify opportunities for latency reduction and systemic throughput efficiency

Technical Liaison: Act as the technical point of contact for data projects, synchronizing efforts between Business Process Analysts, Data Engineers, and DevOps teams