Senior Human Capital Systems Analyst

Description

osition Summary

The Senior Systems Analyst serves as a technical and functional leader responsible for analyzing, designing, implementing, and supporting enterprise information systems, data analytics solutions, and business process improvements. This position provides analytical and consultative services throughout all phases of program execution, including requirements analysis, software design, system integration, testing, implementation, and operational support. The incumbent works closely with stakeholders, project teams, and technical staff to deliver scalable, data-driven solutions that support organizational objectives and enhance business performance.

The ideal candidate possesses extensive experience supporting Human Resources Information Systems (HRIS), enterprise data warehouse environments, reporting and analytics platforms, and complex system integrations.

Core Responsibilities

Business and Systems Analysis

* Lead business requirements analysis, software design, system and performance testing, implementation, and post-deployment support across all phases of program execution.

* Analyze business processes, user needs, and operational requirements to define functional and technical specifications for complex enterprise systems.

* Conduct functional decomposition to identify tasks, interdependencies, resource requirements, and system integration needs.

* Facilitate and supervise requirements-gathering sessions, stakeholder interviews, workshops, and reviews to ensure alignment between business objectives and technical solutions.

* Develop and maintain business, system, interface, and integration requirements documentation.

Technical Leadership and Solution Development

* Plan, direct, and coordinate activities related to electronic data processing, information systems, systems analysis, software development, and automation initiatives.

* Design and recommend solutions that support enterprise business functions, improve operational efficiency, and strengthen decision-making capabilities.

* Evaluate alternative approaches and provide actionable recommendations based on technical feasibility, business value, cost, and risk.

* Apply expertise in systems architecture, data integration, software development methodologies, lifecycle management, networking, telecommunications, and risk management principles.

Data Analytics and Enterprise Systems Support

* Support and analyze Human Resources Information Systems (HRIS), data warehouse environments, reporting platforms, and analytics solutions.

* Develop, validate, and optimize SQL queries, reports, and data extracts to support business operations and reporting requirements.

* Design and maintain data models, data integration processes, and data validation procedures to ensure accuracy, consistency, and reliability.

* Develop and support dashboards, scorecards, and reporting solutions using Power BI, Tableau, or equivalent business intelligence tools.

* Collaborate with technical teams to integrate enterprise applications, including HRIS, payroll systems, data warehouses, customer relationship management (CRM) systems, and other enterprise platforms.

* Ensure adherence to data governance standards, reporting best practices, and information management policies.

Risk Management and Project Support

* Identify, assess, communicate, and mitigate project risks and issues that may impact scope, schedule, cost, or performance.

* Monitor system performance and recommend improvements to optimize reliability, scalability, and operational efficiency.

* Support project planning, resource management, and implementation activities to ensure successful delivery of program objectives.

* Review and evaluate program resources, including schedules, budgets, staffing requirements, and technical dependencies.

Requirements

Minimum Experience

* Ten (10) or more years of experience in data analytics, information systems, automation, systems analysis, software development, or a related field.

* Equivalent combinations of education, certifications, and relevant experience may be considered.

Minimum Education

* Bachelor's degree in Computer Science, Information Systems, Data Analytics,…