Senior System Analyst

Top Required Skills
Core Experience
Experience: Minimum of 7 years as a Systems Analyst supporting Data Analytics, Data Warehousing, and Data Science initiatives.
SQL Expertise: Minimum of 7 years of hands-on experience writing complex SQL queries for analytical and reporting workloads.
DataMart Design: Minimum of 3 years designing Data Marts with strong expertise in Dimensional Modeling (facts, dimensions, star/snowflake schemas).
Power BI: At least 3 years of experience designing and developing Power BI dashboards and reports.
New Data Platform implementation: Lead implementation of new data platforms and/or optimize existing data platforms

Communication & Execution
Excellent written and verbal communication skills, including the ability to document systems, data flows, and processes.
Skilled at developing impactful presentations and communicating effectively with stakeholders across all levels of the organization.
Ability to work independently and implement solutions with minimal guidance while managing complex, multi-project assignments.
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Additional DataOps & Modern Data Platform Requirements (NEW)
Proven ability to work closely with data platform engineering, data solution delivery, IT and business teams to evaluate, select, implement, and optimize modern data platforms.
Hands-on or strong functional experience supporting DataOps capabilities, but not limited to:
Data Engineering (ELT, ETL, real time streaming, virtualization)
Data Catalogs (metadata management, data discoverability, data lineage)
Data Observability and Data Quality monitoring
Data Platform optimization (performance, scalability, reliability, cost awareness)
Ability to translate business and operational requirements into data platform and process improvements.
Experience identifying and improving data engineering workflows, analytics lifecycle processes, and end-to-end data delivery using DataOps principles.
Strong understanding of how governance, observability, and automation enable trusted, production-grade analytics and AI solutions.

Soft Skills / Team Fit
Strong verbal and written communication skills.
Ability to lead, collaborate, and influence across cross-functional and multi-disciplinary teams.
Comfortable mentoring others and acting as a senior advisor on complex data and analytics initiatives.
Nice to Have Skills:
Power Apps experience.
Exposure to modern data platforms, cloud data warehouses, or data engineering ecosystems is a plus.

High Level Project Overview:
Why This Role Exists
We continue to modernize and scale its data ecosystem to enable trusted, high value AI, analytics and data science outcomes. This role exists to bridge business needs and technical execution, ensuring data platforms, DataOps capabilities, and analytics solutions are designed, optimized, and operationalized in a way that improves data reliability, accelerates insight delivery, and maximizes the value of enterprise data investments.

High-Level Project Responsibilities
The Senior Systems Analyst will:
Assist in the planning, design, and development of new data platforms, as well as enhancements to existing platforms.
Partner with business stakeholders, system owners, and end users to define business requirements, system objectives, and success criteria.
Operate independently on highly complex initiatives, providing senior-level analysis across all phases of the system lifecycle.
Work with technical teams to define system Product, architecture considerations, and data platform needs based on business outcomes.
Drive process optimization and standardization across analytics and data delivery workflows.
Collaborate across multiple business units and platforms on concurrent projects.
Guide and mentor less experienced Systems Analysts.
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Job Duties
Create systems models, specifications, diagrams, and documentation to guide technical implementation.
Coordinate and execute thorough testing, including end-user validation for new and enhanced systems.
Design and develop Power BI dashboards and reports.
Provide training and orientation.
Create and deliver clear, effective presentations for technical and non-technical audiences.
Document standards, procedures, and best practices across analytic and data platforms.
Develop test cases, validate results, and ensure production readiness.
Coach and transfer knowledge to team members with less experience.
Exercise independent judgment in planning, organizing, and executing work assignments.

Education:
Minimum of High School Diploma or Equivalency

Preferred Interview Process Overview (High level):
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