Senior Enterprise Data Operations & Business Systems Analyst

New York Racing AssociationCity of Saratoga Springs, NY
$91,913 - $131,579Hybrid

About The Position

The Senior Enterprise Data Operations & Business Systems Analyst serves as a strategic liaison between business stakeholders and the Data & Development organization. The role is responsible for improving the quality, accessibility, governance, and usability of enterprise data while supporting reporting, analytics, and business systems across all departments. This position partners with Racing Operations, Marketing, Finance, Human Resources, Technology, Customer Experience, Facilities, Security, and other business functions to ensure data-driven decision making and operational excellence. The ideal candidate combines strong business acumen with analytical and technical expertise, including SQL, Python, Databricks, and business intelligence reporting tools. This individual will play a critical role in identifying, troubleshooting, validating, and improving data across financial, marketing, operational, and other enterprise systems while supporting the continued growth of our Databricks and Power BI analytics platform.

Requirements

  • Bachelor's degree in Information Systems, Business Analytics, Computer Science, Data Analytics, MIS, or related field.
  • 5+ years of experience in Business Analysis, Business Systems Analysis, Data Analytics, or related disciplines.
  • Experience gathering business requirements and delivering reporting or analytical solutions.
  • Experience supporting enterprise business systems and cross-functional stakeholders.
  • Advanced SQL for analysis, validation, reconciliation, and troubleshooting.
  • Python for automation, analytics, and data quality processes.
  • Experience with Databricks and modern cloud data environments.
  • Experience with Power BI, Tableau, or similar BI platforms.
  • Understanding of data warehousing, ETL/ELT, data modeling, and data governance.

Nice To Haves

  • Experience with SAP S/4HANA or other ERP platforms.
  • Experience supporting analytics modernization or cloud transformation initiatives.
  • Familiarity with Databricks SQL, Delta Lake, and PySpark.
  • Experience with Power BI semantic models, DAX, and Power Query.
  • Exposure to master data management and enterprise data governance.

Responsibilities

  • Serve as the primary business analyst for enterprise data and reporting initiatives.
  • Gather, document, prioritize, and translate business requirements into technical solutions.
  • Analyze business processes and data flows to identify improvement opportunities.
  • Support enterprise applications, system integrations, and reporting platforms.
  • Maintain documentation including business rules, data definitions, and process flows.
  • Support migration of enterprise reporting and analytics solutions into Databricks and Power BI.
  • Identify opportunities to automate and standardize reporting and data operations.
  • Collaborate with Data Engineering to develop datasets, metrics, and analytics solutions.
  • Validate data pipelines and transformed datasets against business requirements.
  • Develop KPI frameworks and reporting standards.
  • Partner with leaders across all business functions to understand operational needs.
  • Work with vendors and support partners to resolve system and data issues.
  • Present recommendations and insights to leadership and executives.
  • Facilitate communication between business and technical teams.
  • Design and maintain Power BI, Tableau, and enterprise reporting solutions.
  • Develop executive dashboards and operational reporting.
  • Support data modeling, KPI development, and visualization standards.
  • Monitor reporting adoption and continuously improve analytics products.
  • Develop and execute data quality validation processes.
  • Investigate and resolve data inconsistencies and reporting discrepancies.
  • Maintain business glossaries, data dictionaries, and metric definitions.
  • Support data governance, stewardship, and master data management initiatives.

Benefits

  • Accuracy, consistency, and reliability of enterprise data assets.
  • Increased adoption of analytics and reporting solutions.
  • Reduction of manual reporting and data preparation activities.
  • Improved stakeholder satisfaction and cross-functional collaboration.
  • Successful delivery of scalable enterprise analytics solutions.
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