Senior Analyst, Business Data

NIGHTINGALE EDUCATION LLC SOLE MBSalt Lake City, UT
5dOnsite

About The Position

The Senior Business Data Analyst will serve as a strategic partner to business users, guiding them through the process of defining, understanding, and optimizing their data metrics. This role requires deep expertise in data management and strong business acumen to translate stakeholder requirements into actionable data strategies. The Senior Business Data Analyst will be responsible for aligning data strategies with business objectives, analyzing data workflows, and supporting the implementation of data solutions to drive operational and analytical excellence.

Requirements

  • 3-5 years of experience working in a data-centric role with a focus on defining and managing business metrics, data analysis, and stakeholder engagement.
  • Proficiency in SQL, Snowflake, Tableau, Power BI, or similar data analysis and visualization tools.

Nice To Haves

  • Advanced certifications in data analysis or data governance (e.g., CDMP, CBIP)
  • Knowledge of data governance platforms is desirable.

Responsibilities

  • Metric Definition and Alignment: Collaborate closely with business users to define key metrics, ensuring that data is aligned with business objectives and reflects operational goals
  • Data Quality Management: Monitor and manage data quality, implementing strategies to clean and maintain data integrity. Identify and resolve issues related to data accuracy, completeness, and timeliness
  • Data Analysis and Insights: Provide in-depth analysis of data, identifying trends, anomalies, and opportunities for improvement. Develop actionable insights based on metric performance to guide business decisions
  • Business Data Requirements: Translate business requirements into clear, actionable documentation, including business rules, metric definitions, data flows, and reporting specifications
  • Data Process Optimization: Analyze current data processes and workflows, identifying inefficiencies and opportunities for optimization to ensure better data utilization and stewardship
  • Data Governance and Standardization: Ensure adherence to data governance standards, promoting consistency in metric definitions and reporting across the organization
  • Documentation and Training: Maintain comprehensive documentation of data policies, workflows, and best practices. Provide training and support to business users on data collection, data processes and data visualization tools
  • Project Support: Lead and contribute to data-centric projects, ensuring that project timelines, goals, and budgets are adhered to
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