Sr Business Intelligence Analyst

CareTria,
Hybrid

About The Position

The Senior Business Intelligence Analyst combines strong technical and analytical expertise with a client-facing approach to reporting and analytics support. This role is responsible for developing reports and analysis, investigating, and resolving data quality and reporting issues, and delivering actionable insights that support operational and client objectives. Collaborating directly with clients and cross-functional internal teams, this position gathers reporting requirements, communicates project updates, resolves analytics-related concerns, and helps drive consistency and best practices in reporting and data governance. The ideal candidate excels at translating business needs into effective analytics solutions while maintaining a strong focus on accuracy, usability, and client service.

Requirements

  • Bachelor’s degree in Business Analytics, Computer Science, Statistics, Information Systems, or a related field
  • 5+ years of experience in business intelligence, reporting, analytics, or data analysis roles
  • Strong experience with SQL and business intelligence visualization tools such as DOMO, Tableau or Power BI.
  • Experience researching and resolving data quality, reporting logic, and system integration issues.
  • Experience working directly with clients or business stakeholders in a consultative or support-oriented capacity.
  • Strong ability to analyze complex data, identify trends, research data quality or reporting issues, and develop effective reporting solutions using SQL and BI visualization tools.
  • Ability to understand business objectives, ask thoughtful questions to clarify reporting and analytics needs, and recommend effective data-driven solutions.
  • Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences, manage client interactions professionally, and provide clear updates on analytics initiatives and issue resolution.
  • Detail oriented approach to validating data integrity, ensuring reporting consistency, and promoting best practices in reporting documentation and governance.
  • Ability to manage multiple priorities in a fast-paced environment while collaborating effectively across technical, operational, and client-facing teams.

Nice To Haves

  • Experience in healthcare, pharmacy, supply chain, or other regulated industries preferred.
  • Experience working with large datasets and multiple source systems.
  • Familiarity with ETL processes, data warehousing concepts, and data governance best practices.
  • Experience supporting external clients in a reporting or analytics environment.
  • Knowledge of Python or R for advanced analytics is a plus.

Responsibilities

  • Design, develop, and maintain reports, dashboards, and ad hoc analysis using tools such as DOMO, Tableau, Power BI, and SQL.
  • Analyze large and complex datasets to identify trends, insights, and business opportunities.
  • Research and resolve data quality issues, reporting discrepancies, and logic inconsistencies across reporting solutions.
  • Partner with internal teams to identify root causes of data issues and implement sustainable solutions.
  • Validate data accuracy and ensure consistency across systems, reports, and client deliverables.
  • Support ongoing enhancements to reporting processes, automation, and analytics capabilities.
  • Document report logic, business rules, and data definitions to support consistency and transparency.
  • Serve as primary analytics contact for assigned clients, providing consultative support and issue resolution.
  • Lead discussions with clients to gather reporting and analytics requirements and translate business needs into technical solutions.
  • Provide regular updates on reporting enhancements, issue resolution progress, and analytics initiatives.
  • Investigate and respond to client questions regarding reports, metrics, data discrepancies, and trends.
  • Build strong working relationships with clients and internal stakeholders to ensure high quality analytics support and service delivery.
  • Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
  • Collaborate cross-functionally with Operations, IT, Account Management, and Client Services teams to support client objectives.
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