Posted 1w ago

Senior Data Analyst

@ EASE Logistics
Dublin, Ohio, United States
HybridFull Time
Responsibilities:designing dashboards, writing queries, advising stakeholders
Requirements Summary:4+ years BI/data analytics experience; expert Power BI and DAX; strong T-SQL against Azure SQL; experience with messy multi-source operational data; Bachelor's preferred or 4+ years equivalent; Microsoft Fabric/Azure Synapse, Python/R, ADF, Azure DevOps/Git preferred.
Technical Tools Mentioned:Power BI, Power BI Premium, DAX, T-SQL, Azure SQL Database, Microsoft Fabric, Azure Synapse Analytics, OneLake, McLeod TMS, Azure Data Factory (ADF), Python, R, Azure DevOps, Git
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Job Description

ESSENTIAL DUTIES



Reporting & Dashboard Development




  • Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders.

  • Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS).

  • Analyze and tune underperforming reports and queries to improve load times and reliability.

  • Establish and document self-service BI standards and a shared metrics catalog.



Data & SQL




  • Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric.

  • Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting.

  • Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports.



Stakeholder Collaboration




  • Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products.

  • Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines.

  • Communicate findings clearly to non-technical audiences — written, visual, and verbal.

  • Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts.



Team & Process




  • Recommend and implement process improvements within the analytics function.

  • Uphold data governance, security, and confidentiality standards across all reporting environments.

  • Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling.