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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Ease Inc - **Location:** Dublin, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Information Systems, Data Governance, Database Queries, Python (Programming Language), SQL Azure, Operational Data Store, Scrum Methodology, Query Optimization, Power BI, Standard Sql, Transact-SQL, Cloud Platform System, Delivery Pipeline, Data Strategy, Git, Microsoft Fabric, Information Technology, Data Analytics, Azure Synapse Analytics, Software Version Control - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=048d0ab5680f684f ## About the Role Do you have experience in T-SQL?, Do you have a Bachelor's degree in statistics?, * Bachelor's degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems). * Equivalent professional experience (4+ years) accepted in lieu of degree. * Transportation or logistics industry background is a strong plus. Experience * Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role. * Required- Expert-level Power BI - semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines. * Required- Strong T-SQL - complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database. * Required - Proven ability to work with messy, multi-source operational data - not just clean, pre-modeled datasets. * Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform. * Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing). * Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry. Knowledge, Skills, & Abilities * Ability to communicate complex data findings to non-technical stakeholders clearly and confidently. * Ability to adapt and work in a fast-paced, operations-heavy environment. * Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements. * Experience with ADF or analytics engineering practices for building and testing data models preferred. * Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred. ## Description * 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. ## Related Videos - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Hacking MSSQL on Cloud. All of them. How I became sysadmin on Azure, AWS, GCP and Alibaba.](https://www.wearedevelopers.com/videos/100339-hacking-mssql-on-cloud-all-of-them-how-i-became-sysadmin-on-azure-aws-gcp-and-alibaba) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Automated MS SQL Server database deployments with dacpacs and Azure DevOps](https://www.wearedevelopers.com/videos/334-automated-ms-sql-server-database-deployments-with-dacpacs-and-azure-devops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)