Senior Data Analyst
Ease Logistics
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Vacancy posted 5 days ago
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