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We are looking for a Data Analyst to join a machinery manufacturing organization in San Antonio, Texas, and turn complex business data into practical insights that support company-wide decision-making. This role will focus on building reliable business intelligence solutions, strengthening data governance standards, and partnering with teams across the business to improve reporting capabilities. The ideal candidate brings strong technical depth in modern Microsoft data platforms, a thoughtful approach to data quality, and the ability to translate operational needs into scalable analytics solutions.
Job Responsibility:
Partner with business intelligence colleagues to shape and deliver analytics initiatives that support organizational objectives
Build, enhance, and optimize Power BI semantic models, dashboards, and reporting assets for accuracy, usability, and performance
Establish and reinforce standards for data governance, access control, compliance, and stewardship across reporting environments
Advance DevOps and CI/CD methods to improve the consistency and efficiency of Power BI development and deployment processes
Maintain strong data quality practices by tracking lineage, improving documentation, and validating key data assets
Contribute to data integration and transformation efforts involving both established platforms and newer cloud-based environments
Meet with stakeholders across departments to gather reporting needs and convert them into scalable business intelligence solutions
Offer technical guidance to teammates and collaborate across functions to support enterprise reporting goals
Assist with planning activities tied to business intelligence and broader data strategy initiatives
Provide after-hours assistance when needed and support additional priority projects as assigned
Requirements:
Bachelor's degree in Business, Computer Science, or a related field
At least 3 years of experience working with advanced data modeling and business intelligence tools, including Power BI
Hands-on expertise with Azure Synapse Analytics, Microsoft Fabric, and Power BI semantic model development
Strong technical skills in T-SQL, Python, ETL processes, and dashboard creation for business reporting
Familiarity with Delta Lake, Parquet, data lakes, and lakehouse-style data architecture
Ability to communicate effectively with both technical and non-technical teams across operations, engineering, sales, and accounting
Proven ability to manage multiple priorities, investigate data issues independently, and deliver accurate work under deadlines