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DATA ANALYST

Sierra Nevada Brewing Co.
Mansfield
3 days ago
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Get to Know UsKen Grossman started Sierra Nevada in 1980 with a hand-built brewhouse and the odds stacked against him. That passion forever changed the course of American craft brewing and launched a beer revolution that's in full force today. Turns out, good beer can do a lot of good, and Sierra Nevada became a cornerstone for both its innovation and its care for the Earth and its people. We’re committed to advancing a culture of inclusion and believe diversity in all its forms makes us stronger. We keep pushing boundaries, whether that’s in the brewhouse, with sustainability, or in the great outdoors.Get to Know This RoleThe Data Analyst will play a key role in advancing data literacy and business intelligence capabilities across the brewery. This role supports the Data Science Supervisor integrating analytics code to Databricks and Spark, developing scalable workflows, and managing Power BI Fabric workspaces. The analyst collaborates closely with report creators and functional teams to ensure data consistency, improve report performance, and promote best practices in visualization and dashboard development. The Power BI Analyst also helps train team members and supports cross-functional data initiatives to drive informed decision-making in brewing, packaging, sales, and operations.What's In It For YouWe’re committed to our employees and work hard to prove it. For starters, we’re offering $79,113 to $122,229 base compensation for this role. Individual offers are based on skills, experience, and qualifications. This role may be eligible for our bonus program – inquire with our Talent Acquisition Partner for additional details.

But base pay is just the beginning. We support your future by offering a generous 10% company match on 401(k) contributions, providing learning and development opportunities, and fostering your safety at work with ongoing trainings, state-of-the-art equipment, and preventative care. We offer medical, dental, and vision insurance, an onsite medical clinic, as well as mental health and well-being benefits including paid sick leave. We foster a culture of work-life balance and always encourage employees to use and enjoy their paid time off.What You Will Do

Support Data Infrastructure and Analytics DevelopmentAssist in migrating legacy analytics and reporting code into Databricks notebooks using SparkSupport management and organization of Power BI Fabric workspaces, datasets, and dataflowsWrite, optimize, and document SQL queries for use in reporting and analysisCollaborate with the Data Scientist to support scalable data transformations and pipelines Report Optimization and GovernanceReview and enhance existing Power BI reports for performance, usability, and standardizationEnsure data models follow the best practices for usability and refresh efficiencyHelp define and maintain shared datasets and measure definitions across teamsSupport report lifecycle management and change control within Power BI Data Quality and IntegrityIdentify data issues and work with data owners to resolve inconsistencies or gapsConduct QA checks on new and existing reports and dashboardsMonitor refreshes, access, and performance of Power BI workspaces Training and CollaborationPartners with functional teams (e.g., brewing, sales, packaging) to understand reporting needs and propose solutionsTrain business users on Power BI functionality, including data modeling, visuals, and best practicesProvide documentation, templates, and how-to materials to empower self-service reporting
 
 

Please Apply if You HaveBachelor's Degree Data Analytics, Information Systems, Computer Science, Business, or any combination of education and/or experience from which comparable knowledge, skills, and abilities have been achieved required and4 years in a data analyst role, preferably in a manufacturing or operations-focused environment required and4 years Experience with SQL and Power BI required and1 year Snowflake and Nielsen data requiredUnderstanding of time-series data, production KPIs, and supply chain metricsUnderstanding of ETL/ELT workflows and data quality managementFamiliarity with AI/ML tools and Large Language Models (LLMs), particularly for data insight generation, natural language querying, or automated report development.Strong communication and problem-solving abilitiesCollaborative mindset with a willingness to learn and teachComfortable working with cross-functional teams in a fast-paced, iterative environment.

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