Data Analyst

Responsibilities

• Design, develop, and maintain enterprise data analytics solutions, business intelligence dashboards, and Microsoft Power Platform applications that drive decision‑making across manufacturing operations, engineering, finance, and executive leadership.
• Partner with cross‑functional stakeholders to transform complex data into trusted, scalable, and user‑friendly products by performing the following duties.
• Build, deploy, and maintain custom business applications using Microsoft Power Apps (canvas and/or model‑driven) and automate workflows using Power Automate to streamline manufacturing and back‑office processes.
• Develop and maintain semantic data models, dimensional structures, and reusable reporting layers that serve as the trusted source of truth across the organization.
• Partner with Engineering, Operations, Finance, and Product stakeholders to gather requirements, define KPIs, and deliver multi‑workstream analytics solutions end to end.
• Write, optimize, and maintain complex SQL queries, stored procedures, and data extracts against enterprise data warehouses and cloud platforms (e.g., Snowflake, Azure SQL, Redshift, MySQL).

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field;
  Master’s degree preferred.
• 3-5 years of progressive experience in data analytics, business intelligence, analytics engineering, or a closely related field.
• Advanced proficiency in SQL (complex queries, joins, performance tuning, stored procedures) and demonstrated experience with Power BI (DAX, Power Query, semantic modeling, dashboard architecture).
• Hands‑on experience with Python for data analysis, scripting, or automation; experience designing and maintaining dimensional data models and semantic layers.
• Experience building applications with Microsoft Power Apps and automating workflows with Power Automate is strongly preferred; familiarity with Dataverse, SharePoint, or Microsoft 365 data sources is a plus.
• Manufacturing, supply chain, or operations industry experience is a plus.
• Microsoft certifications such as PL‑300 (Power BI Data Analyst), PL‑400 (Power Platform Developer), or DP‑900/DP‑203 are preferred but not required.
• Ability to read, write, and communicate fluently in English; strong written and verbal communication skills for translating technical concepts for non‑technical stakeholders.
• Strong quantitative and analytical skills; ability to apply concepts of basic statistics, percentages, ratios, and proportions to practical business situations and to validate data accuracy across reporting solutions.