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Data Analyst
STULZ USAData Analyst designing and maintaining data analytics solutions and Power Apps for decision-making across various sectors. Collaborating with stakeholders to transform complex data into user-friendly products.
Tech Stack
Tools & technologiesAmazon RedshiftAzureCloudMySQLPythonSQL
About the role
Key responsibilities & impact- Designs, develops, and maintains enterprise data analytics solutions, business intelligence dashboards, and Microsoft Power Platform applications that drive decision-making across manufacturing operations, engineering, finance, and executive leadership.
- Partners 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).
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLDAXPower QueryPythonData ModelingStored ProceduresDimensional StructuresSemantic Data ModelsComplex QueriesPerformance Tuning
Soft Skills
Strong Communication SkillsAnalytical ThinkingCollaboration
Certifications
PL-300PL-400DP-900DP-203