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STULZ USA

Data Analyst

STULZ USA

Data 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.

Posted 6/30/2026full-timeFrederick • Maryland • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing enterprise data analytics solutions, utilizing Microsoft Power Platform applications, and optimizing SQL for data management. Proficient in collaborating with cross-functional teams to deliver scalable analytics solutions that drive decision-making across various business functions.

Highest-signal resume keywords
Advanced SQL ProficiencyMicrosoft Power BI ExpertiseMicrosoft Power Apps DevelopmentData Analytics ExperienceQuantitative and Analytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLDAXPower QueryPythonData ModelingStored ProceduresDimensional StructuresSemantic Data ModelsComplex QueriesPerformance Tuning
Soft Skills
Strong Communication SkillsAnalytical ThinkingCollaboration
Tools & Technologies
Microsoft Power PlatformPower AutomateSnowflakeAzure SQLRedshiftMySQLDataverseSharePointMicrosoft 365
Certifications & Qualifications
PL-300PL-400DP-900DP-203
Industry Keywords
Data AnalyticsBusiness IntelligenceManufacturingSupply ChainOperations

Tech Stack

Tools & technologies
Amazon 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