Data Analyst – Power Platform

About Us:

Innover is an award-winning AI-first engineering firm, transforming businesses through Experience Engineering, Digital Engineering, and Process Engineering. Our interconnected competencies seamlessly deliver comprehensive industry solutions—Experience Engineering shapes visionary strategies, Digital Engineering brings them to life, and Process Engineering ensures flawless execution. With deep technical expertise and business acumen, we've empowered over 65 Fortune 1000 companies to accelerate growth and transformation.

Leading analysts consistently recognize our capabilities across Data and Analytics, Artificial Intelligence, and Intelligent Process Automation, solidifying our position as a trusted partner in driving innovation and success.

Headquartered in Alpharetta, Georgia, Innover operates global delivery centers in India, Mexico and an advanced Center of Excellence dedicated to driving innovation and measurable impact. Our industry footprint spans Digital Supply Chains, Manufacturing and Logistics, Telecom, Technology and Media, Consumer and Retail, Energy and Utilities, Banking and Financial Services, Tax Technology, and more.

We've earned prestigious accolades, including the Supply Chain Brain Award and the Top Supply Chain Project Award for four consecutive years, the Top Software and Tech Award, and recognition for Digital Transformation Excellence. Our vibrant culture of growth and camaraderie has been celebrated with the Best Workplace Award and the Happiest Workplace Award, reinforcing our commitment to fostering excellence both within and beyond our organization.

We are looking for an experienced Data Analyst – Power Platform professional to design, build, and maintain scalable data models, analytics solutions, and Power Platform applications. The role requires strong expertise in data integration, analytics, and Power Apps development, along with the ability to translate complex data into meaningful business insights.

You will work closely with cross-functional stakeholders to deliver reliable, high-quality data solutions that support decision-making and improve operational performance.

Primary Responsibilities

• Design, develop, and test data models to import and transform data from multiple source systems based on project requirements.
• Analyze heterogeneous source data and write SQL and PySpark scripts to integrate data across platforms.
• Perform statistical analysis and interpret results to generate actionable business insights.
• Develop and customize Power Apps (Canvas and Model-driven), including plugin creation, page development, and Web API integration.
• Create and manage data flows, cloud flows, and Dataverse integrations.
• Build, publish, and maintain Power BI reports and dashboards aligned with business needs.
• Migrate data into standardized platforms and design critical data models to improve process efficiency and product quality.
• Own technical implementation, documentation, and data governance related to datasets and applications.
• Track project progress, provide regular status updates, conduct root cause analysis, and implement continuous improvements.
• Deliver post-implementation support to ensure long-term stability and value realization.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, and timeliness.
• Mentor and guide junior team members and peers.

Mandatory Skills & Experience

• 5+ years of relevant experience in data analytics and application development.
• Strong expertise in Microsoft Power Platform, including:
• Canvas and Model-driven Power Apps
• Plugin development
• Page customization
• Web API creation
• Data flows and cloud flows
• Dataverse configuration and management
• Proficiency in JavaScript and Power Fx for advanced customizations.
• Hands-on experience in Power BI for reports and dashboard development.
• Solid understanding of database technologies, including:
• SQL Server
• SAP HANA
• Azure Synapse Analytics

Good-to-Have Skills

• Knowledge of SAP systems, including ECC T-Codes and navigation.
• Experience working in Agile/SCRUM environments.
• Understanding of enterprise server architecture and cloud platforms.
• Domain experience in manufacturing, supply chain, or inventory management.