SW Engineer III - Data Analytics & Insights

• Design, develop, and maintain enterprise reporting and analytics solutions using Microsoft Power BI and Microsoft Fabric.
• Build scalable data models, semantic models, dashboards, and self-service reporting capabilities.
• Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets.
• Collaborate with engineering and business stakeholders to identify performance trends, operational opportunities, and actionable insights.
• Create data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives.
• Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems.
• Establish and maintain data quality standards, governance practices, and reporting best practices.
• Partner with leadership teams to define key performance indicators (KPIs) and operational metrics.
• Support root cause analysis activities by combining telemetry, operational, and business data sources.
• Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes.
• Document analytical solutions, data models, and reporting standards to support long-term maintainability.
• Mentor junior engineers and analysts while promoting best practices in data engineering and business intelligence.

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or a related discipline, or equivalent industry experience.
• 5+ years of experience in data analytics, business intelligence, software engineering, or a related technical field.
• Strong experience developing solutions using Microsoft Power BI, including DAX, Power Query, semantic models, and dashboard design.
• Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms.
• Advanced Python programming skills for data processing, automation, and analytics.
• Strong SQL development and database querying experience.
• Experience working with source control and collaborative development practices using GitHub.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Excellent communication skills and ability to present technical findings to both technical and non-technical audiences.
• Familiarity with Agile Framework and using Project Management tools such as Jira and Confluence

Preferred Qualifications

• Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies.
• Experience creating executive dashboards and operational reporting solutions.
• Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques.
• Experience working with large-scale telemetry, operational, or IoT datasets.
• Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions.
• Experience supporting engineering, operations, services, or product organizations through data-driven decision making.

What You’ll Bring

• A passion for using data to solve business problems.
• Strong attention to detail and commitment to data accuracy.
• The ability to balance technical depth with business value.
• A continuous improvement mindset focused on automation and operational excellence.
• A collaborative approach and desire to work across multiple teams and disciplines.

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe., You will have the opportunity to influence strategic decisions across Smart Services and broader NCR Atleos initiatives by delivering insights that improve customer experiences, operational efficiency, and business performance. This role offers significant exposure to engineering, product, operations, and executive leadership teams while working with modern analytics platforms including Microsoft Fabric, Power BI, Python, Azure, and GitHub.