[Remote] Data Center Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. TALENT Software Services is seeking an experienced Data Center Analytics Engineer to work remotely. The primary function of this role is to transform complex data into actionable insights that improve operational performance and business decision-making, while collaborating with various teams to ensure data quality and develop reporting tools.

Responsibilities

• Partner with engineering, operations, program management, and leadership teams to understand objectives, define data requirements, and develop reporting and analytics solutions that drive informed decision-making
• Analyze large and complex datasets to identify trends, anomalies, gaps, risks, and opportunities for operational improvement
• Perform data quality assessments, validation, and verification activities to ensure data accuracy, completeness, consistency, and integrity across multiple sources and systems
• Design, implement, automate, and maintain scalable data collection, transformation, and validation processes that reduce manual effort and improve reliability
• Develop and maintain dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide visibility into operational performance, telemetry health, program status, and business outcomes
• Create data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues
• Collaborate with technical teams to improve data models, metadata management, reporting structures, and overall data governance practices
• Translate complex technical findings into clear, actionable insights and recommendations tailored for both technical and executive audiences
• Drive continuous improvement through automation, standardization, and implementation of scalable reporting and analytics solutions
• Support root cause analysis and investigative efforts by leveraging data to identify underlying drivers of performance issues and operational risks
• Document processes, methodologies, reporting requirements, and data quality standards to ensure consistency and scalability

Skills

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
• 5–7 years applicable experience required
• Experience designing and implementing data quality validation, verification, and monitoring processes
• Strong troubleshooting, problem-solving, analytical thinking, and investigative skills
• Experience in business intelligence, reporting, data quality management, or related analytical disciplines
• Experience developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms
• Experience automating manual processes using scripting, workflow automation, or data integration technologies
• Solid written and verbal communication skills with the ability to communicate complex findings to diverse audiences
• Demonstrated success delivering scalable solutions that improve efficiency, data accuracy, and operational visibility
• Conducting data quality verification to ensure accuracy, completeness and consistency across multiple sources, especially for data center (or its equivalent) critical infrastructure health and performance data. (4+ yrs)
• Performing data analysis to identify trends, anomalies, gaps, and performance opportunities. (4+ yrs)
• Developing intuitive dashboards and reports that provide clear visibility into metrics, operational health, and program outcomes. (3+ yrs)
• Experience with telemetry, operational, engineering, IoT, industrial controls, or critical infrastructure data
• Experience implementing automated data validation and exception management processes
• Experience developing executive-level dashboards and KPI scorecards

Company Overview

Company H1B Sponsorship