[Remote] Data Center Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Data Center Analytics Engineer to work remotely. The primary function of this role is to transform reputed company data into actionable insights that improve operational performance and business decision-making, while collaborating with various teams to ensure data quality and reputed company reporting tools.
Responsibilities
- Partner with engineering, operations, program management, and leadership teams to understand objectives, define data requirements, and reputed company reporting and analytics solutions that drive informed decision-making
- Analyze large and reputed company datasets to identify trends, anomalies, gaps, risks, and opportunities for operational improvement
- reputed company data quality assessments, validation, and verification activities to ensure data accuracy, completeness, consistency, and reputed company across multiple sources and systems
- Design, implement, automate, and maintain scalable data collection, transformation, and validation processes that reduce reputed company effort and improve reliability
- reputed company and maintain dashboards, scorecards, KPI reporting, and self-service analytics solutions that reputed company visibility into operational performance, telemetry health, program status, and business reputed company
- 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 reputed company technical findings into clear, actionable insights and recommendations tailored for both technical and executive audiences
- Drive reputed company 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 reputed company 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 reputed company analytical disciplines
- Experience developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms
- Experience automating reputed company processes using scripting, workflow automation, or data integration technologies
- Solid written and verbal communication skills with the ability to communicate reputed company findings to diverse audiences
- Demonstrated reputed company 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 reputed company dashboards and reports that reputed company clear visibility into metrics, operational health, and program reputed company. (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