Data Center Analytics Engineer

Are you an experienced Data Center Analytics Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Center Analytics Engineer to work remotely at their company.

Summary:

The primary function of this role is to transform complex data into trusted, actionable insights that improve operational performance and business decision-making. The individual will be responsible for analyzing critical environment and operational datasets, validating data quality and accuracy, automating manual processes, implementing scalable data solutions, and developing dashboards and reporting tools that provide visibility into key technical and business outcomes.

This role bridges the gap between data, operations, and business stakeholders by ensuring data is reliable, meaningful, and accessible. The ideal candidate combines strong analytical capabilities with a passion for data quality, process automation, and business intelligence.

Job 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Best vs. Average: The ideal resume would contain Data Center and power distribution for Data Centers, telemitry and ability to spot irregularities and analyze data a problem solving, dashboard exp with power BI

Explain a typical day in the role:

A typical day in this role involves analyzing and transforming critical environment (CE) data into actionable insights that support operational excellence, reliability, and strategic decision-making. The individual will work closely with engineering, operations, telemetry, and program management teams to collect, validate, and assess data related to power, cooling, water, environmental systems, and other critical infrastructure.

What is the ideal background of a candidate for this role?: This position is ideal for a candidate who enjoys working with large datasets, solving data quality challenges, building impactful dashboards, and driving data-informed decisions in a fast-paced, mission-critical data center environment.

What are unique selling points that would get candidates interested in your role over another?:

• The strongest attraction is typically the opportunity to have a direct impact on the reliability, sustainability, and operational performance of some of the world's largest data center environments.
• This role offers a unique combination of data analytics, engineering insight, and business impact. Unlike traditional reporting or BI positions, the work directly influences how critical data center infrastructure is monitored, understood, and optimized. The individual will help ensure that the data used to drive operational decisions is accurate, trustworthy, and actionable.

Candidates are often attracted to this opportunity because they can:

• Make a measurable impact by improving the quality and visibility of critical environment data that supports operational excellence, reliability, and sustainability goals.
• Work with large-scale, real-world systems, including telemetry from power, cooling, water, and environmental infrastructure across a global data center portfolio.
• Own the end-to-end analytics—from data validation and quality assurance to trend analysis, and executive dashboard creation.
• Partner with cross-functional teams including engineers, operations, program managers, and data professionals to solve complex business challenges.
• Influence decision-making by transforming data into insights that drive strategic investments, operational improvements, and risk mitigation.
• Develop highly marketable skills in data analytics, dashboard development, business intelligence, and critical infrastructure operations.

How will contractor performance be measured?:

Performance would be measured on both business outcomes and execution excellence.

1. Data Quality & Accuracy: Measures the candidate's ability to ensure stakeholders can trust the data.
2. Analytics & Insight Generation: Measures the value of the analysis, not just the volume.
3. Dashboard Effectiveness: Measures whether dashboards are usable and add value.
4. Operational Excellence: Measures execution and delivery.
5. Stakeholder Partnership and Satisfaction: Measures collaboration and influence.

An exceptional candidate would go beyond analysis and creating reports/dashboards. They would:

• Proactively identify gaps and risks before stakeholders notice them.
• Improve the quality and reliability of telemetry data.
• Automate manual validation and reporting activities.
• Influence operational and engineering decisions through data-driven insights.
• Create scalable analytics solutions that support broader business objectives.
• Become a trusted advisor on critical environment telemetry and performance.

Top 3 Must-Have HARD Skills & years of experience for each:

• 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)