Data Center Mechanical Data Analyst

About the role

The main function of this role is to analyze and interpret telemetry data, investigate incidents, and coordinate cross-team efforts to ensure accurate signal detection and operational excellence within a data center environment.

Responsibilities

• Review overnight incidents, alerts, and telemetry signals
• Identify anomalies, trends, or issues requiring deeper investigation
• Prioritize workload based on urgency and impact
• Investigate incidents and abnormal signals (validate data, confirm accuracy, determine next steps)
• Partner with engineering, operations, and SMEs to gather context and validate findings
• Participate in team syncs and provide status updates
• Provide clear, timely updates during investigations
• Summarize findings, risks, and recommended next steps
• Maintain strong communication with cross-functional teams and stakeholders
• Ensure accurate incident tagging, classification, and metadata updates
• Identify and escalate data quality or signal gaps
• Support improvements to monitoring and detection logic

Requirements / Ideal Candidate Profile

• 4+ years of relevant experience in data analysis, operations, or incident review
• Data center experience with a strong understanding of critical environments
• Background in Mechanical and/or Electrical systems, with:
• Mechanical experience strongly preferred over electrical if one must be prioritized
• Ability to interpret telemetry signals and support incident investigations in high-availability environments
• Comfort working in fast-paced, high-visibility environments with cross-functional teams

Qualifications

• Strong ability to analyze telemetry, identify trends, and interpret signals
• Working proficiency in Kusto (KQL)
• Experience building dashboards and interpreting data insights
• Familiarity with monitoring systems, telemetry pipelines, and alerting frameworks
• Strong analytical and problem-solving skills

Skills

• KQL querying for signal validation and telemetry analysis (preferred, not mandatory if strong in data analysis)
• Experience with Grafana and/or Power BI
• Python experience is a plus but not required

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We also offer an ESPP (employee stock purchase program), a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.

Pay

Compensation is commensurate with experience.

Schedule

Remote

Equal Opportunity Employer

We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.