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Tier 3 Technical Analyst
CENTEGIXTier 3 Technical Analyst focusing on analyzing telemetry data and improving device reliability at CENTEGIX. Collaborating with Operations, Product Management, and Engineering teams for enhanced customer experience.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data analysisdata engineeringQA testingdata visualizationinterpreting complex data structureslog file analysis
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinking
Tools & Technologies
DomoTableauPower BIAWSGoogle CloudSnowflake
Certifications & Qualifications
Bachelor’s degree in Computer ScienceBachelor’s degree in IT
Industry Keywords
CPE hardwarefirmwaredevice telemetryperformance trendssystem anomalies
Tech Stack
Tools & technologiesAWSCloudTableau
About the role
Key responsibilities & impact- Analyze large datasets of device telemetry, metrics, and error logs to identify performance trends and system anomalies
- Collaborate with Product Management to extract, define, and document clear technical and functional specifications for new firmware
- Collaborate with Product Management to define and execute test cases to measure hardware and firmware efficiency under various network conditions
- Assist Tier 3 Engineers investigating complex technical escalations from customer support to isolate firmware bugs, hardware defects, or environmental interference
- Use data from devices to identify occurrences rates and patterns
- Translate raw data from device and system logs into real real business needs by creating dashboards and technical reports for Product Management and Engineering teams to drive data-backed product decisions
- Partner with Engineering, Developers, Product Managers, and Quality Assurance teams to validate device performance after software and hardware rollouts
- Collaborate with customers as needed to test in real world environments to replicate issues for data collection and/or validate proposed fixes are successful
Requirements
What you’ll need- Bachelor’s degree in Computer Science, IT, or equivalent experience
- 2–4 years of experience in data analysis, data engineering, or QA testing, specifically working with CPE hardware
- Proven ability to not just report what the data says, but explain what the data means for the company’s bottom line and customer experience
- Proficiency in data visualization tools like Domo, Tableau or Power BI
- Strong ability to interpret complex data structures and log files
- Familiarity with cloud platforms (AWS, Google Cloud) and big data technologies (Snowflake)
Benefits
Comp & perks- Remote first work environment; we offer workplace flexibility
- Fifteen days of PTO plus twelve company holidays
- Three days of paid Sick Leave and one floating holiday
- Monthly device(s) reimbursement
- Up to $2500/year reimbursement for eligible education expenses
- We offer a range of Healthcare plans to meet your needs (medical, dental, vision)
- 401(k) Plan with 4% employer contribution to help you plan for the future
- Employee Referral Bonus
- Charitable Program Match