

Prospance Inc
QA Data Analyst & Telemetry Specialist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a QA Data Analyst & Telemetry Specialist, contracted for an unspecified length, located in Mountainview, CA, with a pay rate of "unknown." Requires 7+ years of experience, proficiency in SQL, Python, R, and log analysis tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
October 4, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Mountain View, CA
-
π§ - Skills detailed
#Automation #Python #Leadership #Mathematics #R #Visualization #SQL (Structured Query Language) #Computer Science #Observability #Looker #Splunk #Data Analysis #Monitoring #Statistics #Elasticsearch #Datadog #Tableau #Microsoft Power BI #Regression #Data Science #Grafana #BI (Business Intelligence)
Role description
Job Title: QA Data Analyst & Telemetry Specialist (Contractor)
Location: Mountainview, CA
Company: Leading technology companies
Role Summary (RPS Optimized):
Seeking a QA Data Analyst & Telemetry Specialist with strong experience in data analysis, telemetry, log investigation, and dashboarding to support QA and engineering teams. Ideal candidates have hands-on experience with SQL, Python, R, and visualization tools (Tableau, Grafana, Superset, Looker, Power BI). Candidates should be familiar with log analysis tools like Splunk, Kibana, Datadog, Sumologic, or ElasticSearch and have a solid understanding of QA, release validation, production monitoring, and instrumentation design.
Responsibilities:
β’ Analyze telemetry and log data to identify product issues, trends, and coverage gaps
β’ Design and maintain dashboards and visualizations for QA and leadership teams
β’ Produce concise, actionable reports and summaries on product quality
β’ Collaborate with engineers and QA teams on instrumentation and telemetry requirements
β’ Support root cause analysis and postmortem investigations
β’ Define and monitor quality KPIs, including defect trends, coverage, regressions, and release readiness
Skills / Keywords (RPS Focused):
β’ SQL, Python, R, Data Analysis, Data Visualization, Tableau, Grafana, Superset, Looker, Power BI
β’ Log Analysis, Splunk, Kibana, Datadog, Sumologic, ElasticSearch
β’ QA, Test Automation, Release Engineering, Root Cause Analysis, Instrumentation, Telemetry, Observability
β’ Continuous Delivery, Production Monitoring, Metrics, Dashboards
Experience / Qualifications:
β’ 7+ years professional experience; 3β5 years cross-functional experience in large teams
β’ Bachelorβs degree in Computer Science, Data Science, Software Engineering, Information Systems, Statistics, Applied Mathematics, Electrical/Computer Engineering, or equivalent practical experience
β’ Experience in QA, data analysis, telemetry, instrumentation, or SRE roles
β’ Certifications in Data Analytics, SQL, Tableau, or Observability/Monitoring tools are a plus
Why This Role:
β’ Work with leading technology companies through a contracting engagement
β’ Hybrid work flexibility and hands-on impact on product quality
β’ Collaborate with cross-functional teams to shape QA and telemetry practices
#NowHiring #QAEngineer #DataAnalyst #Telemetry #QualityAssurance #SQL #Python #Tableau #Splunk #Observability #TechJobs
Job Title: QA Data Analyst & Telemetry Specialist (Contractor)
Location: Mountainview, CA
Company: Leading technology companies
Role Summary (RPS Optimized):
Seeking a QA Data Analyst & Telemetry Specialist with strong experience in data analysis, telemetry, log investigation, and dashboarding to support QA and engineering teams. Ideal candidates have hands-on experience with SQL, Python, R, and visualization tools (Tableau, Grafana, Superset, Looker, Power BI). Candidates should be familiar with log analysis tools like Splunk, Kibana, Datadog, Sumologic, or ElasticSearch and have a solid understanding of QA, release validation, production monitoring, and instrumentation design.
Responsibilities:
β’ Analyze telemetry and log data to identify product issues, trends, and coverage gaps
β’ Design and maintain dashboards and visualizations for QA and leadership teams
β’ Produce concise, actionable reports and summaries on product quality
β’ Collaborate with engineers and QA teams on instrumentation and telemetry requirements
β’ Support root cause analysis and postmortem investigations
β’ Define and monitor quality KPIs, including defect trends, coverage, regressions, and release readiness
Skills / Keywords (RPS Focused):
β’ SQL, Python, R, Data Analysis, Data Visualization, Tableau, Grafana, Superset, Looker, Power BI
β’ Log Analysis, Splunk, Kibana, Datadog, Sumologic, ElasticSearch
β’ QA, Test Automation, Release Engineering, Root Cause Analysis, Instrumentation, Telemetry, Observability
β’ Continuous Delivery, Production Monitoring, Metrics, Dashboards
Experience / Qualifications:
β’ 7+ years professional experience; 3β5 years cross-functional experience in large teams
β’ Bachelorβs degree in Computer Science, Data Science, Software Engineering, Information Systems, Statistics, Applied Mathematics, Electrical/Computer Engineering, or equivalent practical experience
β’ Experience in QA, data analysis, telemetry, instrumentation, or SRE roles
β’ Certifications in Data Analytics, SQL, Tableau, or Observability/Monitoring tools are a plus
Why This Role:
β’ Work with leading technology companies through a contracting engagement
β’ Hybrid work flexibility and hands-on impact on product quality
β’ Collaborate with cross-functional teams to shape QA and telemetry practices
#NowHiring #QAEngineer #DataAnalyst #Telemetry #QualityAssurance #SQL #Python #Tableau #Splunk #Observability #TechJobs