

The Fountain Group
QA Data Analyst & Telemetry Specialist IV
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a QA Data Analyst & Telemetry Specialist IV, offering $75-85/hour W2 for a hybrid position in Mountain View, CA. Requires a Bachelor's degree, 7+ years of experience, strong data analysis skills, and proficiency in visualization tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
October 7, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Mountain View, CA
-
π§ - Skills detailed
#Monitoring #Visualization #SQL (Structured Query Language) #Grafana #Regression #BI (Business Intelligence) #Data Science #Tableau #Statistics #Logging #Splunk #Elasticsearch #R #Datadog #Plotly #Leadership #Automation #Looker #AI (Artificial Intelligence) #Strategy #Mathematics #Data Analysis #Observability #Python #Computer Science #Microsoft Power BI
Role description
PAY: $75-85/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
This is a hybrid onsite role, onsite work 3-4 days/week in Mountain View, CA
W2 Candidates only, C2C/1099 not possible.
Description:
β’ Seeking QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams.
β’ This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting.
β’ You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence.
β’ Youβll be the teamβs go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams.
Responsibilities:
β’ Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
β’ Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.
β’ Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
β’ Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.
β’ Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
β’ Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how theyβre consumed across tools and stakeholders.
β’ Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Requirements
β’ Bachelorβs degree (or higher) in Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics, or Electrical or Computer Engineering
β’ Equivalent practical experience is also welcome β especially in QA, data analysis, SRE, or systems engineering roles.
β’ Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams.
β’ Strong hands-on experience with data analysis (SQL, Python, R, or similar) is required.
β’ Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI) is required.
β’ Able to write concise reports with actionable insights β weekly summaries, defect overviews, quality scorecards, etc.
β’ Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
β’ Comfortable discussing and designing instrumentation/logging with engineers
β’ Familiarity with QA concepts, release validation, and production monitoring
β’ Strong communication skills; can adapt output to technical and non-technical audiences
Nice to Have Skills
β’ Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus.
β’ Background in QA, test automation, or release engineering
β’ Experience with OpenTelemetry (or other Telemetry Software), distributed tracing, or event-driven logs is strongly preferred
β’ Experience in continuous delivery environments with real-time observability needs
β’ Prior involvement in incident reviews or quality postmortems on environments or large teams.
Who We Are:
The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort.
Browse our website below for additional information on our company.
The Fountain Group
3407 W Martin Luther King Jr. Dr. Tampa, FL 33607
βWe work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.β
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy
PAY: $75-85/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
This is a hybrid onsite role, onsite work 3-4 days/week in Mountain View, CA
W2 Candidates only, C2C/1099 not possible.
Description:
β’ Seeking QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams.
β’ This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting.
β’ You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence.
β’ Youβll be the teamβs go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams.
Responsibilities:
β’ Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
β’ Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.
β’ Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
β’ Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.
β’ Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
β’ Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how theyβre consumed across tools and stakeholders.
β’ Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Requirements
β’ Bachelorβs degree (or higher) in Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics, or Electrical or Computer Engineering
β’ Equivalent practical experience is also welcome β especially in QA, data analysis, SRE, or systems engineering roles.
β’ Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams.
β’ Strong hands-on experience with data analysis (SQL, Python, R, or similar) is required.
β’ Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI) is required.
β’ Able to write concise reports with actionable insights β weekly summaries, defect overviews, quality scorecards, etc.
β’ Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
β’ Comfortable discussing and designing instrumentation/logging with engineers
β’ Familiarity with QA concepts, release validation, and production monitoring
β’ Strong communication skills; can adapt output to technical and non-technical audiences
Nice to Have Skills
β’ Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus.
β’ Background in QA, test automation, or release engineering
β’ Experience with OpenTelemetry (or other Telemetry Software), distributed tracing, or event-driven logs is strongly preferred
β’ Experience in continuous delivery environments with real-time observability needs
β’ Prior involvement in incident reviews or quality postmortems on environments or large teams.
Who We Are:
The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort.
Browse our website below for additional information on our company.
The Fountain Group
3407 W Martin Luther King Jr. Dr. Tampa, FL 33607
βWe work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.β
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy