

FocusKPI, 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 with a 12-month contract in Mountain View, CA, offering $75-$85/hr. Requires 7+ years of experience, strong data analysis skills (SQL, Python), and familiarity with QA concepts and log analysis tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
October 4, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Mountain View, CA
-
π§ - Skills detailed
#Automation #Python #Leadership #Mathematics #R #Visualization #SaaS (Software as a Service) #SQL (Structured Query Language) #Computer Science #Observability #Looker #Plotly #Data Analysis #Splunk #Strategy #Monitoring #Statistics #Elasticsearch #Logging #Datadog #Tableau #Microsoft Power BI #Regression #Data Science #Grafana #BI (Business Intelligence)
Role description
FocusKPI is looking for a QA Data Analyst & Telemetry Specialist to join one of our clients, a high-tech SaaS company.
The client team is seeking a QA Data Analyst & Telemetry Specialist to support their product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. 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. 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. Work Location: Mountain View, CA Duration: 12-month contract; Hybrid role (4 days per week onsite) Pay Range: $75/hr to $85/hr
β’
β’ No C2C resumes are considered
β’
β’ Role & Responsibilities:
Data Analysis & Log Investigation: Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
Instrumentation Partnership: Collaborate with engineers to define, scope, and validate telemetry requirements, ensuring the capture of high-quality signals.
Dashboards & Visualization: Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
Written Reports: Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.
Root Cause Support: Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
Cross-Team Collaboration: Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how theyβre consumed across tools and stakeholders.
Quality Metrics Development: Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Qualifications:
Minimum of 7 years professional experience, with 3-5 years of recent cross-functional experience, ideally in large corporation environments or large teams.
Bachelorβs degree (or higher) in one of the following fields is preferred:
Computer Science
Data Science
Information Systems
Software Engineering
Statistics or Applied Mathematics
Electrical or Computer Engineering Equivalent practical experience is also welcome β especially in QA, data analysis, SRE, or systems engineering roles.
Strong hands-on experience with data analysis (SQL, Python, R, or similar)
Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)
Able to write concise reports with actionable insights β weekly summaries, defect overviews, quality scorecards, etc.
Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
Comfortable discussing and designing instrumentation/logging with engineers
Familiarity with QA concepts, release validation, and production monitoring
Strong communication skills; can adapt output to technical and non-technical audiences
Bonus Points:
Background in QA, test automation, or release engineering
Experience with OpenTelemetry, distributed tracing, or event-driven logs
Experience in continuous delivery environments with real-time observability needs
Prior involvement in incident reviews or quality postmortems
Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus.
β’
β’ No C2C resumes are considered
β’
β’ Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
jPfFlbSZO6
FocusKPI is looking for a QA Data Analyst & Telemetry Specialist to join one of our clients, a high-tech SaaS company.
The client team is seeking a QA Data Analyst & Telemetry Specialist to support their product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. 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. 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. Work Location: Mountain View, CA Duration: 12-month contract; Hybrid role (4 days per week onsite) Pay Range: $75/hr to $85/hr
β’
β’ No C2C resumes are considered
β’
β’ Role & Responsibilities:
Data Analysis & Log Investigation: Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
Instrumentation Partnership: Collaborate with engineers to define, scope, and validate telemetry requirements, ensuring the capture of high-quality signals.
Dashboards & Visualization: Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
Written Reports: Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.
Root Cause Support: Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
Cross-Team Collaboration: Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how theyβre consumed across tools and stakeholders.
Quality Metrics Development: Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Qualifications:
Minimum of 7 years professional experience, with 3-5 years of recent cross-functional experience, ideally in large corporation environments or large teams.
Bachelorβs degree (or higher) in one of the following fields is preferred:
Computer Science
Data Science
Information Systems
Software Engineering
Statistics or Applied Mathematics
Electrical or Computer Engineering Equivalent practical experience is also welcome β especially in QA, data analysis, SRE, or systems engineering roles.
Strong hands-on experience with data analysis (SQL, Python, R, or similar)
Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)
Able to write concise reports with actionable insights β weekly summaries, defect overviews, quality scorecards, etc.
Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
Comfortable discussing and designing instrumentation/logging with engineers
Familiarity with QA concepts, release validation, and production monitoring
Strong communication skills; can adapt output to technical and non-technical audiences
Bonus Points:
Background in QA, test automation, or release engineering
Experience with OpenTelemetry, distributed tracing, or event-driven logs
Experience in continuous delivery environments with real-time observability needs
Prior involvement in incident reviews or quality postmortems
Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus.
β’
β’ No C2C resumes are considered
β’
β’ Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
jPfFlbSZO6