Analytics Team Lead Jobs
Analytics Team Lead jobs are open across technology, healthcare, financial services, retail, and media, at every level from senior analyst to director, with specializations in product analytics, marketing analytics, and data governance. Find a role that fits below and apply directly.
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DESCRIPTION
The Leo Network Observability, Visibility & Analytics team builds the systems that provide deep, end-to-end insight into the health, performance, and reliability of this global telecom network. Our systems span the full Leo service, from satellites and customer terminals to ground gateways, cloud services, and terrestrial network infrastructure, and help engineers understand network behavior, detect failures quickly, and diagnose complex issues.
We are looking for a Quality Assurance Engineer to help ensure the network health metrics, dashboards, and APIs our engineers and leaders rely on are accurate, reliable, and ready for release. You will test systems that turn network telemetry and events into answers to critical questions: Is the network healthy? Where is a failure occurring? What is its customer impact?
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Create and execute test plans and test cases for new and existing features across our network health services, data pipelines, APIs, and dashboards, ensuring thorough functional, integration, and end-to-end coverage across straightforward and moderately complex scenarios.
- Develop, maintain, and extend automated tests for APIs, UI, and data pipelines using languages such as Python, and integrate them into CI/CD pipelines to reduce manual testing effort.
- Validate the accuracy of network health metrics (such as availability, latency, and packet loss) against source data and expected results.
- Troubleshoot and isolate defects from test and pipeline failures, file clear and actionable bug reports, and work with developers to drive root cause analysis and resolution.
- Review requirements, designs, and change requests with engineers and product managers to identify risks and test gaps early, and recommend changes that improve quality and the customer experience.
- Participate in defect triage, test planning, and prioritization discussions, helping the team balance time constraints with test coverage goals.
- Use AI tools to help generate test cases, expand coverage, and speed up defect investigation.
- Track quality metrics and share release readiness status with the team.
A day in the life
As a QAE on the Network Observability team, you'll work with software engineers, network engineers, and product managers to review new features, identify risks, and plan how to test them. You might validate that a new availability metric matches the underlying telemetry one day, and build API automation for a new service the next. You'll write and run automated tests, triage failures in CI/CD pipelines, and partner with developers to reproduce and fix defects. You'll take part in sprint ceremonies and design reviews, and help make sure the data engineers and leaders use to operate the Leo network is right.
About the team
The Leo Network Observability, Visibility & Analytics team is responsible for making a highly distributed global telecom network understandable and operable at scale. We build the visibility layer that connects network signals across satellites, customer terminals, gateways, cloud services, and terrestrial infrastructure, turning individual telemetry signals into an end-to-end view of network health so issues can be detected, diagnosed, and resolved faster.
The problems we solve are inherently distributed and combine software engineering with networking and data science. We are building new capabilities rather than applying existing observability patterns to a conventional cloud service. If you enjoy ambiguous problems, care about getting the details right, and want to help build foundational systems for Amazon Leo, this team is a great place to grow.
BASIC QUALIFICATIONS
- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)
PREFERRED QUALIFICATIONS
- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 84,100.00 - 147,200.00 USD annually
DESCRIPTION
The Leo Network Observability, Visibility & Analytics team builds the systems that provide deep, end-to-end insight into the health, performance, and reliability of this global telecom network. Our systems span the full Leo service, from satellites and customer terminals to ground gateways, cloud services, and terrestrial network infrastructure, and help engineers understand network behavior, detect failures quickly, and diagnose complex issues.
We are looking for a Quality Assurance Engineer to help ensure the network health metrics, dashboards, and APIs our engineers and leaders rely on are accurate, reliable, and ready for release. You will test systems that turn network telemetry and events into answers to critical questions: Is the network healthy? Where is a failure occurring? What is its customer impact?
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Create and execute test plans and test cases for new and existing features across our network health services, data pipelines, APIs, and dashboards, ensuring thorough functional, integration, and end-to-end coverage across straightforward and moderately complex scenarios.
- Develop, maintain, and extend automated tests for APIs, UI, and data pipelines using languages such as Python, and integrate them into CI/CD pipelines to reduce manual testing effort.
- Validate the accuracy of network health metrics (such as availability, latency, and packet loss) against source data and expected results.
- Troubleshoot and isolate defects from test and pipeline failures, file clear and actionable bug reports, and work with developers to drive root cause analysis and resolution.
- Review requirements, designs, and change requests with engineers and product managers to identify risks and test gaps early, and recommend changes that improve quality and the customer experience.
- Participate in defect triage, test planning, and prioritization discussions, helping the team balance time constraints with test coverage goals.
- Use AI tools to help generate test cases, expand coverage, and speed up defect investigation.
- Track quality metrics and share release readiness status with the team.
A day in the life
As a QAE on the Network Observability team, you'll work with software engineers, network engineers, and product managers to review new features, identify risks, and plan how to test them. You might validate that a new availability metric matches the underlying telemetry one day, and build API automation for a new service the next. You'll write and run automated tests, triage failures in CI/CD pipelines, and partner with developers to reproduce and fix defects. You'll take part in sprint ceremonies and design reviews, and help make sure the data engineers and leaders use to operate the Leo network is right.
About the team
The Leo Network Observability, Visibility & Analytics team is responsible for making a highly distributed global telecom network understandable and operable at scale. We build the visibility layer that connects network signals across satellites, customer terminals, gateways, cloud services, and terrestrial infrastructure, turning individual telemetry signals into an end-to-end view of network health so issues can be detected, diagnosed, and resolved faster.
The problems we solve are inherently distributed and combine software engineering with networking and data science. We are building new capabilities rather than applying existing observability patterns to a conventional cloud service. If you enjoy ambiguous problems, care about getting the details right, and want to help build foundational systems for Amazon Leo, this team is a great place to grow.
BASIC QUALIFICATIONS
- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)
PREFERRED QUALIFICATIONS
- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 84,100.00 - 147,200.00 USD annually
Analytics Team Lead Jobs by Experience Level
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Find Analytics Team Lead JobsAnalytics Team Lead Job Market
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in analytics team lead jobs.
- Five or more years of analytics experience with at least two years managing analysts
- Advanced proficiency in SQL and at least one BI tool such as Tableau, Power BI, or Looker
- Demonstrated ability to translate business questions into measurable metrics and analytical frameworks
- Experience presenting data-driven recommendations to senior or executive stakeholders
- Proficiency in Python or R for data manipulation, modeling, or workflow automation
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related quantitative field
Tips for Your Analytics Team Lead Job Search
Quantify the team you led
Hiring managers for analytics team lead roles want to see how many analysts you managed and what output your team produced. Replace vague statements with concrete team size, delivery cadence, and measurable business outcomes your team drove.
Tailor your resume to the analytics stack
Job postings for analytics team leads often list specific tools like SQL, Tableau, dbt, or Looker as requirements. Mirror the exact tool names from each posting in your resume so your application clears automated screening before a human ever reads it.
Apply early to roles that fit
Migrate Mate lists analytics team lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that list P&L or stakeholder exposure
Analytics team lead roles vary widely in seniority signal. Postings that mention executive stakeholders, cross-functional influence, or business strategy indicate genuine leadership scope. Prioritize these if you want to advance rather than just manage a queue.
Prepare a case study for the technical interview
Most analytics team lead interviews include a case or take-home where you define a metric, structure an analysis, and present findings. Practice walking through your reasoning out loud, not just your answer, because interviewers are evaluating how you think, not just what you conclude.
Negotiate scope before you negotiate compensation
Before accepting an analytics team lead offer, confirm whether you own hiring decisions, roadmap prioritization, and analyst performance reviews. A title without those responsibilities is a senior individual contributor role, and knowing the difference lets you negotiate from an accurate baseline.
Analytics Team Lead Jobs: Frequently Asked Questions
Which companies are hiring the most analytics team leads?
Rosendin Electric, Amazon, and JPMorganChase are hiring the most analytics team leads right now, with openings concentrated in Texas, Washington, and New York, based on current listings on Migrate Mate as of November 2026. Demand is strongest at companies scaling their data infrastructure or transitioning from ad hoc reporting to self-serve analytics platforms.
How many analytics team lead jobs are remote?
About 83% of analytics team lead openings are fully remote or hybrid as of November 2026, reflecting the role's heavy reliance on collaborative tools and dashboard-based workflows. Sub-areas like marketing analytics and product analytics tend to have the highest remote share, while roles tied to operations or supply chain more often require on-site presence.
How do you become an analytics team lead?
Start by building deep SQL and BI tool fluency as an individual contributor, then actively take on cross-functional projects where you present findings to business stakeholders. Volunteer to mentor junior analysts, own a reporting area end-to-end, and document the business impact of your team's work. When applying, emphasize people management, roadmap ownership, and how your analysis influenced decisions, not just the technical methods you used.
Can you get hired as an analytics team lead without formal management experience?
Yes, but you need to demonstrate informal leadership in your application and interviews. Highlight instances where you guided junior analysts, led an analytics workstream, or owned a business-critical dashboard without a direct reporting line. Employers in fast-growing companies often promote strong senior analysts into team lead roles, so framing your experience around ownership and cross-functional influence matters more than a formal manager title.
What does the analytics team lead interview process look like?
Most processes include a recruiter screen, a hiring manager conversation focused on your leadership style and analytics philosophy, a technical assessment involving SQL or a case study, and a final round with business stakeholders. Some employers add a take-home project where you analyze a dataset and present recommendations. Expect questions about how you prioritize competing requests, how you develop analysts on your team, and how you've influenced decisions with data.
Where can I find and apply to analytics team lead jobs?
You can find and apply to analytics team lead jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing. The openings update regularly, so checking back frequently gives you access to roles as soon as they're posted.
See All 29 Analytics Team Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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