Mid Level Data Operations Analyst Jobs
Mid level data operations analyst jobs go to professionals ready to own data pipelines end to end, mentor junior analysts, and drive quality decisions with limited oversight. Openings are 40% remote or hybrid, concentrated across Technology & Software, Energy, and Automotive, with employers like Amazon, HARVEY, and Harvey hiring at this level now.
Find JobsOverview
Showing 5 of 7+ Mid Level Data Operations Analyst jobs
DESCRIPTION
Are you interested in solving the most critical operations problem behind cutting-edge robotics development? Interested in a fast dynamic environment? Amazon's Frontier AI & Robotics (FAR) team is building advanced robotic systems through frontier foundation models, and high-quality data collection is a core input to that research. Come lead the data operations team that produces the ground-truth data our models learn from.
We are looking for a Manager of Robotics Data to manage the shift of our data collection operation in San Francisco. You will manage a 20–30-person team of data collectors, own delivery and process for the shift, and ensure quality and throughput targets are met. You will be responsible for identifying the key initiatives to increase capacity and efficiency of the team, and partner with engineering, DC tech leads and researchers closely to deliver.
Key job responsibilities
- Set the team's priorities for the Data Ops team. Own the team's throughput, quality, and safety metrics. Work with the team to deep-dive technical and operational issues that impact data productivity. Build mechanisms for taking corrective actions.
- Partner with 3P to mentor and coach data collectors. Own data delivery, key initiatives, and process improvement.
- Serve as an essential point of contact for the Data Flywheel team. Interact with researchers, software and hardware engineers, and the Ops team on prioritization and project execution.
- Manage daily floor operations: staffing, work allocation, and escalation of issues on robotics. Create reports and track project/process metrics.
- Capacity planning and build capacity: Forecast the demand of the data based on research plan, plan for the ops capacity, and identify bottleneck.
- Identify repetitive problems from data operations and initiate new technical and operational programs to de-bottleneck the issues systematically.
- Drive process optimization and improvement projects in quality and productivity across the data collection workflow. Partner with cross-functional teams and DC Tech Leads to improve tooling and processes.
- Partner with vendors on managing the 3P team. Review vendor performance at regular cadence and ensure productivity and quality deliverables are met.
- Manage expectations of multiple stakeholders across teams within the program. Present team metrics and write-ups in business review meetings.
- Support hiring, onboarding, and training of new team members, including conversion of high-performing contractors to full-time roles.
BASIC QUALIFICATIONS
- 2+ years of people management and team development experience
- Experience with continuous improvement processes
- 5+ years of operations experience
- Familiarity with standard desktop tools (Word, Excel) and the ability to create reports and track metrics
- Strong technical and non-technical program management
- Strong entrepreneur ownership, willingness to meet daily deadlines in an ever changing and fast-paced environment
PREFERRED QUALIFICATIONS
- Experience with strong project management skills and the ability to thrive in a fast-paced environment
- A bachelor's degree in any field (STEM preferred but not required)
- Experience managing robotics, data, or ML data operations teams
- Excellent verbal and written communication; strong attention to detail and organizational skills
- Strong people-management skills and the ability to lead by example and adapt to dynamic requirements
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
LOCATION
USA, CA, San Francisco
COMPENSATION
- Salary Range: $148,600.00 - $222,000.00 USD annually
DESCRIPTION
Are you interested in solving the most critical operations problem behind cutting-edge robotics development? Interested in a fast dynamic environment? Amazon's Frontier AI & Robotics (FAR) team is building advanced robotic systems through frontier foundation models, and high-quality data collection is a core input to that research. Come lead the data operations team that produces the ground-truth data our models learn from.
We are looking for a Manager of Robotics Data to manage the shift of our data collection operation in San Francisco. You will manage a 20–30-person team of data collectors, own delivery and process for the shift, and ensure quality and throughput targets are met. You will be responsible for identifying the key initiatives to increase capacity and efficiency of the team, and partner with engineering, DC tech leads and researchers closely to deliver.
Key job responsibilities
- Set the team's priorities for the Data Ops team. Own the team's throughput, quality, and safety metrics. Work with the team to deep-dive technical and operational issues that impact data productivity. Build mechanisms for taking corrective actions.
- Partner with 3P to mentor and coach data collectors. Own data delivery, key initiatives, and process improvement.
- Serve as an essential point of contact for the Data Flywheel team. Interact with researchers, software and hardware engineers, and the Ops team on prioritization and project execution.
- Manage daily floor operations: staffing, work allocation, and escalation of issues on robotics. Create reports and track project/process metrics.
- Capacity planning and build capacity: Forecast the demand of the data based on research plan, plan for the ops capacity, and identify bottleneck.
- Identify repetitive problems from data operations and initiate new technical and operational programs to de-bottleneck the issues systematically.
- Drive process optimization and improvement projects in quality and productivity across the data collection workflow. Partner with cross-functional teams and DC Tech Leads to improve tooling and processes.
- Partner with vendors on managing the 3P team. Review vendor performance at regular cadence and ensure productivity and quality deliverables are met.
- Manage expectations of multiple stakeholders across teams within the program. Present team metrics and write-ups in business review meetings.
- Support hiring, onboarding, and training of new team members, including conversion of high-performing contractors to full-time roles.
BASIC QUALIFICATIONS
- 2+ years of people management and team development experience
- Experience with continuous improvement processes
- 5+ years of operations experience
- Familiarity with standard desktop tools (Word, Excel) and the ability to create reports and track metrics
- Strong technical and non-technical program management
- Strong entrepreneur ownership, willingness to meet daily deadlines in an ever changing and fast-paced environment
PREFERRED QUALIFICATIONS
- Experience with strong project management skills and the ability to thrive in a fast-paced environment
- A bachelor's degree in any field (STEM preferred but not required)
- Experience managing robotics, data, or ML data operations teams
- Excellent verbal and written communication; strong attention to detail and organizational skills
- Strong people-management skills and the ability to lead by example and adapt to dynamic requirements
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
LOCATION
USA, CA, San Francisco
COMPENSATION
- Salary Range: $148,600.00 - $222,000.00 USD annually
See All 7 Mid Level Data Operations Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Data Operations Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
- Automotive
- Banking & Financial Services
- Healthcare & Medical Services
Mid Level Data Operations Analyst Jobs: Frequently Asked Questions
How do I get a mid level data operations analyst job?
Lead with ownership. Highlight projects where you managed a data pipeline, resolved data quality issues, or delivered reporting improvements without heavy supervision. Tailor your resume to show measurable impact, such as reduced processing errors or faster data delivery. Demonstrate familiarity with SQL, ETL workflows, and at least one data platform. Hiring managers at this level look for analysts who ask better questions, not just complete assigned tasks.
Which companies hire mid level data operations analysts?
Companies hiring mid level data operations analysts right now include Amazon, HARVEY, and Harvey, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers a mix of large enterprises with mature data functions and fast-growing mid-size companies building out their analytics infrastructure.
Are there remote mid level data operations analyst jobs?
Yes, remote and hybrid options are widely available at this level. About 40% of mid level data operations analyst openings are remote or hybrid as of November 2026, reflecting how most data operations work can be performed without being on-site. Fully on-site roles tend to appear in industries with strict data governance requirements, such as financial services and healthcare.
How do I move up to a mid level data operations analyst role?
The path from entry level to mid level is built on demonstrated ownership. Focus on deepening your SQL and data pipeline skills, volunteering to lead smaller projects, and documenting the measurable impact of your work. Analysts who cross into mid level typically show they can identify data quality problems proactively, not just fix them when assigned. Building familiarity with data governance practices and cross-functional collaboration accelerates that progression.
Which industries hire the most mid level data operations analysts?
Mid Level data operations analyst roles concentrate in Technology & Software, Energy, and Automotive, based on current listings on Migrate Mate as of November 2026. These sectors generate high volumes of transactional and operational data, which creates sustained demand for analysts who can maintain pipelines, ensure data accuracy, and support reporting at scale.