Data Operations Analyst Jobs in Washington
Data Operations Analyst jobs in Washington are in strong and consistent demand, concentrated in technology, cloud services, healthcare, and aerospace sectors, with openings at every level from entry-level through senior and lead roles. Seattle, Bellevue, and Redmond account for most of the hiring activity, anchored by major employers like Amazon, Microsoft, and Boeing, all of which maintain large data and analytics operations in the state. The most in-demand specialties include data pipeline management, business intelligence, and ETL process development. Find a role that fits below and apply directly.
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Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
Position Summary:
The Senior Manager, Data & AI Analytics is a hands-on, key role responsible for driving the implementation of a strong data foundation that enables advanced analytics across Global Patient Operations (GPO). This role combines senior technical leadership with individual-contributor execution — designing, building, and delivering scalable data and AI-driven analytics solutions.
This role plays a critical part in advancing the GPO Analytics Hub, enabling standardized, high-quality data models, cross-platform data integration, and AI/automation use cases to drive operational insights and decision-making across patient operations, manufacturing logistics, scheduling, supply chain, and workforce analytics.
Key Responsibilities:
Collaborate with cross-functional teams including (SCLT, APH Ops, BI&T, Manufacturing, Supply Chain) to translate business needs into scalable data solutions
Drive hands-on implementation of a strong, standardized data foundation to enable advanced analytics and AI use cases across GPO
Design, develop, and maintain scalable ETL pipelines and data models using SQL, Python, dbt, and Databricks (Medallion architecture – bronze/silver/gold)
Build and optimize complex SQL transformation pipelines integrating data from SAP, Oracle, Salesforce, AWS Athena, PostgreSQL, and other enterprise systems
Develop and maintain curated datasets and semantic models supporting the GPO Analytics Hub and enterprise reporting
Design and optimize Power BI and Tableau datasets/dashboards to enable consistent KPI reporting and executive analytics
Partner with analytics and business teams to standardize KPIs, definitions, and data logic across GPO
Enable and support AI/automation initiatives, including predictive analytics, Copilot, and agent-based solutions
Develop data harmonization and reconciliation pipelines to unify cross-system operational data
Build reusable frameworks for ETL orchestration, API integration, automated validation, and operational alerting
Implement data governance, data quality checks, monitoring, and production-ready deployment strategies
Optimize performance of large-scale datasets across PostgreSQL, Impala/Cloudera, and Athena environments
Support platform migration initiatives (e.g., Tableau to Power BI) and enterprise data standardization efforts
Lead requirements gathering, UAT coordination, stakeholder reviews, and production rollouts
Maintain documentation, metadata mapping, and data lineage to support governance and transparency
Provide technical leadership, code reviews, and best practices guidance across the analytics engineering function (no direct reports)
Key Qualifications & Experience:
Bachelor’s or master’s degree in computer science, Data Engineering, Analytics, or related field
10+ years of experience in data engineering or analytics engineering, with demonstrated leadership in building enterprise data foundations
Strong hands-on expertise in SQL and Python, with experience in large-scale data environments
Experience with Databricks, dbt, and cloud data platforms (AWS/Azure)
Proven ability to design and optimize ETL pipelines, data models, and semantic layers
Experience with Power BI and/or Tableau
Strong understanding of AI/ML data workflows and integration requirements
Experience in life sciences, pharmaceutical, or regulated environments
Hands-on experience with GenAI, LLMs, or agent-based AI solutions
Experience with Data Ops, CI/CD, and Git-based development workflows
Familiarity with Domino Data Lab or similar platforms
Knowledge of data governance, metadata, and lineage frameworks
Strong hands-on technical expertise with end-to-end ownership
Ability to translate business requirements into scalable data solutions
Collaborative and proactive approach across cross-functional teams
Strong problem-solving and system design skills
Focus on data quality, consistency, and usability
Ability to operate as a senior, hands-on driver of data foundation initiatives that unlock advanced analytics and AI capabilities
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview:
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include:
Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1605109 : Senior Manager , Global Patient Ops Data and AI AnalyticsSee All 6 Data Operations Analyst Jobs in Washington
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Find Data Operations Analyst JobsData Operations Analyst Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Operations Analyst Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Retail
- Technology & Software
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in data operations analyst jobs across Washington.
- Bachelor's degree in data science, computer science, information systems, or a related field
- Proficiency in SQL for querying, transforming, and maintaining large operational datasets
- Experience with ETL tools, data pipeline platforms, or workflow automation systems
- Familiarity with cloud data environments such as AWS, Azure, or Google Cloud Platform
- Ability to build dashboards and reports using business intelligence tools like Tableau or Power BI
- Strong attention to data quality, documentation practices, and cross-team communication skills
Data Operations Analyst Jobs in Washington: Frequently Asked Questions
How do you become a data operations analyst in Washington?
A bachelor's degree in data science, information systems, computer science, or a related field is the standard entry point for data operations analyst roles in Washington. No state-issued license is required for this role. Washington employers, particularly in the Seattle and Bellevue tech corridor, consistently prioritize candidates who demonstrate proficiency in SQL, cloud data platforms, and ETL processes, whether through coursework, certifications from providers like Google or Microsoft, or hands-on project work.
Which companies hire data operations analysts in Washington?
Employers hiring data operations analysts in Washington right now include Nordstrom, Amazon, and Meta, based on current listings on Migrate Mate as of August 2026. Washington's dense concentration of technology, healthcare, and aerospace companies means demand for this role is distributed across both large enterprise employers and mid-size firms throughout the greater Seattle metropolitan area.
Which Washington cities have the most data operations analyst jobs?
Seattle and Bellevue have the most data operations analyst openings in Washington. Seattle and Bellevue drive the bulk of the volume through their concentration of large technology firms and corporate headquarters, while Redmond specifically benefits from Microsoft's extensive data and analytics operations anchored there.
Are there remote data operations analyst jobs in Washington?
Yes, and more than most fields. About 100% of data operations analyst openings tied to Washington are remote or hybrid as of August 2026, reflecting how naturally this desk-based, analytical role adapts to distributed work. The parts of the role most commonly offered remotely are data pipeline monitoring, reporting, and documentation work, while on-site or hybrid arrangements tend to apply to roles requiring close collaboration with engineering or product teams.
How can I get hired as a data operations analyst in Washington with little or no experience?
The most realistic path is applying to data analyst associate or junior data operations roles at Washington's large technology employers, which regularly hire recent graduates. Amazon and Microsoft both run new-grad and early-career programs in the Seattle area that place candidates into data operations tracks. Transitioning from adjacent roles such as business analyst, data quality specialist, or reporting analyst is also a well-established route. Completing a recognized data certification, such as the Google Data Analytics Certificate or a Microsoft Azure data credential, and building a portfolio of SQL and pipeline projects can give candidates a clear edge in a competitive field.
Where can I find and apply to data operations analyst jobs in Washington?
You can find and apply to data operations analyst jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and location, then apply directly to each one.
See All 6 Data Operations Analyst Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Operations Analyst Jobs