Data Operations Analyst Jobs
Data Operations Analyst jobs are open across healthcare, finance, logistics, and technology, from entry-level to senior and lead, with specializations in data quality, pipeline management, and reporting automation. Find a role that fits from the openings below and apply directly.
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Serves as lead consultant to ensure the alignment, buy-in, and coordination of diverse stakeholders to drive the implementation of successful business initiatives and projects. Provides expertise and drives the development and implementation of business initiatives, systems, and/or processes to a desired future state. Develops business strategy and ensures alignment and prioritization of organizational objectives and business initiatives. Manages complex projects or project components, leads change management activities, and performs complex data analyses to drive business initiatives. Participates in vendor management as required. Monitors compliance of work activities by ensuring business plans and team members adhere to relevant policies and procedures.
Essential Responsibilities:
- Promotes learning in others by communicating information and providing advice to drive projects forward; builds relationships with cross-functional stakeholders. Listens, responds to, seeks, and addresses performance feedback; provides actionable feedback to others, including upward feedback to leadership and mentors junior team members. Practices self-leadership; creates and executes plans to capitalize on strengths and improve opportunity areas; influences team members within assigned team or unit. Adapts to competing demands and new responsibilities; adapts to and learns from change, challenges, and feedback. Models team collaboration within and across teams.
- Conducts or oversees business-specific projects by applying deep expertise in subject area; promotes adherence to all procedures and policies. Partners internally and externally to make effective business decisions; determines and carries out processes and methodologies; solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Develops work plans to meet business priorities and deadlines; coordinates and delegates resources to accomplish organizational goals. Recognizes and capitalizes on improvement opportunities; evaluates recommendations made; influences the completion of project tasks by others.
- Serves as a lead consultant to ensure the alignment, buy-in, and coordination of diverse stakeholders to drive the implementation of successful business initiatives and projects across multiple functional tracks or complex workstreams by identifying and ensuring representation and inclusion of appropriate stakeholders; building rapport and partnerships with key stakeholder teams, third party vendors, and senior management; working with stakeholders to develop goals and set the prioritization of deliverables; discussing involvement of business processes (e.g. project change management, communication) and facilitating decisions necessary for the delivery of business initiatives; communicating and resolving tough issues with stakeholders while maintaining an independent perspective; and making formal presentations and providing reports to executive level audiences.
- Develops requirements, or leads a team of consultants in the development of requirements, for complex or specialized business, process, or system solutions which may span multiple business domain(s) by partnering with stakeholders and cross-functional teams as appropriate; leveraging multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements; and leading and overseeing the development and documentation of comprehensive business cases to assess the costs, benefits, and ROI of proposed solutions.
- Provides expertise and drives the development and implementation of business initiatives, systems, and/or processes to a desired future state by maintaining a comprehensive understanding of how current processes impact business operations across multiple domains; mapping current state against future state processes; identifying the operational impact of requirements on upstream and downstream solution components; providing options and recommendations to senior management and business stakeholders on how to integrate solutions and deliverables with current systems and business processes across regions or domains; and identifying and validating value gaps and opportunities for process enhancements or efficiencies.
- Develops business strategy and ensures alignment and prioritization of organizational objectives and business initiatives by defining, developing, and evaluating performance metrics, standards, and methods to establish business success; partnering with senior stakeholders, often with competing/conflicting objectives, to ensure cohesive and reachable metrics; refining strategic plans and performance metrics as appropriate; and managing complex initiatives or portfolio to ensure delivery of measurable results and alignment with strategic objectives.
- Serves as a lead advocate for continuous learning and professional development by keeping abreast of cutting edge industry practices, standards, and benchmarks; attending and presenting at roadshows, conferences, and speaking events; leading the ongoing enhancement and innovation of consulting practices, standards, and methods across KP; serving as an advocate to ensure continuous learning and improvement is championed as a people strategy; providing training and guidance to stakeholders as appropriate; and providing ongoing coaching to build a continuous improvement mindset and build capabilities that drive results.
- Manages complex projects or project components by coordinating stakeholder contacts; assembling team based on project needs and team member strengths; consulting in the development, analysis, and management of project plans; coordinating project schedules and resource forecasts; proactively monitoring and identifying project or business initiative risks, issues, and trigger events; developing mitigation plans and strategies; and resolving or escalating risks or issues as appropriate.
- Leads change management activities associated with business initiatives by engaging stakeholders to obtain support and buy in for changes; partnering with senior management, project champions, and process owners to communicate align improvement initiatives with business objectives; determining appropriate change management method and approach; and ensuring stakeholders embrace a change management mindset, understand intent and purpose, and foster a culture of change.
- Performs complex data analyses to drive business initiatives by identifying appropriate data analysis tools and approach to assess business performance; determining suitable data gathering and analysis methods (e.g., process observation, hard data, etc.); defining data requirements and obtaining customer agreements, including customer requirements as appropriate; conducting advanced analyses and performing experimental tests to evaluate the effectiveness of business solutions; and identifying and alleviating risks through data-driven analysis.
- Participates in vendor management as required by reviewing vendor performance levels; ensuring service level agreements are met; managing vendor invoices; and partnering with Procurement and/or Legal to develop service level and/or scope of work agreements as appropriate.
- Monitors compliance of work activities by ensuring business plans and team members adhere to KP, departmental, and/or business line policies and procedures.
Minimum Qualifications:
- Minimum two (2) years experience in a leadership role with or without direct reports.
- Bachelors degree from an accredited college or university and Minimum eight (8) years experience in consulting, project management, data analytics, operations or a directly related field OR Masters degree in Business, Public Health, or a directly related field and Minimum six (6) years experience in consulting, project management, data analytics, operations or a directly related field OR Minimum ten (10) years experience in consulting, project management, data analytics, operations or a directly related field.
Additional Requirements:
- Knowledge, Skills, and Abilities (KSAs): Business Acumen; Change Management; Negotiation; Creativity; Applied Data Analysis; Financial Acumen; Conflict Resolution; Managing Diverse Relationships; Process Validation; Project Management; Risk Assessment; Service Focus; Requirements Elicitation & Analysis
- Four (4) years of experience working with performance management.
- Four (4) years of experience working with healthcare operations.
- Four (4) years of experience working with consumer experience or care experience.
- Three (3) years experience developing and delivering executive communications.
- Three (3) years experience managing vendor contracts and relationships.
PrimaryLocation : California,Downey,Downey Boeing - Independence Park
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri,
WorkingHoursStart : 09:00 AM
WorkingHoursEnd : 05:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-PO-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Professional Services
Department : Po/Ho Corp - National Rx Programs & Servics - 0308
Travel : Yes, 10 % of the Time
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.
Data Operations Analyst Jobs by Experience Level
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Find Data Operations Analyst JobsData Operations Analyst Job Market
Who's Hiring
- Amazon12

- Meta5

- Kahana & Feld LLP4
- Oscar Management Corporation4

- SAIC3

Top Industries Hiring
- Technology & Software11
- Insurance5
- Food & Beverage2
- Science & Research2
- Energy1
What Employers Look For
The qualifications that appear most often in data operations analyst jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets
- Experience with ETL or ELT pipelines using tools such as dbt, Airflow, or Talend
- Familiarity with cloud data platforms including Snowflake, BigQuery, or Redshift
- Bachelor's degree in a quantitative field such as computer science, statistics, or information systems
- Ability to document data lineage, data dictionaries, and operational runbooks
- Experience working with data quality frameworks and resolving upstream data integrity issues
Tips for Your Data Operations Analyst Job Search
Tailor your resume to the stack
Data operations analyst job descriptions almost always name specific tools, SQL variants, ETL platforms, or BI systems. Mirror the exact tool names from each posting in your resume's skills and experience sections so your application clears automated screening.
Quantify your data volume experience
Hiring managers want to know the scale you've worked at. Replace vague phrases like 'managed large datasets' with concrete scope: the number of tables, ingestion frequency, or record counts you handled regularly. Scale signals operational maturity.
Target postings that list your certifications
Roles requiring dbt, Snowflake, or Google Cloud certifications are often undercompeted because fewer candidates hold them. Filter your search for openings that mention credentials you already have and apply to those first before widening your scope.
Apply early to roles that fit
Migrate Mate lists data operations analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a data quality scenario for interviews
Interviewers for data operations roles almost always ask how you've handled a broken pipeline or corrupted source data. Prepare one specific example with a clear problem, your diagnostic steps, the fix, and what you changed downstream to prevent recurrence.
Negotiate by citing the full scope of your work
Data operations analysts often absorb engineering and analytics tasks not reflected in their title. Before accepting an offer, list the cross-functional responsibilities in writing and use that documented scope as the basis for a higher band or a title adjustment.
Data Operations Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data operations analysts?
The companies hiring the most data operations analysts right now include Amazon, Meta, and Kahana & Feld LLP, with the largest share of openings in California, Texas, and Illinois, based on current listings on Migrate Mate as of September 2026. Demand is especially active in healthcare systems, financial services firms, and logistics companies scaling their data infrastructure.
How many data operations analyst jobs are remote?
About 55% of data operations analyst openings are fully remote or hybrid as of September 2026, reflecting strong remote tolerance across the role. Sub-areas like data quality monitoring, pipeline documentation, and reporting automation tend to have the highest share of remote-eligible postings compared to roles requiring on-site system access.
How do you become a data operations analyst?
Start by building proficiency in SQL and at least one cloud data platform, then practice designing and troubleshooting ETL pipelines using open datasets. Earn a relevant certification in a tool like dbt or Snowflake to signal hands-on ability. Apply to junior or associate-level roles that emphasize data quality and pipeline support, and use each role to deepen your documentation and cross-functional collaboration skills.
Can I get a data operations analyst job with little experience?
Yes, entry-level data operations analyst roles exist, and employers hiring for them typically prioritize demonstrated SQL ability and basic pipeline knowledge over years on the job. Build a project portfolio using public datasets to show you can ingest, clean, and validate data end to end. Roles at startups or within operations teams at mid-size companies are often more open to candidates making a transition from adjacent fields like business analysis or data entry.
What does the data operations analyst interview process look like?
Most hiring processes include an initial recruiter screen, a technical assessment covering SQL and data troubleshooting scenarios, and a panel interview with data engineering or analytics stakeholders. Some employers add a take-home case study where you identify data quality issues in a sample dataset and propose a remediation plan. Final rounds often involve a conversation with a hiring manager focused on your communication style and how you work across teams.
Where can I find and apply to data operations analyst jobs?
You can find and apply to data operations analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills, location preference, and seniority level, then apply directly to each one that fits.
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