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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Overview

Open roles141+
Top stateCalifornia
Top employerAmazon
Top citySan Francisco, CA
Work type46% On-site
Top industryTechnology

Showing 5 of 141+ Data Operations Analyst jobs

U
Operations Research Analyst (Data Scientist)
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U
Added 1d ago
Operations Research Analyst (Data Scientist)
US Defense Human Resources Activity
Alexandria, Virginia
Corporate Training
Learning & Development
Project Management
$102k - $133k/yr
On-Site
Military encouraged

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Rothman Orthopaedics
Healthcare Operations Data Analyst
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Rothman Orthopaedics
Added 2d ago
Healthcare Operations Data Analyst
Rothman Orthopaedics
Philadelphia, Pennsylvania
Clinical Trials & Medical Research
Data Analytics
Data Science
$65k - $85k/yr
Hybrid
Bachelor's degree in statistics
1,001-5,000

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D
Data Analyst (Operations & Policy Analyst 3)
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D
Added 2d ago
Data Analyst (Operations & Policy Analyst 3)
Department of Consumer & Business Services
Salem, Oregon
Business Analyst
Business Development
Business Strategy
Partnerships & Business Development
$6,276 - $9,644/yr
Hybrid
Bachelor's degree in finance

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Amazon.com
Data Engineer , CXI/OIS Analytics , Ops Tech Solution Network Dev
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Amazon.com
Added 2d ago
Data Engineer , CXI/OIS Analytics , Ops Tech Solution Network Dev
Amazon.com
Austin, Texas
Cloud & DevOps
Cloud Engineering
Network Engineering
Systems Administration
$132k - $179k/yr
Bachelor's degree in engineering
10,000+

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El Camino Health
Clinical Data Specialist - 0.5 - Days - Heart and Vascular Institute OPS @ MV
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El Camino Health
Added 3d ago
Clinical Data Specialist - 0.5 - Days - Heart and Vascular Institute OPS @ MV
El Camino Health
Mountain View, California
Program Management
Project & Program Management
Project Management
$57.75 - $86.62/hr
Bachelor of Science
1,001-5,000

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Data Operations Analyst Job Market

Who's Hiring

Amazon
Amazon9 open roles
AHOLD Delhaize
AHOLD Delhaize5 open roles
Oscar Management Corporation
Oscar Management Corporation4 open roles

Top Industries Hiring

  • Technology & Software18
  • Retail9
  • Insurance5
  • E-Commerce & Online Marketplaces4
  • Science & Research3

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, AHOLD Delhaize, and Oscar Management Corporation, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 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 54% of data operations analyst openings are fully remote or hybrid as of August 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.

See All 141+ Data Operations Analyst Jobs

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