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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Position Summary:
Under the direction of the Director of Systems, Data, and Assessment, the Systems and Data Operations Analyst helps maintain the data infrastructure and reporting pipelines necessary to assess student engagement, student outcomes, and overall impact of the Wasserman Center. Help manage the department’s core platforms (e.g., Handshake, uConnect), oversee processes to ensure the accuracy and security of user data within platforms, and prepare data for our team to generate actionable insights for cross-functional teams to shape our programs, services, and employer engagement strategies. Participate in the evaluation of new software, support implementation plans, and monitor the landscape of AI and emerging relevant technologies to solve complex problems and keep our digital ecosystem current.
Qualifications
Required Education:
Bachelor's Degree or equivalent combination of education and experience.
Required Experience:
3+ years of relevant experience in systems administration, data management, or educational technology. Experience with file management, and troubleshooting software platforms. Experience partnering with data, software, or IT teams. Ability to ask the right questions and challenge assumptions. University experience preferred.
Required Skills, Knowledge and Abilities:
Excellent written and verbal communication skills. Strong command of Excel/Google Sheets and a foundational understanding of relational databases. Rigorous attention to detail and data integrity. Intellectual curiosity regarding the evolving workforce and a strong interest in how emerging technologies impact the recruitment landscape. Ability to think proactively, take initiative, and solve complex problems. Collaborative team player with the ability to manage recurring operational tasks alongside project-based work. Experience with Handshake or other CRM platforms.
Preferred Skills, Knowledge and Abilities:
Knowledge of data visualization tools (e.g., Tableau/Tableau Prep). Familiarity with or interest in learning data wrangling tools (e.g., SQL, Python) or automation workflows. Understanding of trends in emerging technology within higher education or human resources.
Additional Information:
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $70,000.00 to USD $75,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.
Position Summary:
Under the direction of the Director of Systems, Data, and Assessment, the Systems and Data Operations Analyst helps maintain the data infrastructure and reporting pipelines necessary to assess student engagement, student outcomes, and overall impact of the Wasserman Center. Help manage the department’s core platforms (e.g., Handshake, uConnect), oversee processes to ensure the accuracy and security of user data within platforms, and prepare data for our team to generate actionable insights for cross-functional teams to shape our programs, services, and employer engagement strategies. Participate in the evaluation of new software, support implementation plans, and monitor the landscape of AI and emerging relevant technologies to solve complex problems and keep our digital ecosystem current.
Qualifications
Required Education:
Bachelor's Degree or equivalent combination of education and experience.
Required Experience:
3+ years of relevant experience in systems administration, data management, or educational technology. Experience with file management, and troubleshooting software platforms. Experience partnering with data, software, or IT teams. Ability to ask the right questions and challenge assumptions. University experience preferred.
Required Skills, Knowledge and Abilities:
Excellent written and verbal communication skills. Strong command of Excel/Google Sheets and a foundational understanding of relational databases. Rigorous attention to detail and data integrity. Intellectual curiosity regarding the evolving workforce and a strong interest in how emerging technologies impact the recruitment landscape. Ability to think proactively, take initiative, and solve complex problems. Collaborative team player with the ability to manage recurring operational tasks alongside project-based work. Experience with Handshake or other CRM platforms.
Preferred Skills, Knowledge and Abilities:
Knowledge of data visualization tools (e.g., Tableau/Tableau Prep). Familiarity with or interest in learning data wrangling tools (e.g., SQL, Python) or automation workflows. Understanding of trends in emerging technology within higher education or human resources.
Additional Information:
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $70,000.00 to USD $75,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.
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Find Data Operations Analyst JobsData Operations Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon32
- TikTok26
- Google20
- DoorDash18
- Apple15
Top Industries Hiring
- Technology & Software402
- Consulting & Professional Services86
- Investment & Asset Management72
- Electronics & Hardware68
- Biotechnology & Pharmaceuticals62
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, TikTok, and Google, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 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 37% of data operations analyst openings are fully remote or hybrid as of June 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 1,291+ Data Operations Analyst Jobs
Jump back to the full list of openings and apply to any data operations analyst role that fits.
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