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 0% remote or hybrid, concentrated across Technology & Software, Energy, and Retail, with employers like Harvey, HARVEY, and Rivian hiring at this level now.
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INTRODUCTION
At ValueMomentum’s Technology Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
ROLE - DATA OPS ENGINEER
Skills:
- Overall 7+ years of IT experience
- Operate, Automate, Monitor and Continuously improve the Platform
- Pipeline Automation (Orchestration, Scheduling, CI/CD)
- Monitoring & Observability (Logs, health checks, SLA’s/SLO’s)
- Incident Management (Response, Comms, Resolution & RCA)
- Release & Reliability (Planning, Deployment, Rollbacks, Performance)
ValueMomentum is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We make all employment decisions based on qualifications, merit, and business needs, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are also committed to providing reasonable accommodations to qualified individuals with disabilities and applicants throughout the recruitment process, in accordance with applicable laws.
INTRODUCTION
At ValueMomentum’s Technology Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
ROLE - DATA OPS ENGINEER
Skills:
- Overall 7+ years of IT experience
- Operate, Automate, Monitor and Continuously improve the Platform
- Pipeline Automation (Orchestration, Scheduling, CI/CD)
- Monitoring & Observability (Logs, health checks, SLA’s/SLO’s)
- Incident Management (Response, Comms, Resolution & RCA)
- Release & Reliability (Planning, Deployment, Rollbacks, Performance)
ValueMomentum is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We make all employment decisions based on qualifications, merit, and business needs, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are also committed to providing reasonable accommodations to qualified individuals with disabilities and applicants throughout the recruitment process, in accordance with applicable laws.
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Who's Hiring
Top Industries Hiring
- Technology & Software10
- Energy1
- Retail1
- Automotive1
- Cybersecurity1
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 Harvey, HARVEY, and Rivian, based on current listings on Migrate Mate as of August 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 0% of mid level data operations analyst openings are remote or hybrid as of August 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 Retail, based on current listings on Migrate Mate as of August 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.