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Data Ops Analyst

· Job Posted February 20, 2026
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Job Description

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. We're looking for a Mid Data Operations Analyst to join our client's Data Operations team to ensure predictable, accurate and timely delivery of data to internal stakeholders and our customers. In this role, you’ll become a vital link between our Commercial strategy and technical execution, translating complex customer needs into actionable data solutions. You will have the opportunity to collaborate with Data Science, Engineering, Insight Analysts, and clients directly. Antenna, our client, is a remote-first company, and we are looking for candidates who can work during US business hours. You will report to our VP Data Operations.

Job Responsibility

  • Investigate anomalous data to make a judgment call on whether trends represent data quality errors or real-world events
  • Act as the first responder for data issues and inquiries
  • Educate commercial stakeholders about data definitions and nuances
  • Manage updates to QA tests and dashboards to streamline ongoing QA checks
  • Investigate data restatements and data science models
  • Coordinate data fixes in partnership with Engineering and Data Science teams and data vendors
  • Perform data quality investigations to understand why Antenna data does not align to customer’s first party data
  • Present findings to customers directly
  • Run new coverage feasibility, and propose solutions to update methodology and pipeline capabilities
  • Coordinate monthly data releases in Looker, and weekly data releases via ad hoc reports

Requirements

  • 4+ years of hands-on experience in data-focused roles
  • Expert in SQL, Excel, DBT and business intelligence tools (e.g. Looker, Redash)
  • Proven ability to organize, analyze and vet large volumes of data
  • Strong communication and stakeholder management skills
  • Self-starter with the ability to carry multiple initiatives, prioritize time and resources, and meet deadlines
  • 4-6 years of hands-on experience in data-focused roles
  • Proficient in performing advanced SQL queries
  • Track record of analyzing large datasets
  • Capable of rectifying data inconsistencies and developing scalable data quality test plans
  • Proficient in managing product lifecycles and communicating action plans and timelines to clients
  • Experience collaborating with Engineering and Data Science teams
  • Ability to think strategically and translate client requirements
  • Strong communication skills with experience in managing stakeholders
  • Proficient decision-making skills, adept at prioritizing tasks and project managing cross-functional teams
  • Efficient management of data processes and documentation

Nice to have

  • Prior experience in managing data vendors, including selection, negotiation, and issue resolution
  • Ability to mentor and supervise team members, ensuring adherence to best practices in data operations
  • Experience using automation tools and AI-driven solutions to streamline data workflows and elevate data product reliability

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