Data Operations Analyst

Holly • New York, NY

7d • $80,000 - $110,000 • Onsite

About The Position

Holly is looking for a Data Operations Analyst to own the day-to-day health and integrity of our data. You'll sit in the Engineering org and be active as the connective tissue between engineering and the Deployments team, making sure the information flowing through our systems is accurate, available, and governed appropriately. This is a hands-on, high-ownership role. You'll spend your time writing SQL queries to clean data, building dashboards in Metabase, and in the operational tooling that keeps our pipelines running. This role is a strong fit for someone who is rigorous about data quality, comfortable owning process end to end, and interested in building a data function rather than inheriting one.

Requirements

• Strong in SQL. Complex joins don't bother you, and when a query returns something surprising you find out why instead of moving on.
• Administered a BI tool before, whether that's Metabase, Looker, or Tableau.
• Naturally process-driven. You catch the error in row 4,000 and have a track record of building documentation and standards.
• Can manage projects and drive results. You’re capable of getting stuff done with teammates and collaborators across time zones, while keeping stakeholders consistently and clearly informed. You write clearly, manage tightly, and communicate often.
• AI-native. You use AI in real workflows, are constantly testing new tools, and are the one your friends go to for tips.
• Experience in a data operations, data analytics, tech consulting, or business intelligence role.
• Applicants must be authorized to work in the U.S. without requiring sponsorship.

Nice To Haves

• Startup / public sector experience.
• Experience handling sensitive or regulated data is a plus.

Responsibilities

• Own how data gets in. Public records requests, agency outreach, general collection and extraction. You set the cadence, track what's outstanding, and collaborate with the deployment team to ensure client launches are set-up with the right data. This will include getting on the phone and talking to agencies as well when data is missing.
• Run the pipeline day to day. Monitor runs, resolve failures and reruns, and configure schedules, connections, and settings as data sources change.
• Own data quality end to end. Build the validation checks and monitoring that catch problems early, investigate the ones that get through to root cause, and drive fixes with engineering. When a client flags something that looks wrong, you diagnose it, fix it or route it, and tell them what happened.
• Own Metabase and the analytics work that runs on it. Dashboards, saved questions, permissions, and shared metric definitions, so the teams asking the same question get the same number. Engineering, product, and Deployments come to you for an operational question answered, an output audited, or reporting that they can run on their own.
• Do the work once, then turn repeating work into tooling. Find the repetitive work and remove it, whether that's an AI workflow you build yourself, a vendor, or a well-written ticket to engineering. Leave behind documentation, operational runbooks, and data dictionaries for the whole team + future of the data org.

Benefits

• Competitive package – $80K - $110K base with equity, comprehensive health benefits (platinum plan with vision and dental), 401(k) benefits, professional development stipend
• Collaborative work culture – join a fast-moving, high-trust team of A players that cares about the work and each other

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed