Data Quality and Operations Analyst

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona, California, +11 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $90k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

⚙️ Operations

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Zoomph

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

💰 $1.7M Seed Round on 2017-01

Marketing • Analytics • Broadcasting

Zoomph is a company that specializes in advanced analytics for social media and broadcasting. They provide comprehensive viewership insights, allowing partners to measure engagement and make informed decisions across different platforms. Zoomph sets the standard for broadcasting data and measurement, offering minute-by-minute analysis, national and local coverage, and logo detection technology. They deliver real-time social media performance and partnership data for major platforms like Instagram and Facebook, and offer detailed audience insights to identify partnership opportunities. Zoomph is well-recognized in the sports industry, providing data-driven reports for leagues, teams, and brands.

📋 Description

• Monitor and audit the health of the data powering the Benchmark (the Almanac) • QA AI-generated brand exposure detections • Coordinate human-in-the-loop review to close data gaps • Curate and maintain the tagging taxonomy as new sources and partnerships are added • Validate datasets before they enter the benchmark and reach customers • Build repeatable quality checks • Partner with product and engineering to define data-quality requirements • Generate annotation data that improves models • Report on benchmark data health so the team knows what to trust • Support dependable products, decisions, and client deliverables by maintaining accurate and organized data

🎯 Requirements

• 2+ years in data quality, data operations, analytics, or QA • Strong SQL and spreadsheet skills, with experience working with large datasets • Experience with data validation, quality assurance, or data curation • Highly organized and detail-oriented, with strong written communication • Bachelor's degree in a related field, or equivalent experience • Must be able to sit at a desk and work on a computer for prolonged periods of time • Must be able to talk, hear, see and type • Preferred: Experience with sports, media, or sponsorship data • Preferred: Familiarity with Snowflake, data lakes (e.g., Iceberg), or cloud data platforms • Preferred: Exposure to computer vision or AI data QA and human-in-the-loop workflows • Preferred: Familiarity with taxonomy or tagging systems • Preferred: Python or scripting for automating quality checks

🏖️ Benefits

• Medical insurance with HSA option • Employer-paid dental and vision coverage • Employer-paid basic life insurance • Employer-paid short- and long-term disability coverage • Employee Assistance Program (EAP) • Voluntary life insurance • 401(k) retirement plan with company match • Flexible Time Off (FTO) • Paid holidays • Paid parental leave • Remote work environment • A work environment that supports flexibility and work-life balance • Opportunities for professional growth and career advancement • A supportive environment where you can build your skills and career