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Entry Level Brand Protection Analyst Jobs (NOW HIRING)

Hive

Data Operations Analyst

San Francisco, CA

$60K - $85K/yr

... brand protection, sponsorship measurement, and more. Hive has raised over $120M in capital from ... Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ...

Hive

Legal Operations Analyst

San Francisco, CA · On-site

$50K - $70K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... About the Role As our Legal Operations Analyst, you will assist the legal team as it partners with ...

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Entry Level Brand Protection Analyst information

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How much do entry level brand protection analyst jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for entry level brand protection analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What are typical challenges faced by Entry Level Brand Protection Analysts, and how can they be managed?

Entry Level Brand Protection Analysts often encounter challenges such as identifying counterfeit products in large volumes of online listings and staying updated with evolving infringement tactics. Managing these challenges requires strong attention to detail, the ability to quickly learn new detection tools, and effective communication with senior team members and legal professionals. Regular training and collaboration with cross-functional teams, including legal, marketing, and IT departments, help analysts stay current and improve their investigative skills. Proactively seeking guidance and sharing findings with colleagues can also ease the learning curve and foster a supportive work environment.

What are the key skills and qualifications needed to thrive as an Entry Level Brand Protection Analyst, and why are they important?

To thrive as an Entry Level Brand Protection Analyst, you need strong analytical abilities, attention to detail, and a relevant bachelor's degree such as in criminal justice, business, or a related field. Familiarity with online monitoring tools, intellectual property management systems, and basic data analysis software is often required. Strong communication, problem-solving skills, and the ability to work independently make candidates stand out in this position. These skills ensure effective detection and mitigation of counterfeit activities, helping safeguard a company’s brand reputation and assets.

What does an Entry Level Brand Protection Analyst do?

An Entry Level Brand Protection Analyst is responsible for monitoring and analyzing potential threats to a company's brand, such as counterfeit products, trademark infringements, and unauthorized use of intellectual property. They typically use online tools, databases, and investigative techniques to identify and report violations. Their work helps companies protect their reputation, maintain customer trust, and ensure compliance with legal standards related to their brand. Entry-level analysts often work alongside legal teams and more experienced analysts to develop strategies for enforcement and prevention.
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Entry Level Brand Protection Analyst jobs near you
Infographic showing various Entry Level Brand Protection Analyst job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,350 per year, or $38.6 per hour.
Data Operations Analyst

Data Operations Analyst

Hive

San Francisco, CA

$60K - $85K/yr

Full-time

Posted 5 days ago

Job description

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Data Operations Analyst

We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of our proprietary AI models leveraging our Hive Data platform to deliver high-quality training and testing datasets. Day to day, you will be managing multiple projects at a time with operational excellence by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the product development lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.

Responsibilities

  • Create, set up, and audit projects on the Hive Data platform to support internal Product and ML initiatives and power proprietary Hive Models

  • Own and execute projects by creatively identifying ways our data solutions can advance model performance, product capabilities, and internal objectives

  • Ensure projects run smoothly by managing timelines, identifying challenges, and proactively resolving issues while keeping stakeholders informed

  • Collaborate with Product and ML teams at the start of each project to understand scope, technical requirements, and success criteria

  • Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects

  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role

  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets

  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

  • Bachelor's degree

  • 0-2 years of work experience

  • You are highly organized and detail-oriented; you handle multiple priorities without missing a beat

  • You have excellent written and verbal communications skills with an analytical mindset

  • You have demonstrated success in a competitive environment

  • You are highly self-motivated and ambitious in achieving goals

  • You are a strong team player, but can work and execute independently

  • You are driven and actively seek opportunities to contribute -- no one needs to push you to excel

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $60,000 - $85,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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