Data Broker Opt-Out Research Analyst

Job Details: Data Privacy & Opt-Out Operations
About the Job
We are looking for a highly organised, methodical and detail-oriented Analyst to research data brokers and develop clear, step-by-step processes for requesting the removal of personal information from their databases. There number of Data Brokers will be approximately 200.
Our service helps customers exercise their privacy rights by contacting data brokers and requesting that their personal information is removed, suppressed or no longer used, where applicable.
The successful bidder will be responsible for researching each data broker's website, identifying the correct opt-out procedure, documenting the process in Excel, and personally completing the opt-out process from start to finish to test and validate the documented procedure.
A key requirement of this role is that you will use your own personal information to test the complete process. This includes locating your own profile on data broker websites, submitting genuine opt-out requests, responding to verification emails, completing required steps, following up where necessary and verifying the final outcome. The reason for using your own details is around data privacy and legal issues around using other people’s data.
This is a hands-on operational job that combines online research, practical testing, process analysis, written documentation and performance tracking.
Excellent written and spoken English is essential. You must be able to understand website instructions, communicate professionally with data brokers, complete forms accurately and document processes in clear, easy-to-follow English.
Key Responsibilities
1. Research Data Brokers
• Research individual data brokers and identify the types of personal information they collect, publish or process.
• Navigate each broker's website to locate its privacy policy, opt-out page, data removal form and contact details.
• Identify the available methods for submitting opt-out requests, including online forms, email, privacy portals and other specified procedures.
• Search for your own profile on each data broker's website, where applicable.
• Determine what information or documentation is required to submit a request.
• Identify any requirements for identity verification, email confirmation, account creation or additional follow-up.
• Record any difficulties, restrictions, unclear instructions or unusual requirements.
• Distinguish between the procedure described on the website and the process that actually occurs when a request is submitted.
2. Personally Complete and Test the Opt-Out Process
• Use your own personal information to carry out genuine opt-out requests and test each broker's process in practice.
• Follow the complete process, from locating your profile and identifying the correct removal method through to submitting the request and checking the outcome.
• Complete online forms and send emails to the appropriate privacy or support contacts.
• Respond to confirmation emails and complete required verification steps in accordance with company guidance.
• Monitor responses and follow up when necessary.
• Record the time required to complete each action and the waiting time between steps.
• Document additional requirements, unexpected delays, unsuccessful attempts and any differences between the stated and actual process.
• Verify whether the request has been acknowledged, accepted, completed, rejected or requires further action.
• Where possible, verify that the relevant personal information has been removed or suppressed.
• Record cases where no profile is found, a request cannot be submitted or the outcome cannot be independently verified.
Applicants must be comfortable using their own personal information for this testing activity. This requirement will be explained clearly during recruitment.
The company will provide guidance on acceptable testing practices, the handling of personal information and any identity verification requirements. Analysts must not provide identity documents or other sensitive information beyond what is authorised under the agreed procedures.
3. Document Processes in Microsoft Excel
• Create and maintain a structured Excel spreadsheet covering each data broker and its opt-out procedure.
• Document the complete process in numbered, step-by-step instructions that another team member can follow without additional guidance.
• Include relevant website URLs, contact email addresses, form links, required information and submission instructions.
• Record the information required at each stage, including email verification, identity verification and any additional actions.
• Record the estimated time required for each step and the actual time taken during testing.
• Track submission dates, response dates, waiting periods, follow-up dates and overall turnaround times.
• Record the status of each request and the final outcome.
• Document any problems, exceptions, troubleshooting steps and additional requirements.
• Maintain accurate, consistent, well-organised and up-to-date records.
The documentation must be practical and easy to follow. Another team member should be able to use the spreadsheet to complete the same opt-out process without having to repeat the initial research.
4. A workflow of the Opt out process for each Data Broker
• Create a simple opt out process workflow in a JSON file based on the above activities. You may use AI to speed up time.
5. Measure and Improve Processes
• Compare estimated completion times with actual observed timings.
• Distinguish between active working time and elapsed waiting time.
• Measure the time taken to locate a profile, complete a form, send an email, respond to verification requests and complete follow-ups.
• Identify which steps require the most time or effort.
• Highlight brokers with complicated, unreliable or unusually lengthy opt-out procedures.
• Identify opportunities to simplify, standardise or improve the process (where applicable)
• Recommend ways to make future opt-out requests more efficient.
• Update documented procedures when websites, forms, contact details or requirements change.
5. Communicate and Report Findings
• Write clear, professional emails to data brokers.
• Communicate findings, delays, problems and completed work to the internal team.
• Produce concise progress updates and summary reports.
• Explain complicated processes in straightforward English.
• Raise any uncertainty about privacy requirements, identity verification or authorised testing before proceeding.
• Maintain professional and courteous communication when dealing with external organisations.
Expected Deliverables
The successful candidate will be expected to produce the following:
1. Data Broker Research Register
An Excel register containing each broker's name, website, country or market, relevant contact details, privacy policy and available opt-out methods.
2. Documented Opt-Out Procedures
Clear, numbered, step-by-step instructions for each broker, including links, required information, submission methods, verification steps and follow-up requirements.
3. Tested Opt-Out Processes
Practical evidence that the documented procedure has been followed using the analyst's own personal information, including any verification steps and follow-up actions.
4. Timing and Performance Records
A record of estimated and actual processing times, active working time, elapsed waiting time, response intervals and overall completion time.
5. Outcome and Verification Records
A record of whether the request was submitted, acknowledged, accepted, completed, rejected or remains outstanding, including the method used to verify removal where possible.
6. Exceptions and Recommendations
A record of unsuccessful attempts, missing profiles, complicated procedures, unexpected requirements and recommendations for improving the process.
The overall objective is to build a reliable library of tested procedures that the wider team can use to carry out data broker opt-out requests consistently and efficiently.
7. Workflow in JSON format
Each Data Broker process will have a corresponding workflow in JSON format. We ill provide an example can AI can be used for this.
How Success Will Be Measured
Performance will be assessed based on:
• The accuracy and completeness of the Excel documentation.
• The clarity of the written procedures and professional quality of emails.
• The number and proportion of assigned brokers researched and tested, taking into account the complexity of each process.
• The quality and completeness of the evidence recorded for each process stage.
• The accuracy of estimated and actual processing times.
• The ability to identify and resolve issues and document exceptions.
• The quality of final outcome verification.
• Consistency, productivity and adherence to agreed data protection and testing procedures.
Success is measured by the quality and completeness of the work, not simply by the number of forms submitted. A broker with a complicated or unsuccessful opt-out process must still be documented accurately.