Data Operations Analyst, GreyScout
3-5 days a week in office
Brand protection platform
Be an early applicant
Brand protection platform
1-20 employees
Be an early applicant
3-5 days a week in office
1-20 employees
Company mission
To democratize intellectual property protection.
Role
Who you are
- University degree or relevant industry experience
- 2+ years in Data Analytics, System Analytics, QA, or a similar data focused role
- Strong aptitude for working with data and the ability to understand technical concepts
- Clear communication skills and experience building productive cross functional relationships
- High level of organisation, collaboration, and attention to detail
- A positive, empathetic attitude and a genuine desire to help customers succeed
- Interest in technology and motivation to contribute to a growing SaaS company
- Comfortable working in a fast moving, evolving startup environment
- Ability to work from the office at least 3 days per week
What the job involves
- A Data Operations Analyst supports the stability and quality of the platform by monitoring data, resolving issues, and improving how data is handled across the business
- The role works closely with Operations, Product, Engineering, and Customer Success to troubleshoot problems, surface insights, and maintain smooth day-to-day operations
- They help manage data-related costs, support scalability initiatives, coordinate with vendors, and maintain clear documentation
- The analyst ensures customers receive accurate, reliable data and that internal teams have the information and processes needed to operate efficiently
- Data Quality and Platform Performance. Monitor data, validate accuracy, troubleshoot issues, and report bugs to keep the platform stable
- Customer Support for Data Issues. Work with Operations and Customer Success to investigate customer data issues, provide guidance, and escalate when needed
- Reporting and Insights. Track data quality trends, recurring issues, and operational risks. Share clear insights with Product, Engineering, and Customer Success
- Monitor Data Related Cost. Flag anomalies, recommend optimisations, and support regular reviews to keep costs efficient
- Operational Scalability. Improve processes, data handling, and tools to support scale. Identify bottlenecks and suggest automation or workflow changes
- Requirements Gathering. Work with Operations and Product to refine requirements for new channels, features, and data sources
- Vendor Management. Coordinate with vendors. Track KPIs and contractual terms. Escalate to leadership when needed
- Process Documentation. Maintain clear, up to date documentation that supports team wide understanding
Our take
GreyScout leverages AI technology to protect brands from intellectual property infringement. It scans across marketplaces, search engines, websites and more in order to detect any potential IP violations.
Focussing on grey markets - which supply goods that have not been obtained from an official supplier - the company tackles a growing issue which has been making brand protection harder than ever. Its speedy response to this rising area of demand has paid off, with companies such as Samsung signing up for its service.
If GreyScout can continue to draw lucrative enterprise clients to its roster, then it stands to scale impressively. But to do this, it will need to continue to develop its technology.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Nov 2023
$4.1m
SEED
Total funding: $4.1m
Company HQ
North Wall, Dublin, Ireland
Leadership
John Killian
(CEO)Previously worked as Managing Director of OTA Marketing, and as Director of SprigTech.
Chris McCauley
(CTO)Previously VP of Product Strategy at Informatica, and served as CTO of Clavis Insight, Motocal.com, and Qstream.
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