Location: Remote
Your expertise:
3+ years in BI, data analytics or reporting, including experience supporting operational or customer-facing teams
Strong SQL for querying and combining data from multiple systems, including window functions and query optimisation on large tables
Proficiency with a BI / visualization tool (preferably Tableau)
Data investigation mindset: able to reconcile conflicting numbers, find the root cause of an incorrect metric, and document the agreed definition afterwards
Careful handling of personal, payment and support data, with an understanding of privacy and compliance constraints and of audit-ready evidence gathering
Clear communication skills: able to turn a vague request into a precise data specification, present findings to non-technical stakeholders, and manage a high-volume, mixed-priority request queue
English: strong B2 or higher
AI skills (required):
Practical experience using generative AI / LLM tools (e.g. Claude, Cursor) to accelerate SQL writing, data investigation and documentation, including validating AI-generated queries, mappings and results before they inform decisions
Awareness of AI limitations, data privacy, and responsible-use considerations when working with customer, payment, and support data
Will definitely be a plus:
Python for automating recurring extracts and deeper analysis
Familiarity with a modern data stack (dbt, Trino/Iceberg, Airflow), including migrating legacy MS SQL logic into it and documenting metrics in a business glossary or data catalogue
Experience with customer support or contact-centre platforms and chatbot analytics (chat, email, ticket and bot-intent data)
Domain experience in domains / hosting, or in trust & safety, anti-fraud and anti-abuse analytics
What’s in it for you?
Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
Decent market rate compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
Support of personal and professional development
coverage of costs of external trainings, conferences, professional literature
support of experienced colleagues
in-house events and trainings
regular knowledge sharing in teams
English classes and speaking clubs
Life-balance support
25 working days of vacation
5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
Own and develop the Customer Support analytics suite in Tableau: load and quality monitoring, agent and department performance, email and chat engagement KPIs
Build and maintain self-service parameterised reports in the internal Report Server tool
Maintain reporting for the People and IT Recruitment teams: ATS and applicant-history dashboards, recruitment and internal-mobility KPIs
Build, optimise and troubleshoot the SQL and ETL layer behind these reports
Automate recurring manual extracts and reports, and quantify business impact of incidents, such as financial-loss calculations for post-mortems
Partner directly with Customer Support, Legal & Abuse, Risk, Finance and People stakeholders: turn vague requests into precise data specifications and present findings to non-technical audiences
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 1
