Research Analyst (AdTech)

Вимоги

• Intermediate proficiency in HTML and CSS
• Basic knowledge of Python for an ability to read code
• Basic level of database management skills (e.g., SQL, NoSQL databases)
• Familiarity with networking concepts (e.g., TCP/IP, DNS, VPNs)
• Ability to troubleshoot system and network issues efficiently
• Upper-Intermediate level of English

WOULD BE A PLUS 

• Experience with Snowflake
• AdTech experience (ORTB, DSP, SSP)

Професійний профайл

• Proactivity and attention to detail
• Willingness to communicate and push others to get feedback
• Ability to follow tasks through to completion, “get things done” attitude
• Being a driver

Обов'язки

• Resolve false positives and false negatives by reviewing traffic flows and verifying whether flagged items are indeed legitimate threats
• Maintain a manual list of domains for review or blocking: identify domain mismatches and cases where publishers display or report an incorrect domain
• Review action logs and raw data: check for mentions of specific platforms or evidence of malicious scripts
• Monitor alerts in the Slack channel: evaluate alerts, spot suspicious activity (e.g., bot behavior, actions a real person wouldn’t take)
• Lead research initiatives for 1–3 customer accounts, delivering specialized insight reports into threats and data quality
• Identify top customer concerns and recurring issues, then feed them back to improve product systematically
• Serve as the Research/Detection team representative in business reviews and customer calls, presenting complex analysis clearly to non-technical audiences
• Collaborate with Customer Success Engineering to deliver new customer-facing features
• Spot impactful detection leads and help drive faster mitigation of emerging threats in products
• Develop stop-gap defenses for novel threats through analyses, models, algorithms, and dashboards
• Build complex queries and reports (sub-queries, temp tables, complex joins, variables) to analyze historical data
• Improve existing techniques and tooling to reduce time-to-detection and increase operational efficiency
• Document models, algorithms, and analyzes to ensure visibility, transparency, and auditability of work