Strong Middle/Senior Data Ops Analyst (ADTECH) in Sigma Software

Strong Middle/Senior Data Ops Analyst (ADTECH) Kyiv, Kharkiv, Lviv, Dnipro, Odesa, Vinnytsia, Ivano-Frankivsk, Lutsk, Morshyn, Poltava, Sumy, Ternopil, Cherkasy, Chernivtsi, Budapest (Hungary), Burgas (Bulgaria), Warsaw (Poland), Krakow (Poland), Lisbon (Portugal), Poznań (Poland), Prague (Czech Republic), remotely The team is dedicated to protecting the internet by disrupting the economics of cybercrime. Our team builds automated detection techniques that both mitigate against known botnet operations, and are adaptable enough to find new fraud quickly and effectively across a variety of environments and threat types. We're looking for an Analyst to join our team and manage the full-cycle fraud fighting, from the early stages of exploratory research to the development of statistical detection techniques. This role is at the intersection of data, technology, and business as we aspire to deeply understand how actors perpetrate schemes and develop a powerful product to enlighten our customers. CUSTOMER The company develops and implements technologies to protect organizations and users from cyber threats such as bot attacks, data breaches, phishing, digital fraud, and more. This includes arranging activities and offerings such as Threat Detection and Prevention, Incident Response, Security Consulting, etc. PROJECT We are working with a highly dynamic AdTech ecosystem with the goal of protecting the world from malvertising. The solution is part of a portfolio that includes a variety of software products. Being our team member means being open-minded, friendly, supportive, ready to accept challenges, take responsibility, and never stop learning. Weneed to be one step ahead of attackers, which means being smarter, quicker, and looking beyond the surface. We are passionate about the people we hire to protect the internet. As the central unit driving product strategy and execution, we work closely with business, engineering, and research to coordinate all product efforts. RESPONSIBILITIES —Identify impactful detection leads that increase velocity from the time of threat identification to implementation of mitigation in our products —Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards —Deploy long-term defenses based on statistical analysis of supply chain data and fraud actor behavior —Deliver new customer-facing features through collaboration with Product and Engineering teams —Build complex queries and reports to analyze historical data, including the use of techniques suchas: sub-queries, temp tables, complex joins, and variables —Triage customer and internal inquiries about fraud efficacy by acting as the first line of analysis —Maintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process it —Create detailed documentation of models, algorithms, and analyzes to build visibility and audibility of work REQUIREMENTS — 3+years of experience asadata analyst —Strong SQL programming skills —Knowledge ofPython —Experience working with multi-TB toPB data sets incloud databases —Experience improving processes and implementing tooling to accelerate analysis —Upper-Intermediate level of spoken and written English WOILDBE APLUS —Experience in the AdTech domain PERSONALPROFILE —Strong sense of ownership that drives you to find ways todothings better, faster, and leaner —Responsibility for the quality and accuracy of your work —Ability to find new and innovative ways to tackle complex problems through meticulous experimentation and application of emerging technologies —Openness, transparency, and work in tight collaboration with other team members on data projects and cross-departmentally —Excellent communication skills and willingness to support your team. Our team develops automated detection methods that not only protect against known botnet operations, but are adaptive enough to quickly and efficiently detect new types of fraud in diverse environments and threat types. We are looking for an analyst to join our team and be responsible for the full cycle of combating fraud, starting from the early stages of investigative research and ending with the development of statistical detection methods. The whole is at the intersection of data, technology and business as we strive to deeply understand how attackers use schemes and develop a powerful product that will satisfy our customers. CLIENT The company develops and implements technologies aimed at protecting organizations and users from cyber threats, such as bot attacks, data leaks, phishing, digital fraud, etc. This includes a whole range of measures and proposals, including identifying and preventing threats, responding to incidents, advising on security issues, etc. PROJECT We work with a highly dynamic AdTech ecosystem to protect the world from harmful advertising. The solution is part of a portfolio that includes various software products. Being a member of our team means being open, friendly and friendly, ready to accept a challenge, take responsibility and never stop learning. We must be one step ahead of the attackers, which means being smarter, faster and able to go beyond the limits of what is possible. We care about the people we hire to help protect the Internet. As the central unit that manages product strategy and execution, we work closely with business, engineering, and research to coordinate all product development efforts. RESPONSIBILITIES —Identify effective detection methods that increase the speed from the moment a threat is detected to the implementation of measures to eliminate it in our products —Implement rapid protection against new threats by developing analyses, models, algorithms and dashboards —Implement long-term protection based on statistical analysis of supply chain data and fraudster behavior —Create new customer-facing features through collaboration with product and engineering teams —Create complex queries and reports to analyze historical data, including the use of techniques such as subqueries, temp tables, complex joins and variables —Distribute customer and internal fraud performance inquiries as a frontline analysis — To maintain the high quality and efficiency of the product by improving existinging methods and tools that reduce the time to understand a new source of detection and processing — Create detailed documentation of models, algorithms and analyzes to increase visibility and transparency of work REQUIREMENTS — 3+ years of experience as a data analyst — Strong SQL programming skills — Knowledge of Python — Experience working with data sets from several terabytes to petabytes of cloud databases — Experience in process improvement and implementation of tools to accelerate analysis — Upper-Intermediate spoken and written English will be an ADVANTAGE — Experience in the field of AdTech PERSONAL PROFILE — Strong sense of responsibility that motivates to find ways to work better, faster and more cost-effectively — Responsibility, accuracy and accuracy of one's work — Ability to find new and innovative ways to solve complex problems through careful experimentation and use of the latest technologies — Openness, transparency of the work of close cooperation by other team members on data processing projects and departments — Excellent communication skills and willingness to support the team