Business Assurance Data Analyst

We are looking for a Business Assurance Data Analyst to join our Revenue Assurance & Fraud Management team. Our department processes hundreds of millions of records daily, ensuring the integrity, accuracy, and efficiency of telecom business operations. You will be responsible for analyzing large datasets, detecting anomalies, developing predictive models, and optimizing revenue streams through data-driven insights.
Key Responsibilities:• Analyze large-scale data sets (hundreds of millions of records per day) to identify revenue leakages, fraud patterns, and operational inefficiencies.• Develop and implement machine learning models for anomaly detection, predictive analytics, and real-time traffic monitoring.• Optimize SQL queries for high-performance data extraction from Oracle and other databases.• Work with Python for data processing, statistical analysis, and automation.• Develop and maintain BI dashboards in MS Power BI to visualize key business metrics.• Collaborate with cross-functional teams using Jira and Confluence to track progress and document methodologies.• Utilize AWS services for cloud-based data storage, processing, and model deployment.
Required Skills & Experience:• Strong SQL proficiency (query optimization, indexing, partitioning, CTEs, window functions).• Python expertise with experience in data analysis: pandas, NumPy, SciPy.• Machine learning & anomaly detection: scikit-learn, XGBoost, LightGBM.• Time series forecasting: statsmodels, Prophet, TensorFlow/Keras• Big data processing: PySpark (optional, but a plus)• Understanding of telecom data structures (CDRs, usage patterns, revenue assurance principles).• Experience with real-time data analysis and event-driven architectures.• Familiarity with AWS services (S3, Lambda, Athena, Redshift) for cloud data processing.• Hands-on experience with BI tools (MS Power BI, Tableau, or similar).• Strong analytical and problem-solving skills.
Would be a plus:• Experience in fraud detection, revenue assurance, or telecom analytics.• Knowledge of Kafka, Spark Streaming, or Flink for real-time data processing.• Familiarity with Graph Analytics for fraud pattern detection.
Why Join Us?• Work with cutting-edge ML models and big data in telecom analytics.• Solve complex challenges with a high-impact team.• Career growth in a leading telecom company.• Access to the latest AWS, Oracle, and BI technologies.
If you’re a data-driven professional with a passion for business assurance, fraud detection, and real-time analytics, apply now! Детальніше про нас:Наш кар’єрний блог --> https://medium.com/kyivstar-careersОстанні новини про нас шукайте в LinkedIn --> https://www.linkedin.com/company/kyivstar/
Якщо в тебе залишились питання, ти можеш задати їх нам, рекрутерам Київcтар. Переходь в наш телеграм канал «Кар'єра з Київстар» і давай спілкуватись! 
Робота в Київстар, який входить до Групи компаній VEON, вимагає від нас дотримання високого рівня ділової етики, юридичних зобов'язань, наших цінностей та Кодексу поведінки групи VEON, політик і процедур Київстар. Ми прагнемо бути чесними та відкритими, що вимагає від нас діяти етично, правдиво і сумлінно. Ми розуміємо важливість захисту Ваших Персональних даних та прагнемо використовувати передовий досвід у цьому напрямку. Натиснувши кнопку «Відгукнутися на вакансію», Ви підтверджуєте, що Ви прочитали, зрозуміли та явно погодилися з нашою Політикою конфіденційності.  More about us:Discover moments of awesomeness and our careers blog --> https://medium.com/kyivstar-careersFor the latest updates follow us on LinkedIn --> https://www.linkedin.com/company/kyivstar/ Working in Kyivstar (VEON Group) demands a high standard of business ethics, adherence to our legal obligations, our values and our Code of Conduct of VEON Group and supporting compliance policies and procedures. We strive to be truthful and transparent, which requires us to act ethically, honestly, and with integrity. We understand the importance of the protection of your Personal Data and are committed to using good practices in how we handle such Data. By clicking on "Apply for this job", you confirm that you have read, understood and explicitly agree to our Applicants Privacy Policy.