Business Assurance Data Analyst

March 29

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Київстар

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Київстар is a Ukrainian telecommunications company that offers a wide range of services for private individuals, businesses, and the public sector. These services include mobile communication, home internet, television services, and international roaming. Київстар provides various packages and tariffs to suit different needs, such as SIM cards, eSIM, internet packages, and bundles combining internet, TV, and mobile services. The company also supports social initiatives, facilitates online doctor appointments, and provides technical support and customer service through multiple channels. Київстар is committed to offering quality telecommunication solutions and fostering digital connectivity in Ukraine.

Mobile operator and Internet operator

1001 - 5000 employees

Founded 1994

📡 Telecommunications

📋 Description

• We are looking for a Business Assurance Data Analyst to join our Revenue Assurance & Fraud Management team. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.