Senior BI Developer providing strategic data analysis and insights for MVNO and MNO clients. Involves data pipeline development, machine learning, and customer-centric reporting.
Responsibilities
Work directly with customers to understand their business challenges and translate them into data-driven analytical problems.
Design, build, and maintain data pipelines to collect, clean, and transform large datasets from our OSS/BSS platforms into a usable format for analysis.
Apply statistical analysis, machine learning, and AI techniques to customer data to identify trends, predict churn, segment subscribers, and optimize pricing strategies.
Create and present clear, compelling reports and dashboards that communicate these insights to both technical and non-technical stakeholders.
Support the migration of customer data to Azure Data Lakes or other cloud-based solutions.
Develop and deploy AI/ML models to automate trend detection and predictive analytics.
Participate in all stages of the professional services delivery process, including requirements gathering, solution design, implementation, and post-go-live support.
Work closely with our development and product teams to share insights and contribute to the evolution of our platform's data capabilities.
Requirements
Extensive experience with SQL for data extraction and querying, including performance optimization.
Proven ability to work with large, complex datasets and perform exploratory data analysis (EDA).
Experience with data visualization tools such as Power BI, Tableau, Grafana, or equivalent.
Familiarity with cloud data platforms, specifically Azure Data Lake and related services (e.g., Azure Data Factory, Databricks).
Solid understanding of statistical modelling, machine learning algorithms (e.g., clustering, regression, classification), and their application in a business context.
Excellent communication and presentation skills, with the ability to convey complex technical concepts to a non-technical audience.
Highly self-motivated, autonomous, and organized with a meticulous attention to detail.
Desirable: Experience in the telecoms industry (MNO/MVNO), with an understanding of OSS/BSS platforms, billing systems, and subscriber data.
Familiarity with Big Data technologies like Spark, Hadoop, or others.
Experience with MLOps and deploying models into production environments.
Knowledge of data warehousing concepts and data modelling.
Experience with other programming languages like Java.
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