Data Analytics Specialist

At Sony, we are looking for a Data Scientist who will help us transform large volumes of information into strategic insights to support decision-making within a global organization.

This position will be responsible for designing analytics solutions, integrating multiple data sources, including CMDB, endpoint data, identity management, and cloud environment inventories , developing executive dashboards, and generating metrics that provide visibility into trends, improvement opportunities, and operational performance.

You will work with international technology, infrastructure, and security teams, collaborating to build a comprehensive, data-driven view across the organization.

Responsibilities:

• Manage the end-to-end data lifecycle, including data extraction, transformation, cleansing, analysis, and visualization.
• Design and maintain executive dashboards using Power BI and Microsoft Fabric .
• Create scalable data models and reporting structures.
• Integrate information from multiple platforms, internal systems, and technology asset inventories.
• Analyze large volumes of data to identify trends, patterns, and opportunities for improvement.
• Develop KPIs and executive reports for global leadership teams.
• Automate analytics processes and reporting generation.
• Document data models, refresh processes, and KPI logic.
• Collaborate with global teams to understand information needs and translate them into effective analytics solutions.

Requirements:

• Experience as a Data Analyst, BI Analyst, Analytics Engineer, Data Scientist, or Data Engineer .

Strong experience with:

• Power BI (data modeling, DAX, and visualization).
• SQL for data extraction and transformation.
• Managing databases and multiple data sources.
• Experience creating dashboards and reports for different levels of an organization.
• Ability to analyze complex information and translate it into clear recommendations.
• Experience working with modern data platforms such as Microsoft Fabric, Data Warehouse, Lakehouse, or similar technologies .
• Advanced English skills for collaboration with international teams.

Nice to Have:

• Experience with Python or PowerShell for automation.
• Knowledge of cloud environments such as Azure, AWS, or GCP .
• Experience with tools such as Databricks or Snowflake .
• Knowledge of IT environments, infrastructure, or security domains ( desirable but not required ).