Join our Team

About this opportunity:

Join Ericsson as an IT Data Analyst and be part of our dynamic EIT Data and Automation, Data Engineering Chapter. In this role, you will transform complex data into actionable insights, contributing significantly to our business value creation and decision-making processes. Through advanced analytics, data modelling, and visualization techniques, you will provide recommendations for business solutions by identifying both causes and remedies for business challenges. As part of our dedicated team, you will play a pivotal role in developing our data and analytics portfolios, participating in our corporate digital transformation projects, and building data products vital to our data foundations.  This role is ideal for someone who thrives at the intersection of data analytics and engineering and can transform complex data into impactful business insights.

What you will do:

• Design, develop, and optimize scalable data pipelines .Write and optimize complex SQL queries for data extraction, transformation, and analysis across various platforms. Manage and maintain cloud-based data infrastructure and architecture. Integrate data from disparate sources and ensure data quality, consistency, and integrity across systems. Continuously monitor, evaluate, and improve data performance.
• Lead in defining and understanding business data and analytics requirements.
• Perform data analytics tasks, such as collecting, processing, evaluating, and aggregating data from various sources for analysis.
• Collaborate with data architects and engineers to build datasets and identify needs for new data objects to enhance analytics outcomes.
• Validate data model logic and algorithms from a business perspective, while ensuring the results of data analysis are robust and reliable.
• Interpret, visualize, and present the results of your data analysis, providing actionable insights for business.

The skills you bring:

• PySpark, SQL, Power BI, Snowflake, Microsoft Fabric, and Azure cloud technologies
• Hands-on experience with Snowflake, Microsoft Fabric, and Azure Data Services (e.g., Data Lake, Synapse, Databricks). Strong understanding of data warehousing concepts, ETL frameworks, and big data technologies
• Excellent problem-solving skills and ability to translate complex data into simple narratives for business stakeholders.
• Partner with data scientists, analysts, and business leaders to support advanced analytics and decision-making processes.
• Senior Data Analyst with 10 - 15 yrs of strong data engineering/analyst capabilities