Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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At Nokia, the Sales Operations team supports business leaders with actionable insights, analytics, and reporting. As our digitalization journey continues, we are simplifying reporting, integrating multiple data sources, automating manual activities, and exploring new opportunities enabled by AI and advanced analytics.
As a Digitalization Specialist, you will contribute directly to this transformation. Your primary focus will be developing and maintaining Power BI reporting solutions, preparing and modelling data, and identifying opportunities to make existing processes more efficient through automation.
This is an excellent opportunity for someone with initial experience in business intelligence or data analytics who enjoys solving problems end-to-end and wants to develop further in a global environment.
This is a Future Opportunity posting. While we may not have an immediate opening, we are building a talent pool of interested candidates for upcoming positions. If your profile matches future business needs, our recruitment team may contact you regarding next steps.
Location: Hybrid in Timisoara, Romania
Must have:
Nice to have:
Develop, maintain, and continuously improve Power BI dashboards and reporting applications that support business decision-making.
Work with business analysts and stakeholders to understand reporting requirements and translate them into clear, efficient, and scalable solutions.
Take ownership of reporting tasks from requirement clarification through development, testing, deployment, and ongoing maintenance.
Acquire, clean, transform, and structure data from multiple sources using Power Query and data-modelling best practices.
Build and maintain effective data models
Perform data validation and troubleshooting to ensure reporting accuracy, consistency, and reliability.
Identify repetitive or manual activities and propose opportunities for automation and simplification.
Learn and work with platforms such as Salesforce, SAP/ERP systems, and other internal data sources.
Collaborate with more experienced team members on larger digitalization, data-platform, automation, and AI initiatives.
As your skills develop, contribute to prototypes and use cases involving advanced analytics and AI.