Analytics Engineer

Job Description

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.Nokia is an equal opportunity employer that is committed to diversity and inclusion.At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.At Nokia IT, we envision to materially improve Nokia s business performance and enhance the ways in which our customers and employees engage and collaborate. We have the ambition to deliver an extraordinary customer/user experience and strong financial and operating performance to Nokia shareholders. To reach this ambition, we are transforming into a modern, product-oriented technology organization that executes with urgency, precision and an extreme customer service focus.Position Description: Advanced Analytics Practice (AAP) Center of Excellence (CoE) plays a role in achieving Nokia s business targets and commercial strategy definition. It consists of experts with various backgrounds providing an In-house centralized resource for Nokia Business teams to bring their ideas and challenges for data analytic implementation to augment and speed decisions, reduce costs, and improve quality.In this position you will be responsible for developing and managing the next generation, global Analytics-as-a-Service environment to support Nokia business analysts as well as support our own team to deliver projects for Nokia groups without expertise. Also in scope of our CoE is to launch new services like Data Pipelining, Data Cataloging, Process Mining. The Advanced Analytics Practice team is looking for proactive members who will have a key role in its development and maintenance. This is a hands-on technical role using state-of-art Microsoft Azure and Google Cloud Platforms in a dynamic agile environment, working directly with business and data owners, architects, developers, and test engineers.Responsibilities:

• Designing & Developing operational smart, scalable, robust platforms in Azure Platforms
• Responsible for building and maintaining the business intelligent solutions from requirements, architecture, design, code development, through production deployment and post-deployment technical support
• Responsible for the overall solution design using Azure Synapse Analytics and/or Azure standalong components (ADF, ASQL DB, AAS)
• Delivering Power BI reports, dashboards, and visualization with underneath MS technology stack.
• Ability to effectively prioritize and execute tasks in global environment, with proven analytical, evaluative, and problem-solving abilities.

Qualifications: (Technical Skills, Knowledge, Education & Experience)

• 5+ years of combined experience of advanced data analytic driven projects in Azure platform
• Proficient and deep knowledge of Analytic Services, SQL Server database programming and optimization.
• Proficient with creating multiple complex pipelines and activities using Azure and On-Prem data stores for full and incremental data loads into a Cloud DW
• Background in data driving topics: ETL, Data modeling, Data warehouse & security
• Experience with Azure Analysis Services
• Experience with Azure Data services (like Azure Data Factory, Azure security model, Azure Data Lake, Cloud Dataproc, Cloud Dataflow)
• Solid programing and quering skills with T-SQL, DAX, PowerShell, C#, Python
• Experience creating Power BI reports and dashboards
• Experience working within a distributed team, following an Agile methodology with a DevOps approach using GIT or TFS

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Keyskills :
center of excellencepower bisql serverdata modelingdata servicesdata analyticsmicrosoft azureagile methodologyservice providerscommercial modelsagile environmentadvanced analytics