Data Analyst

at  Nokia

FAMILY DESCRIPTION

Analytics (AN) covers the promoting of data science to demystify big data and unlock new business potentials from complex data sources. This covers a huge scope: from classical data gathering and business intelligence, through designing and implementing machine learning, all the way to architecting systems that automate data gathering, analytics, and integrating their outcome into other applications. Determines the foundation for data driven and fact based decision making. Provides the tools and intelligence to formulate strategies and future business development plans.

SUBFAMILY DESCRIPTION

Analytics Data Architecture & Quality (ADA) comprises the design, architecture, and development of scalable data models, test and maintain systems and processes to collect, transform, store, and enable analysis of structured and unstructured data, taking into account considerations related to privacy, security, reliability, and scalability. Contains curation of data and ensures data quality and integrity. Covers creation and maintenance of a data dictionary of all key sources and tables. Comprises documentation of key stakeholders and dependencies as well as the gathering, clarification, and translation of business and data requirements into documentations and conceptual designs from which technical solutions are developed. Contains advising of clients on appropriate data governance capabilities.

• Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security
• Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues
• Regularly review existing systems and make recommendations for improvements
• Interact with clients, provide cloud support, and make recommendations based on client needs
• Understanding and translating the business needs using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.
• Identifying and then prioritizing technical and functional requirements
• Drive automation of data collection in close cooperation with business stakeholders. Proactively leading and proposing improvement actions for continuous improvement (CI) of the data collection relate processes.Work on designing data models for innovative data visualization and predictive analytics solutions to drive proactive decision making.
• Handle various and complex (and simple) data sources and turn them into normalized database solutions.
• Design, implement visualisation in Power Platforms (Pbi etc)
• Analyse new use cases and design solution templates and prepare proposals for process improvements. Clean and transform data with use of T-SQL
• Design, implement and test ETL processes for the centralized data repository.
• Independently work and/or drive data exploration and analytics projects through various SC units.
• Act as an expert in data engineering subject for SCM through knowledge sharing and active collaboration in the performance reporting and analytics community.

KNOWLEDGE & EXPERIENCE

5+ years’ experience with 2-3 years relevant data engineering background

• Master or Bachelor’s degree in Engineering, Telecommunications, Computer Science, Software Technology or equivalent education
• 2 or more years of building and administering Infrastructure As a Service using a cloud provider like AWS, Azure, Heroku or GCP.
• Experience in designing developing and maintaining cloud-based systems, ensuring efficient data storage and adherence to security policies
• Postgres and MSSQL knowledge is preferred
• Experience working in one of the command line interfaces like Powershell, Linux, Git environment
• Working knowledge is needed in Python
• Knowledge of stream processing (Kafka Streams, Spark Streaming)
• Workflow Frameworks (Apache Airflow, NiFi, Jenkins, Kubeflow
• Good experience with Azure IaaS and PaaS
• Experience with Network transport protocols in practice
• Demonstrable analytics experience including ability to synthesize and present intelligence derived from data

Please refer the Job description for details