Apply for Data Analyst Consultant Job

6 to 8 Years Relevant Experience

• Lead both the technical and functional aspects of the project, balancing hands-on technical work and strategic planning.
• Demonstrate deep Microsoft Azure product knowledge, including an understanding of its features and capabilities.
• Design, develop, and implement data models at the conceptual, logical, and physical levels.
• Own the end-to-end Data Architecture and Lifecycle, managing non-functional requirements and operational considerations.
• Apply industry-recognized data modeling patterns and standards to the solutions.
• Understand overall IT system design, with a focus on networking, authorization/authentication protocols, data security, and disaster recovery.
• Stay up to date with the latest data processing technologies (e.g., Apache Spark, Databricks).
• Apply expertise in MDM, metadata management, data quality, and data lineage tools.
• Implement cloud security and identity best practices to ensure secure data handling.
• Utilize a deep understanding of ETL and ELT tools to optimize data transformation processes.
• Architect complex solutions on the Microsoft Azure cloud stack (IaaS, PaaS, SaaS), ensuring they are fit-for-purpose and scalable.
• Leverage best practices in architecture design, including Domain Driven Architecture, multi-tenancy, and microservices.
• Exposure to other cloud solutions like Google Cloud and AWS is advantageous.
• Preferred hands-on experience in application platforms like .NET, Python, Java, and understanding of big data concepts and NoSQL technologies.
• Experience in data modeling for both structured and unstructured data (Data Lake and NoSQL databases).
• Fluent in modeling approaches such as Star, Snowflake, 3NF, and Data Vault.
• Strong experience working with data using SQL, Python, and Scala within Microsoft-based resources like Azure Synapse and Data Lake.
• Advanced SQL skills and experience working with relational databases.
• Conduct research and analysis to develop complex analytical modeling tools and systems.
• Independently handle complex issues related to data management, analytics, and design principles with minimal supervision.
• Collaborate with data scientists, engineers, and analysts, integrating seamlessly into a collaborative team environment.
• Ability to balance short-term and long-term goals, making both tactical and strategic decisions.
• Strong communication skills, capable of explaining complex technical concepts to non-technical audiences.
• Excellent organizational skills, with the ability to adapt quickly to changing priorities in a fast-paced environment.
• Stay up to date with emerging cloud technologies and trends.
• Provide leadership both as a technical leader and as an individual contributor.
• Develop and manage processes supporting data transformation, structures, metadata, dependency, and workload management.
• Assist in planning and execution, guiding the team to achieve daily and sprint goals.
• Create clear and comprehensive documentation for project deliverables and artifacts.
• Identify and communicate risks to the product owner and team.
• Educate customers on how proposed technology solutions will meet their needs.