Business Intelligence and Data Warehousing Manager
Found in: Whatjobs IN C2 - 2 weeks ago
Key Responsibilities:· Primarily responsible for the successful delivery of client engagements and initiatives.·
Leading a team of BI and Analytics professionals.·
Provide subject matter expert input and advisory role input to client engagements as required – strategy and solution advisory, technical resource management, client workshop facilitation and overall engagement management.·
Support business development activities, grow your network and contribute to our proposal development process as required – identify and develop relationships with new and existing business units.·
Design, develop, and maintain the data warehouse and analytics architecture to meet business analysis and reporting needs, where the scale and reliability of a modern distributed system is at the heart.·
Ability to understand business needs and apply analytical concepts to generate actionable business insights.·
Should also be able to handle assigned tasks in the capacity of individual contributors.·
Collaborating and mentoring the team of data analysts to provide development coverage, support, and knowledge sharing.· Understand client’s priority areas and business challenge to recommend solutions.·Setting goals and driving the roadmap for the business intelligence team
Essential Skills:·
10-12 years of work experience, in the area of Business Intelligence, ETL and Data Warehousing.·
Extensive knowledge of at least 2-3 years in Snowflake.·
Hands-on experience of using database methodology, data analysis, advanced SQL queries, ETL and business intelligence applications.·
Hands on experience in multiple ETL platforms like Talend, Alteryx, Informatica.·
Must have implemented multiple Data warehousing projects from the design phase.·
Should be well versed with databases like PostgreSQL, MySQL, MS SQL.·
Experience in working with various data sources: Web Services, application API, XML, Relational Databases, Document Oriented NoSQL databases, etc.· Experience with big data storage and query engines like AWS Redshift, Big Query· Experience with cloud infrastructure providers like Amazon AWS, Google Cloud or Azure· Excellent analytical skills with an ability to analyze the data, but also drive the implementation of the recommendations.· Strong experience of people management and project management.·
Excellent verbal and written communication skills.
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