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Job Category : Information Technology & Services
Duration : Long-Term
Big Decisions Sales Analytics
Oracle Data Integrator
MS Power BI
Architecting and designing analytics platform solution for clients
Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale
Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables.
Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableau/Superset/PowerBI
Strong understanding of data modeling, data warehousing concepts and various analytical data models
Familiarity with business domains such as healthcare
Migration experience highly preferred
Azure Cloud experience highly preferred
Perform research with new technologies and third-party vendor technologies as required and prototyping Design, develop and implement analytics based on the discussions with the team.
Programming skills in generic analytic platforms using Python/ Java/ Scala
Skills & Experience:
A minimum of 10+ years of experience with complex/large enterprise BI/ETL/Data Warehouse projects, Big Decisions Sales Analytics a.k.a. Redshift and Databricks Platform
Experience in Designing and architecting Data and BI solutions related to one or more of the following: data quality/data governance assessments, data strategy and roadmaps, integration scoping (requirements, design and mapping), Data warehouse and Data Lake design and implementation.
Ability to perform Information Management assessments (review of needs, data quality, data security, etc.) and accurately estimate the implementation effort
Awareness of emerging Data warehouse design approaches and the potential future impact to data warehouse architecture.
Advanced knowledge in Data warehouse dimensional modelling. Hands on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS etc.
Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS etc.)
Hands-on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools. (e.g. SAS, R etc.)