Data Analytics Technical Lead Job in Pleasanton, California US
Data Analytics Technical Lead
The Analytics Technical Lead is a new position in the Care Delivery BIO organization within Kaiser Permanente IT. The position will be responsible for designing and implementing tactical as well as strategic analytics solutions that meet national and regional business intelligence needs. The individual will also be expected to investigate and find innovative data analytics and BI technologies that are appropriate for care delivery business needs. The role will need to work in close collaboration with other members of the Care Delivery BIO organization, infrastructure management group as well as business customers and partners. Essential Functions: - Define best practices and guidelines for care delivery data analytics - Evaluate and select innovative data analytics technologies appropriate for care delivery business needs - Analyze early-stage business requests and perform feasibility, scope, effort and funding analysis - Design and implement high-performance, scalable and flexible analytics solutions that meet national and regional reporting and BI needs - Define and model solution architectures - Work in close collaboration with other members of the Care Delivery BIO organization, infrastructure management group as well as business partners during solution design and delivery - Create logical and physical data models - Design and implement data warehouses/data marts - Create business and clinical intelligence reports where needed by business partners - Specify data integration solutions where needed Qualifications: Basic Qualifications: - Bachelor's degree in a related field and/or a minimum of 4 years of equivalent experience. - 10+ years of technical experience in data analytics and business intelligence, including five years in architecture and solution design - Ability to define and document best practices for data analytics - Ability to specify data analytics infrastructure requirements, evaluate and select infrastructure solutions - Ability to determine feasibility, scope, level of effort and level of funding for early-stage business requests - Experience with architecture modeling using UML, Visio and modeling tools - Deep hands-on experience in database design (logical and physical), query design, data warehousing, data marts, operational data stores, data modeling, architecture modeling, database management/administration and business intelligence (BI) - Hands-on experience in using and managing multiple RDBMS, including Oracle, Microsoft SQL Server, IBM DB2, Teradata or/and others - Solid understanding of high-performing database design techniques - Experience in developing SQL and non-relational queries with sound understanding of query optimization - Experience in implementing high-performance data warehouses/data marts - Experience in logical and physical data modeling using ERD and UML, including solid understanding of data normalization, dimensional modeling and non-relational data models - Experience in producing different type of reports, such as executive dashboards, static reports, multi-dimensional reports, ad-hoc reports. Experience with different BI reporting tools, including SAS, Business Objects, Crystal Reports, Cognos - Experience developing applications that access data in a variety of databases - Experience with meta-data management tools, as well as data quality and data profiling tools - Solid knowledge of data integration using data virtualization, ETL, web services, file transfers and/or message queuing, with hands-on experience using related technologies from Informatica, Composite Software, Denodo, IBM or/and others - Sound understanding of data architecture best practices, including high-performance and scalability design - Strong problem solving and analysis skills - Strong communication, inter-personnel and collaboration skills. Proven team player. - Experience with agile and traditional project delivery methodologies Preferred Qualifications: - Experience with in-memory databases, non-relational databases, NoSQL and latest Big Data platforms such as Apache Hadoop - Experience with predictive modeling, data mining and statistical analysis - Experience with semantic analytics technologies - Knowledge of the healthcare business - Experience working for large organizations