Position- Senior Business Intelligence Engineer

Location- Milwaukee, WI

Duration-6 Months 

In this role, the BI Engineer will be responsible for: 

·         Executing and facilitating 4-8 concurrent BI Projects, as well as ongoing pre-sales support.

·         Maintaining a solid understanding of traditional enterprise data warehousing and next generation data platforms to meet use case specific requirements of multiple vertically aligned customers.

·         Facilitating data platform discussions and working with data owners to define and understand business requirements of a future state Enterprise Data Platform.

·         Understanding of disparate data sources and integrating them into a meaningful platform to support reporting and analytical needs of customers and audiences. 

·         Understanding of complex data relationships and business requirements that formulates new technologies to reduce overall cost and ROI for customers.

·         Ability to present and communicate between all levels of an organization that would include C-Level Executives, Directors, Management, Analysts, Business Users, etc.  

·         Strict understanding of traditional Kimball / Inman architecture designs and Data Modeling efforts.

·         Articulating data definitions, content domains, data classes, subject area classification, and conformed dimensions.

·         Experience in collecting, maintaining, and publishing corporate data models related to database architectures.

·         Enforcing data governance standards, policies, and procedures for the design and proper use and care of a customer’s data sets.

·         Developing, managing, and updating data models, including physical and logical models of traditional data warehouse, data mart, staging area, and the operational data store and source system designs.

·         Understanding a company's transactional systems and data sources and identifying gaps in business processes and recommend solutions to close those gaps.

·         Assisting in the design of a company's data extraction, staging and loading to a data warehouse processes to ensure that data is as consistent, clean and accurate as possible.

·         Acting as a key business partner to the company's Data Management Team and developers, to design solutions to correct problems, increase efficiency and performance, as well as recommending best practices for a next generation data platform that supports and drives reporting and analytic needs.

·         Developing technical documentation including requirements documents, process overviews, data models /data flows from source to target, and design specifications

QUALIFICATIONS:

·         Bachelor's degree in Computer Science, Engineering, or related field (MS Candidates Preferred)

·         5+ years of experience in Enterprise Data Warehousing, Architecture and Analytics

·         5+ years of data integration and architecture

·         5+years of data integration and non-traditional data platforms

·         5+years of design and implementation of enterprise-level data platforms that support a variety of business intelligence initiatives.

·         Hands on experience with data modeling software tools 

·         Strong grasp of advanced SQL writing and query tuning / optimization 

·         Strong documentation skills 

·         Strong written / oral communication and organizational skills 

·         Excellent communication skills and ability to articulate modern data integration strategies

·         Excellent problem solving skills

·         Excellent relationship building skills

·         Excellent white boarding skills

·         Ability to educate and knowledge transfer

·         Team player and collaborator

·         Experience in code migration, database change management and data management through various stages of the development life cycle

·         Understanding of architecture of next generation HA / DR Data Platforms

REQUIRED TECHNOLOGY STACK:

·         Database Experience – Oracle, DB2, MS, Netezza, GreenPlumb

·         BI Tools – Tableau, Qlik, Business Objects, Essbase, Microstrategy, Cognos, PowerBI, BOBJ

·         Modeling Tools – Erwin, Embarcadero

·         ETL Tools – Alteryx, Informatica, Talend, SSIS, DataStage, Pentaho

EXPOSURE PREFFERRED:

·         Hadoop – IBM BigInsights, Cloudera, Horton Works, MapR

·         Cloud – IBM (DashDB), AWS (Amazon Web Services), Microsoft (Azure)

·         Predictive Analytics – Python, R, Jupiter Notebooks

·         Statistical Modeling – Linear Regression, Decision Tree, Neural Network, Logistic Regression