Job Description
Job Description
We are hiring a Data Analytics Engineer to join our team in Milwaukee, WI on a hybrid basis.
Technology Experience :
- Minimum of 3-5 years of experience in Data Solution delivery in a complex environment working collaboratively in a team setting
- Business Intelligence tools : Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx
- Database : SQL Server
- Data Query tools : SQL, T-SQL
- Data Management and Quality : data mapping, data profiling, metadata repository, relational data modeling, master data management
- Data Modeling : ER / Studio Data Architect, 3NF and dimensional modeling
- Data Warehousing concepts : Inmon, Kimball, Data Lake
- Data Integration concepts and strategies : EII, ETL, EL-T and EAI
Nice to Have Experience :
Snowflake
Data Architecture Experience :
Specialize in data modeling, both 3NF and dimensional, with experience in conceptual, logical, physical, and industry data modeling.
Strong knowledge and experience with data architecture methodologies.
- Apply the appropriate level of modeling theory, pattern recognition, and abstractions to architect and design a pragmatic solution that functionally meets the business and technical requirements.
- Partner with internal business units to define information requirements and translate them into appropriate data solutions.
- Collaborate with IT and business partners to lead data discovery, profiling, analysis, and quality assessments in order to obtain clear information requirements.
- Develop and validate source to target mappings and transformation logic required to support business needs. Understand the importance of capturing data lineage.
- Architect, implement and verify end-to-end data solutions.
- Develop test plans needed to ensure a quality deliverable. Participate in validation testing, coordinate user acceptance testing and training to ensure the final implementation enables the user to solve their business problem.
General Data Management Experience :
- Play a critical role in architecting our data and analytics solution landscape
- Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics.
- Demonstrate ability to perform appropriate level of strategic thinking by viewing initiatives both within the immediate project context as well as the overall architectural vision.
- Participate and / or Lead in data architectural design and strategy discussions.
Data Delivery Experience :
- Work with the business users to conduct data discovery engagements and can quickly identify, and prototype, a solution that brings together multiple data sources into one coherent concept and understanding. (data blending)
- Leverage existing tools to create data visualizations and mentors the business to be self-sufficient.
Collaboration Experience :
- Identify and communicate project risks and impediments and proactively work with other members of the Analytics team to complete high-value deliverables as identified by business partners and team leadership.
- Partner with Analytics team members to translate business and functional requirements into technical designs
- Strive to understand the data consumption needs of the business community, as well as the problems faced by business users involving the access and use of data
- Help Analytics teams develop solutions that enable businesses to capitalize on business insights and drive toward gaining a competitive advantage
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