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    Data Analytics Engineer - Milwaukee, United States - TEKsystems

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    Description

    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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