RESPONSIBILITIES:
Kforce has a client local to Milwaukee that is seeking a contract to hire Senior Data & Analytics Engineer to support a variety of projects. This role would be in a hybrid setting, working 2 days in the office and 3 days remotely.
Responsibilities:
* Data Architecture: Specialize in data modeling, both 3NF and dimensional, with experience in conceptual, logical, physical, and industry data modeling
* 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
* Develop and validate source to target mappings and transformation logic required to support business needs
* 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: Play a critical role in architecting our data and analytics solution landscape
* Data Delivery: 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)
* 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
REQUIREMENTS:
* 10 years of experience, ideally
* 3-5 years of experience in Data Solution delivery in a complex environment working collaboratively in a team setting
* Data modeling experience
* Data Architecture experience
* Collaborative personality - works well with the team
* Ability and want to mentor and coach others - not a leadership role but seen as a more senior
* Strong knowledge and experience with data architecture methodologies
* Understand the importance of capturing data lineage
* Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics
Proficient in Data Solution tools and concepts such as:
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.