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Business Intelligence Architect & Developer
4 Aug 2022
Roles & Responsibilities
End-to-end responsibility for creating, aligning, architecting and delivering Data & Business Intelligence enterprise and creating a Business Intelligence roadmap.
Deliver all architectural aspects related to Master Data, ML, Data Lakes, Business Intelligence including the end-to-end reporting and analytics capabilities.
Lead Business Intelligence reporting support, maintenance and project delivery team to deliver to the agreed upon data & reporting Architecture through facilitation, partnerships, flawless execution and focused customer satisfaction.
Deploy forward looking actionable BI & Data architecture and ensure alignment with Strategic Roadmaps, Enterprise Blueprints, and Technology Standards.
Drive proof-of-concept and industry benchmarking efforts to set strategic reference architectures that enable new business capabilities within BI scope and then deliver to it.
Drive consistency and quality of the Architecture artifacts (business process architecture, data & reporting architecture, Data Lakes, and Machine learning architecture) in partnering with Enterprise Solution Architect.
Design data models for high volume data management, real-time and distributed data process that aligns with business processes.
Identify, analyze, scope, and drive resolution to data issues such as retention issues, purging, etc.
Bring external benchmarks and inputs into decision making to keep the solution current/leading edge, thus contributing to the competitive value of Business Intelligence and Master Data Management
Research, promote and develop data, BI & ML architecture, best practices, guidelines, procedures and repeatable and scalable frameworks.
Conduct architecture assessments during feasibility, dimensioning, and technical reviews; provide in-depth architectural support during various phases of assigned projects.
Engage with Project/Program teams to ensure SDLC deliverables meet or exceed expectations.
Advise senior management on the data, BI & ML technology within business areas/regions.
Make and assume other duties and responsibilities required or assigned by management.
Adhering to the Code of Business Ethics is essential. We value honesty and integrity above all else and we expect our employees to be committed to the highest ethical standards.
Qualifications & Requirements
Bachelors degree in Computer Applications, Computer Science, Math, Statistics, or a related field is required; a Masters is preferred
10+ years experience in implementing a best practices in BI, ML, Data Lakes, Master Data Management, Data Science/Standards/Definitions, Data Quality, and Big Data.
6+ years experience in data modeling and database design, both relational and multi-dimensional
6+ years experience with data migration tools and business intelligence tools
8+ years experience in SQL, PL/SQL and other data analysis tools, relational databases, AS400, and SQL servers
Proven experience in enterprise integration with a focus on cloud computing and traditional ERP (Microsoft AX) and DW environments.
Experience with the various tools & frameworks of the Data & BI ecosystem that supports real-time analytics and actions. QLIK View/Sense and Power BI experience is desirable.
Experience with Cloud based data technologies and integration methodologies/ tools.
Experience in designing, developing, and implementing ETL and Relational Database Systems.
Experience with data mining, machine learning, statistical modeling tools or underlying algorithms.
Proven and credible business knowledge and experience in the applications that are supported across the Consumer Product Goods industry
Apply for this job now
4 August 2022
DeWolff, Boberg & Associates
I.T. & Communications