Data Visualization Engineer Jobs in New Jersey (NOW HIRING)

PowerBI Data Visualization Developer

Princeton, NJ

6 weeks to start and up to 20 weeks

General Overview / Description from Chapman for his team:

• Provide technical and business expertise to:
  • Lead discussions and facilitate meetings to elicit requirements and thoroughly understand business needs and issues
  • Design and develop business solution, e.g. reporting, information delivery solutions, data visualization, scorecards, and dashboards
  • Design and develop multi-dimensional and tabular models, as well as extract, transformation, and load (ETL) processes to convert operational transactional data into dimensions and fact tables.
• Make use of modern data visualization tools (such as Microsoft PowerBI)
• Participate in the design and development of enterprise wide solutions and data repositories. Make recommendations to improve the efficiency and functionality of the database, BI/DA environment and associated processes.
• Document technical solutions and deliver technical presentations to diverse audiences
• Implement high quality deliverables on time, on budget and on agreed upon scope.
• Consult with end users to refine and enhance existing BI/DA solutions.
• Promote the use and capabilities of IT BI/DA solutions and self-serve reporting in support of optimizing business operations. Identify ways in which technology can be used by the business to drive efficiencies and deliver greater value for the customer.
• Work collaboratively across IT and with business users and senior-level management users to determine information needs and effective delivery methods.
• Develop and deliver reports on an ad-hoc basis using MSBI. Develop and execute a verification and security strategy to ensure the accuracy of the data distributed in the reports.
• Proactively manage and support production solutions and processes, taking responsibility to address any issues following through to resolution. Ensure 24x7 availability of enterprise solutions. Schedule and coordinate infrastructure maintenance activities such as hardware and software upgrades and maintenance. Perform technical administration activities such as install, configure, control failover and load balancing across multiple servers and maintain security.
• Adhere to reference architecture and software development lifecycle (SDLC) standards and guidelines.
• Maintain an expertise of data management disciplines outside data analytics (data modelling, data integration, data warehousing, BI, ecosystems, industry tools, architectures and methods, harmonization, etc.).
• Build and maintain positive business relationships with business users, management and other technical groups across the organization.
• Adhere to ethical standards and comply with the laws and regulations applicable to your job function

notes:
Logistics data sources

• E1 is JD Edwards application database (Oracle)
• SeNT - Oracle or SQL database
• There is an already existing data model (DW) for logistics information. May need to be updated and SSIS based ETLs built. We will need to work with application owners and business provided BAs, ETS IT team (Chapman's team) to gather/validate requirements, identify the data model and SSIS gaps. I have added an assumption that ETS IT team can help with SSIS changes. (Chapman mentioned this).
• We will make the data model changes and create Power BI visualizations.
• Typical metrics/KPIs examples • When were items shipped out? • What is the aging of shipped out items? • Average aging

Test Admin data sources

• eReg - Ecommerce registration systems (Oracle data base) (Contains information on people who sign up for testing)
• TPOS and EVM - Voucher systems (Oracle or SQL database)
• Typical metrics/KPIs examples • YOY or CY - how many signed, how many completed, failed, how many used voucher,
• There is an existing data model but its relatively old. Will likely need to bring in data or update model. We will need to work with application owners and business provided BAs, ETS IT team (Chapma's team) to gather/validate requirements, identify the data model and SSIS gaps
• We will make the data model changes and create Power BI visualizations