General Motors-posted 2 months ago
Hybrid • Warren, MI
5,001-10,000 employees
Transportation Equipment Manufacturing

The Business Intelligence Data Analyst supports critical business operations and decision-making through creation of high quality, user-friendly, and automated dashboards, leverages data modeling and analysis techniques to create new organizational capabilities, and supports production operations through data discovery for risk mitigation and business action. We have a huge stake in data, and we need an authority like you to help us. A successful Business Intelligence Data Analyst demonstrates customer focus, a drive for results, and ease with ambiguous project requests and definitions; influences change, naturally accepts ownership for project deliverables, explores opportunities to add value to job responsibilities, and continues to develop critical skills and technical expertise. Projects will span across all time horizons, from early in VDP through end of production and often require integration of data across multiple functions, including Engineering, Program Management, Planning, Forecasting, Sales, and Manufacturing.

  • Collaborate with business stakeholders, IT, and analytics community to develop strategy, craft requirements, and deliver data analytics, dashboards, reports, and key performance metrics from proof of concept through production solution.
  • Analyze and create meaningful insight for business use and decisions, leveraging large amounts of data from structured and unstructured data sources.
  • Lead and support cross-functional innovation projects and integrated business solutions to enhance business stakeholder capabilities and efficiencies.
  • Provide timely and accurate responses to customer requests related to functionality, processes, and data in support of key functional systems and initiatives.
  • Recommend, create, deploy, and maintain types of reporting analytics and procedures to apply to meet stated business objectives.
  • Automate manual tasks and processes to increase efficiency and reduce errors across business operations.
  • Develop and implement data availability tools to ensure stakeholders have timely and reliable access to critical information.
  • Bachelors Degree Required
  • Minimum 2 years relevant technical experience with bachelor's degree in data analytics, engineering, computer science or related field. Experience may include college co-op work-study, internships, or new hire rotation programs.
  • Excellent knowledge of and demonstrated experience with SQL, VBA, and Python coding at a minimum; additional coding skills preferred.
  • Self-starter with the ability to influence others, working in teams and independently with customers, cohorts, and stakeholders across many different physical locations.
  • Ability to define and propose innovative solutions to business problems and projects that may begin with ambiguous requirements and requests.
  • Technical proficiency working with analytic platforms (Tableau, Microsoft BI, Cognos, KNIME Data Analytics Platform), databases and reporting tools.
  • Experience with databases and data warehousing platforms (MS Access, SQL Server and Developer, Oracle, etc.).
  • Effective time management skills to balance workload across multiple simultaneous projects and meet deadlines proactively and independently.
  • Practical knowledge of basic statistical and mathematical tools for problem solving and data analysis.
  • Ability to communicate complex concepts in simple, visual terms suitable to a wide cross-section of audiences (data storytelling).
  • Proactive and effective project management and communication skills to provide project status, progress on deliverables and risks/issues to stakeholders.
  • Supply Chain/Logistics/Purchasing experience.
  • Experience using Cognos Framework, Team Foundation Server/Azure DevOps, Jira, Service Now.
  • In-depth knowledge of mathematical methodologies and tools for advanced analytics including optimization algorithms, regressions, data correlation and predictive techniques.
  • Knowledge and hands-on experience with automated workflow tools such as KNIME and PowerAutomate.
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