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Finance Analyst – Global Manufacturing

Finance Analyst – Global Manufacturing

CompanyGeneral Motors
LocationWarren, MI, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s
Experience LevelJunior, Mid Level

Requirements

  • Bachelors degree: business, accounting, finance, economics or related
  • 2+ years of experience in finance or accounting
  • High level of oral and written communication skills
  • Demonstrated ability to manage multiple assignments and deadlines
  • Demonstrated strong analytical skills and technical aptitude
  • High level of interpersonal skills to work effectively with various groups
  • Demonstrated organizational skills and a high level of initiative
  • High degree of proficiency with excel, including formulas & functions

Responsibilities

  • Preparation and timely review of workforce planning material with Senior Finance and Manufacturing leaders
  • Proactively analyze business results (vs. forecast, budget and prior year) to identify trends, risks and optimize business results
  • Apply financial analysis tools and work experiences to influence current and future profitability (e.g. financial models, business cases, run rate, advanced data analytics)
  • Prepare reporting package with insight for monthly operating review and /or Key Performance Indicators (KPI’s), anticipating logical questions based on content
  • Operate autonomously, where ambiguity and time constraints exist
  • Support the budget and LTP development. Analyze trends to establish bold yet achievable targets
  • Lead financial analysis as a member of cross functional teams (e.g. Automation, new business opportunity)
  • Provide coaching / mentorship to new employees / interns
  • Effectively communicate financial performance and results of analysis performed to Senior Finance Leadership and key business partners anticipating questions
  • Proactively seeks opportunities to grow (e.g. develops new skills, attend training opportunities, network, feedback)

Preferred Qualifications

  • Experience with Power BI, Tableau, Knime