Financial Analyst - Data Analytics

The Financial Analyst - Data Analytics is responsible for the planning, reporting and steering of sales allowances for BMW/MINI/Motorrad effectively utilizing data and analytics.

Key Responsibilities:

• Identifying and solving problems for Cost of Retail planning & reporting and processes
• Collecting information and automating the data feed from a variety of sources
• Use data analysis techniques to get practical information from raw data and communicate findings to executives, managers, and employees to impact decision making
• Plan, report on and steer smaller size CoR programs (up to approx. $100m) with the respective
  Business Departments
• Support the Controlling department on special data automation tasks as needed
• Planning and Reporting (BMW / MINI / Motorrad) with the emphasis on supporting the following with BI tools:
• Build in-depth understanding of topics and processes within the sales allowances team with emphasis
  on observing how controlling, sales and financial services interact to steer the KPI
• Gather, analyze and interpret data relevant to the sales allowance programs
• Support in reviewing the GL and monthly close for Sales Allowances, particularly in regards to the
  analysis of deviations vs. plan. Take initiative and investigate and resolve any identified errors.
• Support the team in planning submissions (Actuals / Forecasts / Budgets / ad hoc requests) in
  adherence with BMW Group reporting guidelines for BMW, MINI and Motorrad Sales Allowances.
• Completion of these processes for the assigned smaller size CoR programs
• Support the team in compiling data for the monthly variance reports comparing Actuals / Forecast and
  Budget figures
• Support the team to make data/information available for ad-hoc analysis and reporting as requested by
  executive management

Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:

• Medical, Dental, and Vision insurance
• All with options for $0 Employee contribution
• 401(k) with Company match
• Retirement Income Account (RIA)
• Employee vehicle program
• Bonus eligibility
• Paid Parental Leave of up to 6 weeks
• Paid Time Off in addition to Company paid holidays where eligible
• Hybrid work environment
• Voluntary Benefits to fit your needs

The pay range for this role is: $74,831.00 - $87,642.00.

The selected candidate's education, skills, experience, and location will be used to determine the final salary offer. All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

At BMW, we are driven by diversity, equity, and inclusion. We are proud to be an Equal Opportunity Employer and are welcoming of all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Requirements:

• Bachelor's degree in Business Administration, Business Analytics, Finance or Accounting/Controlling or
  Economics
• 3 years of professional or academic experience working with Data and Analytics tools including BI Tools, Data Analysis tools and Data preparation Tools
• Experience using SQL

Preferences:

• 2 years Financial Services or Automotive Industry experience
• 2 years data exploration and mining using tools like R, Python, or equivalent
  2 years Data Governance / Management process application experience; i.e. Informatica EDC, Axon,
  IDQ, or equivalent training
• Educational background in Data Analytics, Computer Science, MIS, Economics, Mathematics, or Statistics
• Experience assessing and providing insights using Tableau or Qlik
• Experience creating reports/dashboard development using Tableau or Qlik
• Experience using MS SQL or PostgreSQL
• Exposure to data analysis tools like R, SAS orRapidMiner
• Data Preparation skills using Tableau Prep or Alteryx