Decision Sciences Analyst

Volkswagen Financial Services Canada; Pickering; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Decision Sciences Analyst to join their Risk team. This role is pivotal in utilizing data to enhance business strategies and drive brand loyalty. The analyst will engage in extracting and analyzing vast data sources, developing machine learning models, and creating insightful visualizations. This position offers a unique opportunity to collaborate with various stakeholders and influence key business decisions through data-driven insights. If you are passionate about data analysis and eager to make a significant impact, this role is perfect for you.

Qualifications

• 5-7 years of experience in data analysis and business analysis.
• Proficient in statistical model building and data visualization.

Responsibilities

• Extract and analyze data from large sources; develop machine learning models.
• Create KPIs and data visualizations to influence business decisions.

Skills

Analytical mindset

Data analysis

Data visualization

Statistical model building

Business analysis

Collaboration

Problem solving

Storytelling

Education

Bachelor’s degree in Economics, Statistics, or similar

Master’s degree in Economics, Statistics, or similar

Tools

Data visualization tools

Job description

Volkswagen Financial Services, a wholly-owned subsidiary of Volkswagen Group, is the trusted key to mobility for its brand partners. We are committed to supporting the Audi, Ducati, and Volkswagen brands and their Dealers, specializing in providing accessible mobility solutions for its Customers. The company’s offerings include Retail Leasing, Retail Financing, Commercial Financing for new and used vehicles, and End-of-Term vehicle disposition.

The Decision Sciences Analyst role resides with the VWFS Risk team and is a key player in providing analytical insights, statistical analysis, data visualizations, and measuring KPIs to shape future strategy of VWFS’s Mobility transformation.

The Risk Insights team has a clear vision – use data to make better business decisions that increase brand loyalty. Working cross-functionally across the organization the Decision Sciences Analyst will support our mission by building machine learning models, preparing reports, developing data visualizations, defining business KPIs, and analyzing data to deliver insights and make recommendations that positively influence business decisions and direction. The primary responsibility for this position will be to elevate the analytics, reporting, and insights delivered to our business partners.

Role Responsibilities: List essential functions in order of importance; include percentage of time spent performing each function (total should equal 100%)

• Extract, curate, explore, and analyze data from large data sources. Develop machine learning models (35%)
• Perform extensive data analysis to influence business decisions (15%)
• Develop insightful data visualizations and presentations to clearly communicate key analytical findings (20%)
• Create, define and track product KPIs and success metrics (20%)
• Collaborate with business owners, stakeholders and leadership to methodically transform business problems into detailed and practical analytical requirements (5%)
• Act as a Data Steward to support the development of an analytical data framework (5%)

Years of Experience: Minimum years of experience needed

• 5-7 years of professional experience
• 2-3 years utilizing methods and tools to extract, curate, explore, and analyze data from large data sources
• 2-3 years in business analysis to effectively communicate key data insights
• 2-3 years utilizing data visualization tools to discern critical information from large data sources
• 2+ years in statistical model building

Education

Required

Desired

• Bachelor’s degree in Economics, Statistics, Computer Science, Engineering, Operations Research or similar quantitative STEM field
• Master’s degree in Economics, Statistics, Computer Science, Engineering, Operations Research or similar quantitative STEM field

Skills: General skills needed to perform the job

• Strong analytical mindset and ability to use data and logic to make compelling business cases
• Ability to decompose complex business problems into their constituent parts
• Generate data-driven insights to help guide key business decisions
• Ability to use innate curiosity to collaborate with different business units to co-create solutions
• Blend of strategic and tactical thinking, creative and analytic reasoning
• Passion for data analysis and problem solving
• A fantastic storyteller who is at ease presenting to, and can influence, senior executives

Volkswagen Financial Services is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, family status, gender identity, gender expression, national origin, age, disability or any other characteristic protected by federal, or local laws. Volkswagen Financial Services is committed to accommodating applicants and employees with disabilities. Should you require an accommodation during the recruitment and selection process please advise in advance.

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