Data Science Analyst (I or II DOE)

Job Information

In this position, you will impact the business by taking a decision-driven data analytics approach towards answering high value questions throughout the organization. The ideal candidate will have a passion for data and continual learning, and the ability to approach complex problems with creativity and resourcefulness. Position level DOE; determined based-on experience. 

Role & Responsibility

Strategic Decision-making 
•    Surface actionable insights from multiple sources to guide strategic initiatives and long-range planning.
•    Advise senior management on business implications and recommend changes to strategy or operations.
•    Quickly adapt to unfamiliar business contexts and assess untapped analytical potential.
•    Collaborate with business functions to identify and prioritize opportunities for performance optimization.

Business Intelligence & Advanced Analytics 
•    Leverage advanced analytics and create data models to solve complex business problems.
•    Create foundational datasets which can be easily leveraged for multiple business opportunities.
•    Build reports and dashboards to help the organization understand progress and trends of key strategic initiatives and projects.
•    Develop processes to ensure quality, reproducibility, and accessibility for critical datasets.
•    Perform sound ad-hoc analysis to support rapidly changing business environments.

Organizational Adoption & Engagement
•    Engage with the organization and promote adoption, and continual improvement of solutions.
•    Contribute to the creation of and enhancement to existing analytics platforms.
•    Develop and maintain cross-functional relationships to support new and on-going initiatives.
•    Promote BI and advanced analytics best practices throughout the organization.
 

Job Requirement

• Education Required: Bachelor’s Degree in a quantitative discipline, such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Master’s Degree preferred.
• Experience required: 2-5 years for level I; 5-10 years for level II.
• Programming and scripting background is preferred, such as Python or R.
• Relational data management and reporting tools, such as Power BI or Tableau.
• Demonstrated ability to persuade, drive change, and challenge the status quo.
• Excellent data wrangling capabilities.
• Proficiency in PowerPoint, strategic documentation, and storytelling data & findings in presentations.
• Experience developing & validating machine learning and statistical forecasting models or predictive models, including GLM, Random Forest, Gradient Boosting and Neural Networks.
• Excellent strategic thinking, business acumen, and execution competencies.
• Strong written, verbal, and presentation skills.
• Demonstrated ability to manage multiple tasks with short deadlines.
• Travel Required: < 20%.

Doosan Bobcat North America will not sponsor applicants for work visas, nor provide any OPT, CPT or other immigration support, for this position.

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