We are seeking a skilled Analytics Data Scientist proficient in statistical analysis tools such as SAS, SPSS, R, and Python. The ideal candidate will possess hands-on experience in a range of statistical techniques including Decision Trees, Segmentation, Logistic and Multiple Regression, with additional expertise in Forecasting, Campaign Management, and Customer Segmentation being highly desirable. Strong proficiency in Excel, Access, and PowerPoint is required, along with familiarity in SQL for database querying. A basic understanding of data warehouse architecture and various analytical tools, platforms, and frameworks is essential.
Key Responsibilities
- Industry Knowledge. Demonstrates understanding of industry lexicon, competitor landscape, and sub-verticals, enabling valuable insights and process recommendations.
- Functional/Process Expertise. Documents functional processes, appreciates customer requirements, and suggests appropriate analytics algorithms based on business needs.
- Analytical Skills. Integrates data from multiple sources to establish cause-effect relationships and identify key issues. Evaluates solution alternatives considering stakeholder perspectives and assesses optimal outcomes.
- Business Acumen. Understands business metrics and objectives, aligning team efforts to drive business value. Aware of financial impacts and strategic implications of decisions.
- High Impact Communication. Tailors communication to audience needs, presents logical insights, and effectively manages Q&A sessions to ensure clarity and engagement.
Requirements
- Proficiency in statistical analysis tools (SAS, SPSS, R, Python).
- Experience with statistical techniques and deep learning methods.
- Strong skills in Excel, Access, and PowerPoint.
- Familiarity with SQL for database querying.
- Basic understanding of data warehouse architecture.
- Ability to align deliverables with customer requirements and provide actionable insights.
- Excellent teamwork and collaboration skills.
Preferred Qualifications
- Experience in Forecasting, Campaign Management, and Customer Segmentation.
- Knowledge of optimization (linear, mixed integer, constraint programming), simulation, and predictive analytics tools.
- Ability to define key business problems, formulate mathematical approaches, and present solutions effectively.
- Proven track record in discovering opportunities for business optimization through analytics and statistical modeling.
How to Apply. If you are a motivated individual with a passion for leveraging data-driven insights to solve complex business challenges, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter detailing your relevant experience and skills.