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Analytical Professional
3 weeks ago
Job Summary:
As a Data Analyst, you will be accountable for delivering accurate and timely statistical results. You will develop and present statistically sound models using current industry standards.
- Accuracy: Ensure the accuracy of all statistical deliverables.
- Accountability: Deliver results on time.
- Project Management: Manage small to medium-scale projects through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report.
- Model Development: Independently build and present internally statistically sound models using current, standard programs.
- Industry Techniques: Apply industry techniques/ideas/trends to current systems.
- Consultation: Consult/explain complex statistical ideas to internal clients.
Key Interfaces / Metrics:
You will work with Python, SAS EG, UNIX, Model Performance, Stats, Client Services, Data Acquisition & Data Performance, and T&D. The primary goals include:
- Meet or Exceed Expectations: Meet or exceed expectations in support of department objectives.
- Accuracy - Model Results: Ensure that model results are accurate.
- On Time Delivery: Deliver results on time.
- Service Level Agreements: Ensure that service level agreements are met and workload is balanced across the team.
Requirements:
- Masters degree in statistics/economics.
- 0-2 years prior experience with data analysis or modeling with large transactional databases.
- Good knowledge of statistical/data analytics field.
- Good knowledge of conducting original research.
- Experience/project in python/SAS etc. environment is desired.