Senior Data Analyst responsible for accurate, on-time delivery of statistical deliverables, building and presenting statistically sound models, and translating client needs into project plans. Requires 4-6 years experience in data analysis or modeling with large transactional databases, minimum 2 years in a statistical field and original research, and proficiency in Python and SAS. Responsibilities include managing projects from concept to reporting, consulting internal clients on statistical methods, mastering desktop and UNIX tools, troubleshooting, leading training, managing workload and deadlines, and collaborating across departments. Bachelor’s or Master’s degree in a quantitative field required.
What you'll do
Accurate, on-time delivery of multiple and concurrent statistical deliverables
Build and present statistically sound models and profiles using standard programs and techniques
Translate clients’ needs into project plans
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Conduct small to medium scale projects through all stages: concept, metrics definition, methodology, evaluation, reporting
Consult and explain complex statistical ideas to internal clients
Align with group policies for programming, documentation, and system management
Master desktop and UNIX toolset to create content for statistical analyses
Become proficient with quantitative modeling offerings
Troubleshoot problems with internal departments
Lead statistical training on standard models
Manage project deadlines and workload, update status via Jira
Work with Account Specialist and Sales to resolve stalled jobs
Build strong working relationships with key people in other departments
Write and improve Python/SAS code
Provide statistical training to stats department as needed
Ensure successful completion and publishing of all model requests
Build rapport within team and across departments
Provide timely information to internal customers
Arrange backup during PTO and communicate handoffs
Requirements
Bachelor’s / Master’s degree in a quantitative field
4-6 years prior experience with data analysis or modeling with large transactional databases
Minimum 2 years’ experience in a statistical field
Minimum 2 years’ experience conducting original research
Experience working in Python environment is desired
Tech stack
PythonSASSAS ODSExcelPowerPointWordUNIX
Benefits
Employee well-being focusCollaborative work environmentOpportunities for growth through learning, development and career advancementInnovation-driven cultureWork-life balance and flexibilityDiversity, inclusion, and equal employment opportunities
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