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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own analytics initiatives end-to-end, from problem framing and data exploration through modeling, validation, deployment, and measurement.
- Partner directly with business and senior leaders to clarify objectives, constraints, and success criteria without relying on others to translate technical ideas.
- Prepare and deliver executive-ready presentations that explain methodologies and recommendations, and present findings directly to stakeholders while answering questions in real time and defending technical decisions.
- Independently manage priorities, scope, timelines, risks, and stakeholder expectations across multiple concurrent efforts.
- Design, build, and evaluate advanced statistical, machine learning, AI, and GenAI models, selecting modeling approaches based on business needs, data constraints, and operational feasibility.
- Perform advanced data mining, feature engineering, and analysis on large and complex datasets.
- Translate model outputs into actionable, operational insights.
- Ensure data quality, reliability, and reproducibility; clearly communicate risks and limitations.
- Collaborate with engineering and platform teams to integrate models into production workflows.
- Produce clear, well-structured documentation covering problem definitions, methodologies, assumptions, results, and recommendations.
- Create artifacts (slide decks, summaries, dashboards, Confluence pages) that enable reuse without direct hand-holding.
- Establish and follow best practices for analytical rigor and reproducibility.
Requirements
What you’ll need- Education: Bachelor's degree (accredited) in Economics, Applied Mathematics, Computer Science, or similar area of study, or in lieu of degree, High School Diploma or GED and 4 years of relative work experience.
- Experience: Five years of relevant work experience (in addition to education requirement).
- Advanced knowledge and skills in one or more of the following is required:
- - Knowledge and understanding in how to identify root causes of problems, create effective practical solution approaches, and implement solutions under the tactical demands of business operations.
- - Experience leading and working as part of a integrated solutions development team to provide value to systems engineering and development for specific decision support application.
- - Experience working with large-scale data sets in an advanced data mining analytic role.
- - Practical knowledge and demonstrated experience of statistical models and methods.
- - Knowledge of large relational databases, and SQL programming.
- - Knowledge and working experience in SAS toolsets (SAS training preferred).
- - Programming experience (preferably in C or C#).
- Problem solving and analytical skills.
- Ability to present, communicate and articulate complex information to all levels of the organization (including technical and non-technical audiences, Senior Leadership and Executive Leadership).
- Committed and highly motivated team player.
- Ability to demonstrate a customer service and customer focused mindset.
- Proficiency with data mining and visualization tools.
Benefits
Comp & perks- Medical
- Dental
- Vision
- Life Insurance
- Short Term Disability
- Stock Purchase Plan
- Company match on 401K
- Paid Vacation
- Holidays
- Personal Days
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data explorationmodelingvalidationmachine learningAIGenAIdata miningfeature engineeringstatistical modelsSQL
Soft Skills
problem solvinganalytical skillscommunicationpresentation skillsstakeholder managementteam playercustomer service mindsetindependently manage prioritiesclarifying objectivesdefending technical decisions