Work in Washington Veterans Jobs

Responsibilities

• Develop long-range business forecast models and run scenario analysis to understand the implications of a variety of business decisions on key metrics and share the insights with cross-functional team to influence strategic decisions.  
• Develop analytic framework in partnership with internal teams to quantify business impact, diagnose issues, and to bring insights using internal and external data.  
• Define core metrics, build essential data tracking dashboard, and identify opportunities from our database and convert the insights into real changes/new features.  
• Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough.  
• Conduct experimentations to analyze user behavior and optimize for the best outcome regarding core metrics.  
• Improve data foundations and excel in product logic thinking using data-driven analysis and brings distinctive problem-solving skills and impeccable business judgment.  
• Define KPIs and develop analytic framework to evaluate on-platform assets engagement and drive continuous UI/UX iterations via A/B testing.  
• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.  
• Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.  
• Build classification and clustering machine learning models to understand data characteristics.  
• Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.  

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``` - Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.   - Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.  

Qualifications

Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 3 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 6 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.

Of the required experience, must have 3 years of experience in each of the following:

Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support and influence business decisions;

Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tools Tableau and Excel;