Roles And Responsibilities Include The Following

Design and build centralized reports, following best practices to ensure data with high level of accuracy
Collaborate with other team members to understand business needs, propose solutions and query the data warehouse for internal operation insights
Support multiple, high impact data research and ad hoc analysis projects cross-functionally to deliver accurate and scalable reporting to the business
Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that discover patterns and solve strategic analytic business problems
Enhance and redesign reporting metrics that drive better outcome for both customers and the company

Successful Candidates Will Have The Following Background/experience

Advanced degree in computer science, mathematics, management science, engineering, operations research, statistics, or related (Bachelor’s degree required, Masters preferred)
2+ years' experience in data science, advanced analytics, and model building
Experience with statistical analysis methods
Excellent visualization experience utilizing either Spotfire / Tableau / Clickview and/or custom built solutions
Experience with big data manipulation and analysis using varying frameworks/tools: SQL, Python, R, SAS
Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership
Experience driving large analytic projects and programs to completion
Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining, Bayesian inference, and optimization techniques
Good organizational and communication skills, the ability to work in a collaborative environment, and a desire to improve skills are essential

The total compensation package for this position will also include incentive compensation and benefits such as health insurance, unlimited paid time off, parental leave, a 401k matching program, a car allowance, and other benefits to its employees.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law.

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Data Analyst