Market Operations Quantitative Data Specialist

Description

• Develops and maintains data pipelines.
• Architects, builds, and deploys business-oriented analytics solutions.
• Employs and maintains machine learning and statistical algorithms/models to support descriptive, predictive, and prescriptive analytics.
• Provides technical consulting and leadership on complex projects.
• Serves as technical expert in Computerized Data Analysis, Modeling, and Data Science within the business organization.
• Works with domain experts to frame problems in a business context.
• Embraces innovation and operational excellence by implementing processes and policies that create efficiencies.
• Selects appropriate datasets and data representation methods.
• Works within the business unit and collaborates with other business units, in multi-platform environments, on multiple project assignments.
• Works on multiple data platforms and develops analytic solutions using multiple technologies and programming languages.
• Monitors, evaluates, and communicates model performance and business impacts to customers.
• Conducts requirements gathering and design sessions, defines and documents the scope and objectives for analytic use cases/solutions.
• Develops effective analytics solutions for data in different formats and from various internal/external systems.
• Serves as guide and mentor to less experienced analysts and leads cross-functional business team(s) on complex projects, as needed.
• Performs statistical testing and evaluation to assess efficacy of the models/solutions before implementation.
• Oversees scheduling and execution of jobs to ensure reliable, accurate, and timely delivery of forecasts and reports.

Requirements

• Strong experience in adapting to and applying rapidly changing technology to business needs
• Demonstrated ability to combine technical knowledge with business domain expertise
• Demonstrated ability to research and understand customer processes and issues
• Adapts to and applies rapidly changing technology to business needs.
• Ability to handle deadlines and pressure with concern for quality
• Advanced proficiency in utilizing tools such as Hadoop, Python, Spark, R, R Studio Shiny, SQL, Alteryx, Tableau, PowerBI, etc.
• Ability to work with people from all levels of the organization in order to influence and impact others
• Clearly articulates and presents analytic solutions and/or analytic insights to all levels of the business organization to optimize or improve processes.
• Demonstrated competency in identifying and solving problems, and in logical and analytical thinking
• Strong conceptual thinking and reasoning abilities
• Expert level experience in machine learning, programming, querying, data structures, statistics, data visualization & communication with business stakeholders
• Ability to work independently and to lead/mentor team of less experienced Quantitative Data Analysts
• 7+ years directly related experience in computerized data analysis, modeling, and data science

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance