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  • Posted: Feb 8, 2021
    Deadline: Not specified
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    Eliminating the back row in higher education is not just a metaphorits our mission. For more than a decade, 2U, Inc., a global leader in education technology, has been a trusted partner and brand steward of great universities. We build, deliver, and support more than 250 digital and in-person educational offerings, including graduate degrees, professional...
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    Data Analytics Manager

    The purpose of this role is to serve as an analytics specialist in the business, focusing on advanced data mining, statistical analysis and modeling of data to create solutions that enable enhanced business performance through data-driven insights. Will serve as the Academic product portfolio data science lead and in doing so ensures that roadmap and architecture consider data needs. Actively seeks opportunities to leverage Data Science to enhance product.

    Responsibilities Include, But Are Not Limited To:

    Technical 

    • Selecting features, building and optimizing classifiers using machine learning techniques
    • Use machine learning tools and statistical techniques to produce solutions to business problems
    • Use machine learning tools and statistical techniques to produce solutions to business problems
    • Cleansing and verifying the integrity of data and enhancing data sources where necessary
    • Ensure code is thoroughly tested
    • Ensure best practices are followed
    • Performs ad-hoc data mining and exploratory analysis 
    • Analysis of data in order to provide data-driven insights 
    • Visualize data insights and communicate findings

    People 

    • Support, mentor and provide technical guidance to junior and mid level Data Analysts
    • Coach analysts and scientists through complex issues
    • Provide feedback on technical performance
    • Manage team member’s career paths
    • Ensure team members have a work-life balance
    • Protect team members’ time
    • Coach team through complex issues
    • Oversee the team’s day-to operations
    • Support, supervise & line manage direct line reports
    • Monitor & drive excellent performance
    • Communicate clear instructions to team members
    • Motivate team members

     Management 

    • Drive sprint planning
    • Ensure that analysts have the resources they require to do their best work
    • Manage leave of team members

    Business

    • Collaborate with the data leads and stakeholders to understand the data requirements in order to provide them with support 
    • Work with business to create solutions that enable enhanced business performance through data-driven insights
    • Help guide business when making technical decisions
    • Manage ambiguity around tasks
    • Ensure that roadmap and architecture consider data needs

    Personal

    • Perform research and constantly stays on top of the industry’s trends
    • Actively look for opportunities to improve through stretch assignments and continuous learning
    • Adhere to internal Agile methodology

    Things That Should Be In Your Background: 

    • ± 5 - 7 years in the Data industry
    • 1+ year’s experience in supervising people and giving guidance to more junior employees
    • Specific qualifications or technical skills 
    • A Bachelor's degree (Stats, Engineering, Business Science preferred)
    • Experience in data analysis and business intelligence
    • Proficiency in SQL
    • Proficiency in R or Python
    • Experience working in statistics
    • Experience in building machine learning models
    • Additional required skills
    • Good Problem Solving Skills
    • Analytical, strategic and logical thinker
    • Time management, discipline, accountability, self-motivation and eagerness to learn
    • Ability to communicate technical concepts to non-technical audience
    • Ability to understand business requirements and translate to data solutions
    • Ability to work well under pressure
    • Ability to collaborate effectively and work as part of a team as well as on your own
    • Attention to Detail
    • Curious and eager to learn
    • Enjoy working in agile, fast paced environment
    • Comfort with ambiguity, ready to solve complex problems
    • Self aware and humble, ask for help/give help
    • Resilience 
    • Empathize with end users and stakeholders

    Method of Application

    Interested and qualified? Go to 2U on 2u.com to apply

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