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  • Posted: Jun 21, 2018
    Deadline: Not specified
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    Greenlight Planet is on a mission to revolutionize rural energy access for the 1.5 billion off-grid villagers who use dirty, dangerous kerosene lanterns for light. In four years we've sold 1.6 million solar lights to off-grid families in South Asia and Africa— all paid for up-front, in cash— the latter 1 million customers acquired over the...
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    Senior Statistical Analyst

    Reporting to: Data Scientist

    The Role:

    We are looking for a hard-working, well organized, highly analytical individual to join our Risk department as a Senior Statistical Analyst. The Senior Statistical Analyst will help to develop and execute predictive models and advanced analytics, facilitate machine learning, predictive analytics, data mining, advanced analytics, statistics, workload prioritization, operations research, risk analysis, streaming analytics, anomaly detection, exploratory data analysis, ETL, event log processing, mathematical modelling, graph/network analysis, data visualization, data access, storage and retrieval.The right candidate should be personable with ability to independently research statistical techniques and their application to business. 

    Greenlight Planet offers numerous opportunities to grow professionally, across a variety of geographies.  This role will have exposure to all of the company’s core departments and regularly interact with Greenlighters across all levels, from field sales executives to heads of departments.  We are looking for strong performers that are innovative by nature, entrepreneurial and excited for the opportunity to progress in a high-growth business.

    Key responsibilities for the role include:

    • Developing and executing predictive models and advanced analytics.  
    • Machine learning, predictive analytics, data mining, advanced analytics, statistics, workload prioritization, operations research, risk analysis, streaming analytics, anomaly detection, exploratory data analysis, ETL, event log processing, mathematical modelling, graph/network analysis, data visualization, data access, storage and retrieval
    • Independently researching statistical techniques and their application to the business
    • Monitoring existing predictive models for ongoing efficiency and stability; performing refreshes as necessary.
    • Communicating findings and recommendations via written and oral presentations; conveying a clear understanding of business implications.
    • Effectively handling data through quality checks and appropriate transformations; expertly and efficiently handling large datasets.
    • Documenting activities in an organized manner to facilitate knowledge retention.
    • Attending occasional late-night and early-morning calls with colleagues around the world
    • Performing other related work as required or requested. 

    The ideal Senior Statistical Analyst has:

    • Bachelor’s Degree in Statistics, Actuarial science or any other Quantitative Field
    • At least 5 years’ experience within a Fintech Company, with at least 2 years at a team leader level
    • Strong analytical skills to effectively apply statistical methodologies in addressing business challenges
    • Predictive modelling and analytics background, either through direct experience, or a relevant degree
    • Skilled user of R or Python
    • Skilled user of SQL
    • Proficiency in Microsoft Excel
    • Ability to learn quickly, initiate and drive projects to completion with minimal guidance.
    • Ability to thrive in a dynamic and fast-paced environment.
    • Experience using Looker, Tableau, or Periscope (an added advantage) 

    We are looking for someone who is driven, passionate and excited about the opportunity to bring honest, affordable, energy to homes in Africa and Asia.  If this sounds like you, we would love to hear from you.  

    Greenlight Planet offers a competitive salary, a fun, supportive work environment and opportunities for continued professional growth within a fast-growing global enterprise. 

    Greenlight Planet is an Equal Opportunity Employer. We consider all applicants without regard to race, color, religion, sex, martial status, sexual orientation, national origin, HIV/Aids, disability or any other protected characteristic as established by law.

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