Compassion International

  • Senior Program Analytics Data Scientist

    Job ID
    2018-17794
    Location Name
    Open
    Category
    Business Analysis
  • Overview

    Produces complex operational, financial, effectiveness and market intelligence data by discovering and querying major repositories and other sources, as well as assisting the Program Analytics team with determining new data collect from our program participants. Interprets data, formulates reports and makes significant recommendations based upon the research findings. This effort requires the application of qualitative and quantitative techniques, including predictive analysis, to interpret the data and produce substantiated recommendations. Devises methods for identifying data patterns and trends in available information sources. This is a highly skilled professional who serves as an expert analyst on major, critical research and strategic initiatives. Often coaches and oversees the work of other analysts and related staff.

    Essential Job Functions

    Responsibilities

    • Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer.
    • Acts as an advocate for children – raising the awareness of the needs, neglect, nurture, and potential of children in poverty and challenging and enabling those within one’s influence to greater involvement and effectiveness on behalf of children.
    • Works with senior management to formulate major analysis plans and designing or developing complex questionnaires, tests, research plans, and other guides to ensure the necessary data is captured to perform an actionable analysis and recommendation.
    • Mines research data from available internal sources, industry reports, public information, field reports, or with effectiveness strategy and business result implications. Further tests are conducted or coordinated to ensure that data is valid and consistent with defined needs.
    • Conducts in-depth data review using traditional and advanced methods, including extremely complex statistical techniques, and performs complex analyses and prepares forecasts and recommendations in the areas of program efficacy and program enhancements.
    • Based on predictive analytics, authors major reports profiling and predicting outcomes related to marketing, program, financial, or economic issues for review by executives, managers, and other stakeholders, involving making live presentations, answering questions, and instilling confidence in stakeholders.
    • Maintains or cooperates in the maintenance of business intelligence tools, databases, dashboards, systems, or methods, including the creation or review of technical design documentation to ensure the accurate development of reporting solutions.
    • Provides technical support for existing reports, dashboards, or other tools or systems, including design of related databases, spreadsheets, or outputs, as well as maintain a library of model documents, templates, or other reusable knowledge assets.
    • Coaches and provides expertise, and may oversee the work of other professionals and support staff in the business intelligence discipline.

    Qualifications

    Faith

    • Has a personal relationship with Jesus Christ.


    Culture

    • Accountable for supporting, upholding, and engaging in Compassion's core "Cultural Behaviors" in all internal and external communication and relationships.


    Education

    • Bachelor's Degree in Accounting, Finance, Management Information Systems, Business Administration, or related discipline
    • Master's Degree preferred. 


    Work Experience

    • Ten years' professional experience working in statistical analysis, business intelligence or similar field, involving data modeling, data mining, and data science. Experience using statistical analysis/programming tools such as SAS, SPSS, Strata, Python, and R.


    Licenses and Certifications

    • Graduate Certificate or other certification in Data Science preferred. 


    *** Equivalent education, training and/or certification may be substituted for experience and education shown above ***



    Working Environment: Office – Standard Office Environment

    Physical Demands: Sitting, standing, and/or walking for up to 8 hours per day

    Travel Requirements: May be required to travel up to 20% of normal schedule



    Need help finding the right job?

    We can recommend jobs specifically for you! Click here to get started.