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Data Insights Manager

GetFundedAfrica (GFA) is looking for a research-savvy Insights/Data Manager with high analytical and organisational skills team-player who can dive into understanding what we're building, the i...

  • Full-Time
  • Abeokuta
  • Bachelor / Masters degree + Professional Certifications
  • Attractive
  • Responsibilities

    1. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
    2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
    3. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
    4. Ensure accuracy of data and all deliverables as required of team.
    5. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
    6. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, Investment, Fund-raising and product teams.
    7. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
    8. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
    9. Organize and drive successful completion of data insight initiatives and ensure effective collaboration with stakeholders.
    10. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.



    Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. Experience writing advanced SAS code statements, models, and macros. Experience working with and creating databases and dashboards using all relevant data to inform decisions. Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes. Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people and projects simultaneously. Excellent communication, collaboration and delegation skills. We’re looking for someone with at least 5 years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs: Strong programming skills with querying languages: SLQ, SAS, etc. Experience with big data tools: Teradata, Aster, Hadoop, etc. Experience with testing tools such as Adobe Test & Target Experience with data visualization tools: Tableau, Raw, chart.js, etc. Experience with Adobe Analytics and other analytics tools C, C++, JAVA, or other programming languages Experience with Excel, Word, and PowerPoint.
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