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  • Posted: Feb 26, 2021
    Deadline: Not specified
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  • 9Mobile is a Nigerian telecommunications services provider, currently operating in Nigeria. 9Mobile is formerly known as Etisalat Nigeria.
    Read more about this company

     

    Manager, Data Analytics

    Job: IRC4058

    Job Summary

    • Lead the use of advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes
    • Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics.

    Principal Functions

    • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
    • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
    • Design and build technical processes to address business issues.
    • Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
    • Recruit, train, develop and supervise analyst-level employees.
    • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
    • Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
    • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
    • Oversee the data / report requests process: tracking requests submitted, prioritization, approval, etc.
    • Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
    • Anticipate future demands of initiatives related to people, technology, budget and business within your department and design / implement solutions to meet these needs.
    • Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
    • Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
    • Carry out other duties as instructed by Head of IT Architecture & Planning

    Educational Requirements        

    • Degree level education with a solid all-round knowledge of IT and its use within a business environment with minimum of 6 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.
    • 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

    Method of Application

    Interested and qualified? Go to 9Mobile on careers.9mobile.com.ng to apply

    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

  • Send your application

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Average Salary at 9Mobile
₦ 157K from 57 employees
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