Manager, Data Analytics
9mobile
Lagos, Nigeria
2d ago
source : NGRJobs

9mobile is a Nigerian private limited liability company. EMTS acquired a Unified Access Service License from the Nigerian Communications Commission in 2007.

The License enables EMTS provide Fixed Telephony (wired or wireless), Digital Mobile Services, International Gateway Services and National / Regional Long Distance Services in addition to spectrum assignments in the 900 and 1800 MHz bands.

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 & TargetExperience with data visualization tools : Tableau, Raw, chart.

    js, etc.Experience with Adobe Analytics and other analytics toolsC, 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
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