Manager, Data Analytics

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.
We are recruiting to fill the position below:
Job Title: Manager, Data Analytics
Job: IRC4962
Location: Lagos
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.
Carryout 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 5+ 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,Skills & Competencies          
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.

Application Closing Date
Not Specified.
Method of Application
Interested and qualified candidates should:
Click here to apply online