• Application Deadline:
• Position: Associate, Business Intelligence & Data Analytics


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 - 5 years


• Location Lagos


• Job Field Data Science / Research 
  

Key Responsibilities

• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.


• Partner with required team members to design and build targeted dashboards/reports and predictive models, to represent operational data in brief and intelligible format suitable for the target audience.


• Develop scalable and recurring processes and reporting to support the organizational business needs.


• Support and/or lead communication with subject matter experts across multiple departments and levels of leadership to define BI requirements and strategy.


• Support the administration of business intelligence applications including software maintenance, new user setup, and best practices across user and data governance.


• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.


• Play a critical role in leading Monitoring and Evaluation activities; data collection, planning and implementation of monitoring and evaluation tools that support MEL at an organizational and programmatic level.


• Other responsibilities and tasks required to support organizational goals and objectives

Requirements

Experience in Business Intelligence and Data Analytics

• Bachelors degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.


• 3 - 5 years of related experience in a Business Intelligence or Data Analytics role
  
  
  
  • Experience using data analytics tools such as Power BI and/or Tableau
  
  
  • Experience with languages such as Python, SQL, etc.
  
  
  • Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
  
  
  • Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.
  
  
  
  


• Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)


• Demonstrated ability to interpret data to derive business insights


• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.


• Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.


• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.

Other Requirements

• Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.


• High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.


• Strong knowledge of predictive modelling and machine learning algorithms/concepts.


• Strong problem solving, good judgment, strategic and multidimensional thinker.


• Strong ability to plan and manage numerous processes, people and projects simultaneously.


• Excellent communication, collaboration and delegation skills.


• Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share.


• Proven ability to leverage technology to translate business requirements.


• Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals.

Start Up Environment

• Thrives in a fast-paced, start-up environment with dynamic business priorities.

Work Location

• This role would be based in Lagos.

Benefits

• Competitive salary


• Health Insurance


• Pension


• Performance Bonus


• Annual paid vacation


• Group Life Insurance