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JOB DESCRIPTION

Position Title :            Business Intelligence & Analytics Specialist

Department :               Business Intelligence Analytics Department

Job Grade :                  EFC 5

Reporting Officer :      Business Intelligence Analytics Lead

ROLE OVERVIEW


As a Business Intelligence & Analytics Specialist, you will play a crucial role in our organization's success by transforming raw data into actionable insights. The role holder will be responsible for gathering, analyzing, and presenting data to support decision-making processes across various departments. Your expertise in data analysis and visualization will be instrumental in identifying trends, opportunities, and potential risks, empowering our company to make data-driven decisions and achieve strategic objectives.

The role holder will have an opportunity to work on predictive modelling projects that seek to uncover business optimization opportunities.

 RESPONSIBILITY
  • Data Collection and Analysis: Gather data from multiple sources, clean and organize it, and conduct in-depth analysis to identify patterns, trends, and correlations.
  • Reporting and Visualization: Create visually appealing and informative reports, dashboards, and data visualizations that provide actionable insights to stakeholders at all levels of the organization.
  • Business Performance Monitoring: Develop key performance indicators (KPIs) and regularly track and report on performance metrics to measure the success of business initiatives.
  • Ad hoc Analysis: Conduct ad hoc analysis as requested by various departments to answer specific business questions and provide valuable insights.
  • Data Modeling: Develop and maintain data models that support business forecasting, scenario planning, and predictive analysis.
  • Forecasting and Predictive Analysis: Utilize historical data to build predictive models, identifying potential opportunities and risks for the organization.
  • Collaborative Support: Collaborate with cross-functional teams to understand their data needs, support decision-making processes, and address data-related challenges.
  • Data Quality Assurance: Ensure data accuracy, consistency, and integrity through continuous monitoring and validation of data sources.
  • Market Research: Stay updated with industry trends, best practices, and emerging technologies in business intelligence and analytics.
  • Tool and Process Improvement: Identify opportunities for process optimization, automation, and enhancement of data tools and platforms.
QUALIFICATIONS
  • Education: Bachelor’s degree in Data Science, Business Administration, Statistics, Computer Science, Information Systems, or a related field.
  • Experience: Minimum of 2 years of experience in Business Intelligence, Data Analytics or a similar role, preferably in a fast-paced data-driven environment.
TECHNICAL SKILLS
  • Proficiency in data analysis and visualization tools (e.g., Tableau, Power BI, QlikView, Excel).
  • Knowledge of Structured Query Language (SQL) is highly recommended.
  • Experience with data modeling, data warehousing, and ETL processes.
  • Knowledge of statistical analysis and predictive modeling techniques.
  • Familiarity with programming languages (e.g., Python, R,) is an added advantage.
Analytical Mindset: Strong analytical skills with the ability to interpret complex data and draw meaningful insights to support decision-making.

Communication: Excellent verbal and written communication skills to present complex information clearly and concisely to diverse audiences.

Problem-Solving: Proven problem-solving abilities, identifying business challenges, and proposing data-driven solutions.

 Attention to Detail: Meticulous attention to detail to ensure data accuracy and reporting precision.

Business Acumen: Understanding of business processes and an ability to connect data insights to the organization's strategic goals.

Team Player: Ability to work collaboratively in a cross-functional team environment and build strong working relationships.

Adaptability: Demonstrated flexibility to work in a dynamic and rapidly evolving business landscape.

The role holder will have an opportunity to work on predictive modelling projects that seek to uncover business optimization opportunities.

You may send your application, including copies of academic & professional qualifications and three professional references via e-mail to [email protected]. The closing date for receiving applications is Monday, 15th December 2023.

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