The role holder is responsible leading the design, development, and implementation of business intelligence Solutions within Lafarge Africa.
What you’ll be doing

• Lead the design, development, and implementation of business intelligence solutions using Qliksense, Nprinting, and big query to extract, transform, and visualize data for actionable insights, ensuring adherence to best practices and meeting business requirements.
• Design and implement extraction and transformation processes using QVD and data modeling layers in Qlik Sense to support dashboards and reporting needs.
• Manage and optimize data pipelines and workflows to ensure the efficient processing and analysis of large datasets from multiple sources
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs. Locate and define new process improvement opportunities
• Collaborate with stakeholders to understand business requirements and translate them into data models, dashboards, and reports that support decision-making and drive business outcomes.
• Stay abreast of emerging trends and technologies in business intelligence, data analytics, and data visualization, and recommend best practices and tools to enhance analytical capabilities.
• Utilize hands-on experience in programming to enhance QlikSense solutions (optional but advantageous).
• Drive and lead large-scale change and transformation programs related to QlikSense implementation and usage.
• Apply knowledge of data modeling and dimensional modeling to work with large data sets effectively.
• Collaborate with Cloud infrastructure teams to leverage cloud services and optimize QlikSense deployments.
• Demonstrate proficiency in other BI/Visualization tools such as Looker and Tableau (preferred but not mandatory).
• Perform local BI training for users across the business • Perform other duties as assigne

What we are looking for 

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or a related field
• Knowledge of statistics and experience using statistical packages and tools for analyzing datasets (Qlikview,Qliksense,Data Studio, Business Objects)

Specific Work Experience:

• Minimum of 5 years of experience in business intelligence, data analytics, or related roles, with a focus on data visualization and analytics platforms such as Qliksense
• Strong proficiency in Qliksense, Nprinting, big query, SQL, and other relevant tools and technologies.
• Proven track record of designing and implementing complex data models, dashboards, and reports that drive business insights and decision-making.
• Experience working with large datasets and departments in a complex organizational environment.
• Excellent communication and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.
• Strong analytical, problem-solving, and critical-thinking skills, with a passion for driving business value through data-driven decision-making.
• Previous scripting or programming experience
• Knowledge of systems, processes and the application of IT to the business
• Experience working with key business users to design, configure, and modify BI tools and deliverables to meet business requirements
• Familiarity with manufacturing environment
• SAP knowledge is desirable

Technical / Functional Skills:

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of data/ information with attention to detail and accuracy and derive insights from these data sets
• Adept at queries, report writing and presenting findings
• Knowledge of change control processes • Knowledge of system delivery lifecycle
• Documentation skills
• Ability to deal with unexpected problems in a professional manner
• Good knowledge of SQL, data modeling and design

Behavioral Competence:

• Good Written and verbal communication – to communicate across business lines and report on findings and processes to executives and employees
• Ability to communicate and interact with all levels of system users (written and verbal).
• Comfortable with a dynamic, fast paced work environment
• Ability to engage with internal clients.
• Ability to analyse complex situations and propose a variety of alternative courses of action.
• Ability to work in a multicultural environment
• Customer / end-user service orientation
• Excellent interpersonal skills
• High level of attention to detail as role is data-driven