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Business Intelligence Lead at Lafarge Cement

Lafarge CementLagos, Nigeria Data and Artificial Intelligence
Full Time
Lafarge Africa Plc is a leading Sub-Saharan Africa building solutions Company and member of the LafargeHolcim group. The vision of Lafarge Africa Plc is to be the most trusted and preferred partner of African construction professionals and home builders by delivering cement, concrete, aggregates and other building solutions that are best in quality, environmentally sustainable and nationwide available at affordable cost. Making urbanization a success is one of the challenges of this century and at LafargeHolcim, our ambition is to contribute to Building Better Cities. As a world leader in building materials, LafargeHolcim supports the metamorphosis of cities with innovative solutions that provide cities with more housing, making them more compact, more durable, more beautiful and better connected. For many years, Lafarge Africa Plc has been committed to a deliberate strategy of sustainable development that combines industrial know-how with performance, value creation, respect for employees and local cultures, environmental protection and the conservation of natural resources and energy. We put certain values at the forefront of the way we do business viz: health and safety, environmental protection, corporate governance (Ethics) and social responsibility (in the areas of education, health, youth empowerment, and shelter). We develop a highly competent workforce to operate our plants and businesses, through intensive training and exchange programmes. The company is committed to progress and attentive to the ever- changing needs of local communities. This is demonstrated by contributing to the improvement of their quality of lives in a sustainable manner through setting up local development programmes in key areas that have direct impacts on socio-economic well being of the people and their environment. More importantly, Lafarge Africa Plc endeavors to create more value for our customers, providing them with innovative and high quality products and solutions. Our well-known brands - Ashaka Portland Limestone Cement, Elephant Cement, Powermax Cement, Supaset Cement, UniCem Cement as well as Readymix Concrete and Aggregates - all stand for quality, consistency and long term strength which help deliver solutions that contribute to more housing for people, more compact buildings, better connected communities, more beautiful structures and more durable construction. For our concrete operations, we leverage on the Group's 50 years of experience in innovative concrete solutions and this puts us in the position to provide quality solutions that are designed to meet the specific needs of today's builders. Today, Lafarge Readymix operations have a production capacity of 3.5 cubic million metric tonnes in Nigeria. Building solutions Lafarge works with all actors in the building industry of Nigeria, from do-it-yourself builders to large construction companies, architects and local artisans. Whether supplying high-quality cement to a craftsman or helping leading architects explore and deliver creative possibilities, Lafarge Africa Plc is committed to providing solutions that fit the needs of all its clients. Lafarge Africa Plc's clients benefit from the technical expertise and product innovation that are the hallmark of LafargeHolcim, an international leader in building materials with a global presence in 90 countries and decades of experience. In Nigeria, LafargeHolcim offers a range of innovative and high-performance products.

About the role

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

Method of Application

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