Senior Digital Analyst at Multinational Technologies Limited (MTL)

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
13 days ago

Additional Details

Job ID
125993
Job Views
31

Job Description






Responsibilities Include but not Limited to the Following




  • Analyze Digital Operations Data: Track and analyze data from digital tools used in engineering workflows, project management platforms, and operational dashboards.

  • Project Performance Insights: Provide data-driven insights on project timelines, resource utilization, cost efficiency, and productivity metrics.

  • Support Digital Transformation: Drive adoption and optimization of digital tools and platforms across engineering, procurement, and maintenance functions.

  • Develop Dashboards & Reports: Create real-time reporting systems for engineering and executive teams to monitor KPIs, compliance, and risk indicators.

  • Enhance Data Collection Systems: Ensure proper setup of data tracking across engineering software (e.g., BIM, ERP, CMMS) to support business intelligence.

  • Collaborate with Technical Teams: Work with engineering, IT, and operations teams to improve data quality, automate reporting, and solve system inefficiencies.

  • Identify Optimization Opportunities: Recommend improvements in digital processes, workflows, and system integrations to boost overall performance.



Requirements




  • HND/B.Sc. degree in relevant discipline, preferably in Computer Science, Data Science, Engineering or Science disciplines with at least 7 years’ experience in a similar or related position

  • Familiarity with Scrum and agile practices; Ability to adapt to changing business priorities; Solid coding skills in Python, R, or Scala

  • Experience with common Python data science libraries, Mat lab, R, PowerBI, Alteryx, Web Apps

  • Solid understanding of AWS, Azure, Google Cloud

  • Ability to apply Machine Learning, Optimization, Deep Learning, or Big Data techniques to solve real-world problems

  • Ability to conduct independent quantitative research.



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