Advanced Analytics Team Lead (Visualization / Analytics / Modelling) At CA Global In Lagos State

Job Details

Job Title: Advanced Analytics Team Lead (Visualization / Analytics / Modelling) At CA Global In Lagos State
Organisation: CA Global
Location:
Min Work Experience: 6 year(s)
Qualification: BA/BSc/HND
Industry:
Course: Computer Science, Mathematics /Statistics
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Job Vacancy Description

CA Global Headhunters is an international recruitment and staffing company with an in-depth focus on Recruitment in Africa. We recruit talent of the highest standard across African Sectors in Mining, Oil & Gas, Engineering, Banking, Finance, Legal, Insurance, Commodities and Agriculture. As the African markets further grow and develop, our skills and expertise simultaneously grow too, ensuring that we deliver the best service for both clients and candidates. Our extensive candidate network built up over 8 years comprises the most diverse, skilled and experienced candidates. We have access to resources, networks, and relationships globally which enable us to understand our clients’ cultures, operations, business strategies and industries. With offices in South Africa, Mozambique, China and Geneva we are always on par with new technologies and trends which assist us in sourcing the best talent. Whatever stage of the project life cycle, we can effectively put forward the right candidates with the right skills.

Job Title: Advanced Analytics Team Lead (Visualization / Analytics / Modelling)

Job Type: Full Time

Qualification: BA/BSc/HND

Experience: 6 years

Location: Lagos

Job Field: Research / Data Analysis 

Reference Number: SHR

 

Job Description:

  • A well-known finance company in Nigeria is seeking to employ an Advanced Analytics Team Lead responsible for delivering revenue impacting insights and identifying patterns to influence strategic or operational direction and provide support to analytics value chains through visualization, machine learning capability & AI whilst also promoting end user self-service.

 

Responsibilities:

  • Lead the implementation of Data Analytics as an enterprise capability in line with framework, analytics vision, strategies, road maps & projects
  • Continuously engage stakeholders to gather requirements, viewpoints and perspectives
  • Documents evolving state of analytics environment
  • Support the development and management of enterprise analytics requirements
  • Serve as subject matter expert on available visualization & analytical tools & methods i.e. features, capabilities and best practices
  • Lead analytics capability growth increments by conducting training/info sessions with analytics stakeholders and business users with the overarching objective of insight driven enterprise transformation
  • Keep abreast of changes in visualization tools marketplace and changes to existing enterprise tools
  • Provide quarterly change impact assessment on existing visualization tools & data science technologies and approaches where applicable
  • Develop analytics solutions leveraging a variety of available tools as assigned based on requirements and assigned priorities
  • Lead the building of ingestion processes to, prepare, extract, and annotate a rich data variety of structured & unstructured data sources
  • Serve as a resource on projects as required
  • Ensure that all analytics operations are aligned to the enterprise analytics strategy & initiatives are synchronized where possible

 

Requirements
Minimum years of experience

6

Qualifications
B.Sc
Other Requirements

Requirements: Qualification and Skill

  • Bachelor’s Degree in Mathematics, Statistics, Computer Science
  • 6 years’ work experience in statistical analysis or data analytics related roles
  • 5 years’ experience working with very large datasets
  • 3-5 years’ experience statistical and data modeling
  • Experience using modern data visualization & analytics tools/technologies e.g. Tableau, Power BI or similar tools
  • Experience with python, R, data profiling, SQL, NOSQL and other query methodologies
  • Experience with machine learning models
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