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Data and Innovation Officer at Pan African Capital

Pan African CapitalLagos, Nigeria Data and Artificial Intelligence
Full Time

PanAfrican Capital Holdings Limited is a Proprietary Investment Company with special focus on Key Sectors across Africa including Financial Services, Hospitality & Entertainment, Real Estate & Infrastructure, Agro-Allied & FMCG, Healthcare and Technology & Payment Systems.

As a Proprietary Investment Company, our specialist subsidiary companies across our chosen sectors are geared towards offering strategic investment solutions and unlocking value across emerging and frontier markets.

  • To support the organizations drive for innovation, leveraging data for new product development, process improvement and enhance existing products and services
  • Collaborate with IT for database performance management, security, installations, upgrades, patches, backup, recovery, and capacity planning.
  • Proactively monitor and maintain database environments, ensuring optimal performance and capacity planning.
  • Collaborate with each department and other team members to create and deploy disruptive products.
  • Develop and manage backup and recovery processes, including disaster recovery.
  • Provide IT support to colleagues via a remote service desk or in a face-to-face capacity, helping set up systems, user accounts and resolve issues.
  • Conducts research regularly to stay current and abreast of emerging and innovative practices to help business growth.
  • Support our data and digital strategies in delivering more efficient services to clients
  • Ensure database security, roles, and profiles are properly managed.
  • Design and implement normalized database structures that meet strict security requirements.
  • Provide on-call support for 24/7 database coverage.
  • Ensure data accuracy and quality for upload to applications.
  • Develop standards for data handling and archiving.
  • Maintain data management plans and instructions.
  • Collaborating with team members to collect and analyze data
  • Oversee integration of new technologies into data standards.
  • Structuring large data sets to find usable information
  • Evaluate database changes against business requirements.
  • Assess system performance and recommend improvements.
  • Interpret data and communicate the results in a manner that is understood by the business.

Education / Business Degree     

  • BSc/HND Computer science/Data Science/Information Tech or related field
  • Strong expertise in data manipulation tools(Power BI, Tableau, Looker)
  • Strong Analytical Skills
  • Strong communication skills to explain complex data to non-technical stakeholder.

Knowledge 

  • Experience with modern database technology
  • Troubleshooting of hardware (server, laptop, printers
  • Microsoft Application knowledge 

Skills 

  • Strong database administration skills.
  • Experience with RDBMS and database design.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills for technical and non-technical stakeholders.
  • Ability to work under pressure and meet deadlines.
  • Strong time management and organizational skills.
  • Experience with data security and compliance.
  • The ability to use digital tools and technology to improve business performance and client services.
  • A desire to use innovation to continuously improve services.
  • Ability to analyze and interpret large datasets.
  • Good understanding of the capital market

Behavioural Qualities 

  • Goal Getter
  • Team Player
  • Strong knowledge of data tools and technologies
  • Ability to drive change
  • Problem solving
  • Time management

Key Performance Indicators

  • Ensure daily, weekly and monthly back up of data, back up of data at offsite locations.
  • Secure and safe data on and off site
  • Ensure seamless dividend payment
  • System support
  • Achieve clean data across all data set
  • Tracking the origin and movement of data within the organization
  • Number of new products or improvements introduced into the market
  • Number of idea generation and Idea conversion rate
  • Data integration success rate
  • Customer satisfaction with new products

Method of Application

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