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Data Analyst at Talent Lab Limited

Talent Lab LimitedNigeria Data and Artificial Intelligence
Full Time
Talent Lab is an indigenous talent capacity development and talent management organization  that facilitates capacity-building interventions to upskill people within the mass labor market, serves as  an aggregator for employers and employees, and is a recruiter of top talents for businesses and  organizations. 

Description and Objectives

  • The Data Analyst will support the day-to-day implementation of the special intervention program by providing technical assistance in data analytics and data management support to the state EOC/PHCDA across special intervention states

Key Responsibilities / Technical Assistance
Pre-campaign:

  • Develop and maintain databases and dashboards to store and manage program data
  • Conduct a pre-campaign analysis of the MLoS to ensure completeness and accuracy
  • Assist with settlement geo-coordinates analysis to ensure that all planned settlements have coordinates.
  • Analyze pre-campaign dashboard data to determine the state’s level of campaign preparedness, and identify delayed activities and bottlenecks.

Campaign:

  • Collate polio vaccination data from LGA consultants or STFs
  • Conduct daily data entry onto the call-in data template/dashboard
  • Work with the SIO and state coordinator to ensure the timely submission of reviewed tally sheets
  • Review and analyze daily vaccination and supervision data to identify trends, patterns, and key insights and deduce inferences to foster strategy development and disseminate to the team for better planning. Key metrics to analyze include:
    • Daily vaccine coverage rates against the set target
    • Number of missed communities and households
    • Vaccine usage and wastage rates by location
    • Several AFP reports
    • Field team supervision reports
    • Vaccine hesitancy rates
    • Social mobilization data, and others as appropriate for the context.

Post-campaign:

  • Conduct data quality assessment and validate data from multiple sources across supported states, address data quality gaps share reports for proper intervention and planning
  • Track key performance indicators on the program
  • Prepare reports and presentations to communicate findings and recommendations to relevant stakeholders
  • Regularly monitor and review program activities to ensure quality, accountability, and contractual compliance with agreed deliverables and performance indicators as per the scope of work

Stakeholders’ engagement/meetings:

  • Collaborate with other team members and stakeholders to identify data needs and ensure data quality standards are met
  • Participate in regular meetings and discussions to provide updates on data analysis and insights.

Other Responsibilities:

  • Participate in partner problem-solving and learning sessions to share knowledge, best-practices, challenges and progress on program implementation.
  • Engage actively with relevant stakeholders to foster a good relationship with the organization.
  • Support any other tasks as may be required by the Program Manager and Project Director

Educational Qualification

  • Minimum of a Bachelor’s Degree in Public Health, Epidemiology, Monitoring & Evaluation, Demography, Biostatistics, Statistics, Analytics, Science / Computer Science or a related field is required.
  • 2 years work experience.

Required competencies:

  • Strong skills in data analysis using Microsoft Excel and other relevant software.
  • Experience with data visualization tools such as MS PowerPoint, Tableau etc
  • Ability to work effectively in a fast-paced environment, manage multiple tasks and priorities, and meet tight deadlines
  • Excellent verbal and written communication skills, with the ability to clearly and concisely communicate complex data analysis to non-technical stakeholders
  • Strong interpersonal skills, with the ability to work effectively in a team environment
  • Proficient use of Microsoft Office applications; Word, Excel, PowerPoint
  • Knowledge of information management systems architecture

Method of Application

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