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Data Analyst

Fatherland

Software & Data

Healthcare NGN 250,000 - 400,000
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Job Summary

We are seeking an experienced Data Analyst with a strong background in Excel, Google sheets or BI platforms that can analyze data to join our team in Ikoyi, Lagos.

  • Minimum Qualification : Degree
  • Experience Level : Mid level
  • Experience Length : 3 years

Job Description/Requirements

Responsibilities:

Data Collection & Management:

  • Configure and manage JotForms or other survey platforms to capture required data.
  • Ensure the accuracy and completeness of collected data through validation and verification processes.
  • Regularly monitor form submissions for errors or anomalies.


Analysis & Reporting:

  • Extract and organize data from JotForms into structured datasets for analysis.
  • Use tools like Excel, Google Sheets, or BI platforms (e.g., Tableau, Power BI) to analyze and visualize data.
  • Provide detailed and actionable reports to stakeholders, highlighting trends, patterns, and key insights.


Form Design & Optimization:

  • Collaborate with stakeholders to design user-friendly, effective forms tailored to specific project needs.
  • Continuously optimize forms for usability, ensuring high response rates and data quality.


Administrative Duties:

  • Maintain a secure and organized database of survey responses and reports.
  • Coordinate with cross-functional teams to understand data requirements and align deliverables.
  • Prepare documentation and SOPs for survey-related workflows and data processes.


Quality Assurance:

  • Conduct regular audits of forms, data, and reports to ensure compliance with organizational standards and data privacy regulations.
  • Troubleshoot and resolve technical issues related to form submission or data exports.


Requirements:

  • Bachelor's degree in Data Analytics, Information Systems, Statistics, or a related field (or equivalent experience).
  • 3 years of proven experience in data collection and analysis (preferably using JotForms or similar platforms).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytical software (e.g., Excel, R, Python).
  • Proficiency in managing survey platforms and data pipelines.
  • Strong knowledge of database management and data security best practices.
  • Excellent organizational and time management skills.
  • Strong communication skills to present findings to non-technical audiences

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