Data Analyst

Kenex Konsults InternationalPort Harcourt & Rivers Stateroam-ngpublished 10/22/2026
Must-have:PythonDataSecurity

Your tasks

  • Collect, clean, validate, and organize data from multiple sources to ensure accuracy and consistency.
  • Analyze large datasets to identify trends, patterns, opportunities, and potential business risks.
  • Prepare regular reports, dashboards, and visual presentations to communicate findings to management.
  • Use tools such as Microsoft Excel, SQL, Power BI, and Tableau to analyze and visualize data.
  • Develop and maintain dashboards, performance metrics, and key performance indicators (KPIs).
  • Interpret business data and provide actionable recommendations to support strategic planning and decision-making.
  • Monitor business performance and identify areas for improvement through data analysis.
  • Collaborate with different departments to understand reporting needs and provide relevant insights.
  • Verify data accuracy and resolve inconsistencies, missing values, and reporting discrepancies.
  • Automate recurring reports and improve data collection, processing, and reporting procedures.
  • Maintain organized databases and documentation of data sources, analytical methods, and reporting processes.
  • Conduct market, customer, operational, and financial data analysis as required.
  • Ensure data confidentiality, security, and compliance with applicable data protection policies.
  • Present analytical findings clearly to both technical and non-technical stakeholders.
  • Perform other data-related duties as assigned by management.

Requirements

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • Proven years of experience in data analysis, business intelligence, or a related role; relevant practical experience may be considered.
  • Proficiency in Microsoft Excel, including pivot tables, lookup functions, formulas, and data cleaning.
  • Working knowledge of SQL for querying and managing databases.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Knowledge of statistical analysis, data interpretation, and reporting techniques.
  • Familiarity with Python or R for data analysis is an advantage.
  • Strong analytical thinking, problem-solving, and attention to detail.
  • Ability to identify trends and translate data into actionable business insights.
  • Excellent written and verbal communication skills.
  • Good organizational skills and ability to manage multiple tasks and deadlines.
  • Ability to work independently and collaboratively within a team.
  • High level of integrity and commitment to data accuracy and confidentiality.