Data Analysis Officer

1. Job Summary We are seeking a highly analytical, detail-oriented, and results-driven Data Analysis Officer to join our team. The successful candidate will collect, clean, analyze, interpret, and present data to support business decisions, research activities, performance monitoring, and organizational planning. The ideal candidate should have strong analytical and numerical skills, proficiency in data analysis tools, and the ability to transform raw data into meaningful insights, reports, dashboards, and practical recommendations.

2. Key Duties and Responsibilities Collect, consolidate, clean, and validate data from multiple sources. Analyze quantitative and qualitative data to identify trends, patterns, relationships, and performance gaps. Develop statistical summaries, tables, charts, and visualizations. Prepare periodic analytical reports for management and relevant stakeholders. Design and maintain dashboards to monitor key performance indicators. Use statistical and analytical methods to support research and business decisions. Identify data inconsistencies, outliers, missing values, and potential errors. Interpret findings and provide evidence-based recommendations. Support market research, customer satisfaction surveys, monitoring and evaluation, and operational performance reviews. Maintain organized datasets, data dictionaries, and analysis documentation. Collaborate with research teams, data collection officers, project officers, and other departments. Ensure data confidentiality, integrity, and compliance with approved data management procedures. Perform other relevant duties assigned by management. 3. Academic Qualifications Applicants should possess the following qualifications: Minimum Academic Requirements A Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Information Technology, Business Analytics, Actuarial Science, or another relevant quantitative discipline from a recognized university. A solid understanding of statistics, data interpretation, research methods, and analytical techniques. Good numerical reasoning and problem-solving skills. Additional Qualifications The following will be an added advantage: A master's degree in Data Science, Statistics, Applied Mathematics, Economics, Business Analytics, or a related discipline. Professional certification or training in data analytics, business intelligence, statistical analysis, or database management. Training in Microsoft Power BI, Tableau, SQL, Python, R, SPSS, or Stata. Training in research methodology, monitoring and evaluation, or data visualization. Academic Documentation Shortlisted applicants may be required to provide: Copies of academic certificates and relevant transcripts. Copies of professional or technical certifications, where applicable. Verification or recognition of foreign qualifications where required by the relevant Kenyan authority. 4. Professional Experience At least one to three years of relevant experience in data analysis, business intelligence, statistics, research, or reporting is recommended for an experienced position. Entry-level candidates with strong analytical skills, relevant academic projects, internships, or practical portfolios may be considered. Experience working with large datasets and preparing analytical reports is desirable. Experience in market research, customer analytics, financial analysis, monitoring and evaluation, or operational reporting is an advantage. 5. Technical Skills and Competencies The successful candidate should demonstrate: Proficiency in Microsoft Excel, including formulas, pivot tables, charts, and data validation. Knowledge of statistical analysis and interpretation. Ability to clean, transform, and organize datasets. Familiarity with SQL and relational databases. Experience with at least one analytical tool such as Python, R, SPSS, or Stata. Familiarity with dashboard tools such as Power BI or Tableau. Ability to prepare clear reports and communicate findings to non-technical audiences. Strong critical thinking, problem-solving, and attention to detail. Knowledge of data quality assurance and documentation. Good written and verbal communication skills. 6. Personal Attributes Applicants should demonstrate: Analytical thinking and intellectual curiosity. Accuracy and attention to detail. Integrity and professional ethics. Ability to meet deadlines and manage competing priorities. Effective communication and presentation skills. Teamwork and collaboration. Ability to work independently with minimal supervision. Willingness to learn new analytical tools and methods. Commitment to responsible and confidential data handling. 7. Employment and Compliance Requirements Depending on the role, successful candidates may be required to undergo: Verification of identity and eligibility to work in Kenya. Verification of academic and professional qualifications. Reference and relevant employment history checks. Practical data analysis or technical assessments. Compliance with organizational data security and confidentiality policies. Compliance with applicable data protection laws, including the Data Protection Act, 2019, where relevant. Any additional clearance or medical requirement should be relevant, lawful, and proportionate to the position. 8. Key Performance Indicators Performance may be assessed using the following measures: Accuracy and reliability of analytical outputs. Timeliness of reports and dashboards. Quality of data cleaning and validation. Effectiveness in identifying meaningful trends and insights. Relevance and usefulness of recommendations. Accuracy of performance indicators and statistical summaries. Compliance with data security and documentation standards. Ability to meet agreed project and reporting deadlines. 9. Required Application Documents Interested applicants should prepare: An updated CV detailing academic qualifications, analytical skills, and work experience. A cover letter explaining their suitability for the position. Copies of relevant academic certificates. Copies of relevant professional or technical certifications, if available. Contact details for professional referees, where requested. A portfolio, sample dashboard, analytical report, or academic project, where available and requested. Applicants should not submit original certificates or unnecessary sensitive personal information during the initial application stage. 10. How to Apply Interested and qualified candidates should follow these steps: Visit https://jobs.helaworks.co.ke/ Create a candidate account on the HelaWorks Kenya jobs portal. Complete your candidate profile and upload your updated CV. Browse the available job vacancies. Select the Data Analysis Officer vacancy and carefully review the requirements. Submit your application online after uploading your CV. Ensure that your CV and candidate profile contain accurate, up-to-date information. Only shortlisted candidates may be contacted for interviews or technical assessments. Application Deadline: To be announced. Equal Opportunity and Recruitment Safety The employer should assess applicants fairly against the stated requirements and applicable employment law. Reasonable accommodation should be considered for candidates with disabilities.