Senior Data Analyst

Responsibilities

• Create database systems and applications.
• Develop complex data analysis, methodologies, and predictive data models for assessing the business areas or industries the organization is focused on.
• Use data findings to analyze and predict trends in the customer base and amongst the organization's targeted consumer population as a whole.
• Ensure regular and consistent database updates and management processes are in place to maximize information gathering and utilization.
• Engage with internal and external stakeholders for research topics, refine research questions and design analytical protocols.
• Develop systems and tools for effective data management, visualization and interpretation (systems design, dashboards, information graphics, mapping, Tableau).
• Work closely with executive management and other internal stakeholders by providing technical assistance, building understanding about data usage.
• Manipulate and link different data sets using data mining, providing the business with accurate, relevant and timely data, identifying correlations and patterns, research and performance information that contributes to a culture of continuous improvement, enhanced efficiency and evidence-based decision-making for the organization.

Qualifications & Professional Experience

• BSc.in a relevant discipline such as mathematics, statistics, computer science/ engineering or other related field. A master’s degree will be an added advantage.
• Minimum of four (4) years proven experience in a data analyst position. Experience working with major datasets in health care would be an added advantage.
• Statistical/ data analysis certifications will be an added advantage
• In depth knowledge of statistical methodologies and data analysis techniques.

Core Skills & Functional Competencies:

• Strong IT and mathematical skills.
• Strong verbal and written communication skills to effectively share findings with stakeholders.
• Ability to pay attention to detail when working with data to make accurate conclusions and predictions.
• Strong analytical and problem-solving skills.
• Excellent research and troubleshooting skills.
• Proficiency in statistical programming languages such as STATA, SPSS.
• High Proficiency in Excel, with mastery using pivot and Lookup Tables, familiarity with VBA.
• High Proficiency with Power BI, Power Query, Tableau etc.
• At least basic knowledge of programming languages will be an added advantage

Remuneration: NGN 350,000 - 425,000

• HMO
• Pension
• Performance Bonus