Responsibilities;-Data extraction and transformation from various sources using SQL and Python - Conducting exploratory data analysis using Jupyter Notebook to identify trends and insights - Develeoping and Maintaining robust dashboards and reports in PowerBI to visualize data effectively- Ensuring data accuracy, integrity and consistency across all projects- Presenting findings and recommendations to stakeholders in a clear and concise manner

• Currently designing and implementing mobile data collection tools using ODK and MS Access. • Actively supporting data collection for ongoing and new primary research studies• Conducting ongoing data cleaning, management, and analysis using Stata, ensuring data integrity and accuracy. • Executing both qualitative and quantitative data analyses• Developing summary reports an briefings to summarize research findings• Supporting ongoing data visualization efforts and facilitating the sharing of insights through user-friendly dashboards/platforms. • Ensuring timely reporting of supported activities to donors while maintaining data consistency. • Preparing monthly, quarterly, and annual reports for program teams, highlighting key findings and trends. • Currently reviewing and updating program data collection tools to align with program and donor requirements. • Performing data extraction in the KenyaEMR using MySQL• Continuously designing, enhancing, and maintaining live databases for long-term data storage and backups. • Managing record scanning, filing, and archival processes in accordance with departmental procedures, ensuring data security and confidentiality. Additionally, overseeing technology security measures to safeguard data integrity. • Conducting literature reviews for ongoing research studies

• Conducting Desktop Reviews: Perform thorough desktop reviews as part of data collection process, gathering relevant information to inform research initiatives and decision-making.• Data Collection Coordination: Direct and oversee process of gathering relevant data, ensuring adherence to established protocols and standards for accurate and comprehensive data collection.• Analysis: Manage analysis phase, overseeing application of appropriate analytical methods and techniques to extract meaningful insights from collected data.• Dissemination Strategy Development: Strategize and plan dissemination of research findings, identifying key stakeholders and determining most effective channels and approaches for sharing insights within academic community.• Utilization Promotion: Advocate for utilization of research insights within academic community, facilitating discussions and collaborations to encourage integration of findings into teaching, learning, and decision-making processes.

• Designing and developing both qualitative and quantitative (mixed method) research methodologies. Developing mobile data collection tools in ODK and CommCare • Data Management, Analysis, Interpretation and Visualization using Power BI• Conducting routine data collection and entry for various projects. Ensuring this data is clean, complete and consistent• Participating in capacity building and mentorship activities for field staff in data collection and cleaning• Statistically analyzing quantitative data using Stata, SPSS, and R • Providing administrative support to the technical teams for workshops, training, and meetings• Performing any other official duty assigned by the supervisor• Data modelling• Impact evaluation using interrupted time series model

• Develop and maintain databases for efficient data storage and retrieval, ensuring completeness and organization. • Utilize statistical techniques and analytical tools to analyze large datasets, extracting actionable insights and identifying trends and correlations. • Interpret findings and present them clearly to stakeholders, including senior management, in a concise manner. • Prepare regular reports and dashboards, visualizing data using charts and graphs to facilitate understanding and decision-making. • Customize reports and dashboards according to the specific requirements and preferences of different stakeholders. • Develop forecasting models to predict sales trends, customer behavior, and market demand, aiding in strategic planning. • Collaborate with cross-functional teams to incorporate predictive insights into business operations and strategic initiatives. • Proactively identify areas for process improvement in data collection, analysis, and reporting, recommending and implementing innovative solutions. • Perform data cleaning and management tasks, along with data analysis and manuscript writing

• Ensuring the integrity and quality of data through systematic cleaning and organization, guaranteeing accurate and reliable analysis. • Conducting thorough analysis of quantitative data using statistical techniques to derive meaningful insights, facilitating informed decision-making processes. • Crafting comprehensive reports that effectively communicate findings and recommendations to stakeholders, while delivering engaging presentations to convey complex information in a clear and understandable manner.

Retrieved data from DHIS2 framework and EMREnsured qualitative and quantitative data collection, with strict adherence to the standard operating procedures Assisted with data entry and analysis Maintained confidentiality of all client recordsPerformed administrative duties, including consultations by County Statisticians.Routinely collated and summarized large datasets in Excel