Delivery of projects and proposals within the Analytics subdepartment.Using statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Ensuring data analytics operations are properly documented to improve transparency and for future references.Advising clients and the project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing, regression analysis… Show more Delivery of projects and proposals within the Analytics subdepartment.Using statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Ensuring data analytics operations are properly documented to improve transparency and for future references.Advising clients and the project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing, regression analysis, and predictive modellingExploring data to uncover trends and insights with the objectives of the project in mind.Presenting data analysis findings to project teams or clients Liaising with other departments during proposal writing to inform the teams on data analytics procedures.Improving existing SOPs and standardize Data Analytics operations to optimize efficiency and quality. Show less

Supporting the delivery of projects and proposals within the Analytics subdepartment.Using statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Ensuring data analytics operations are properly documented to improve transparency and for future references.Advising clients and the project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing… Show more Supporting the delivery of projects and proposals within the Analytics subdepartment.Using statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Ensuring data analytics operations are properly documented to improve transparency and for future references.Advising clients and the project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing, regression analysis, and predictive modellingExploring data to uncover trends and insights with the objectives of the project in mind.Presenting data analysis findings to project teams or clients Liaising with other departments during proposal writing to inform the teams on data analytics procedures.Improving existing SOPs and standardize Data Analytics operations to optimize efficiency and quality. Show less

Analyze data using statistical methods.Create reports to share findings and recommendations with the internal team and other stakeholders.Design dashboards for various projects.Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.Create statistical models that depict company-wide trends.Perform testing and validation of data sets.Determine the meaning of data and explain how various teams and leaders can… Show more Analyze data using statistical methods.Create reports to share findings and recommendations with the internal team and other stakeholders.Design dashboards for various projects.Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.Create statistical models that depict company-wide trends.Perform testing and validation of data sets.Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes.Document structures and types of business data. Show less

• Programming questionnaires for data collection on SurveyToGo, LimeSurvey, TeamHaven and ODK.• Data coding and editing.• Reporting the numbers collected on in-field surveys.• Ensuring quality of data collected on in-field surveys. • Data analysis using various software such as Excel, R-language, SPSS and Quantum.• Presentation of analysed data in form of charts and tables.

Designing data acquisition trialsAnalyzing trendsApplying statistical methodology to complex dataActing in a consultancy capacityData visualizationWriting well documented projects proposals and reports