Senior Analytics Executive at Dalberg

ABOUT YOU

You will report to the Data Processing Manager. You are a specialized executive tasked with analysing data using complex regression and predictive modelling techniques, creating analysis reports that capture insights from data, and coordinating with other departments/clients to ensure projects are delivered on time and of high quality.

You will be an active team member, contributing to internal knowledge sharing, best practice development and team engagement. While the role will be based in Nairobi, Kenya, it is a diverse role and will require frequent interaction and support of our team and clients in global locations. This is an excellent opportunity to use your existing data analysis and teamwork skills while growing your capabilities within a rapidly expanding company.

Minimum Qualifications and Experience requirements

• Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Computer Science or a related field.
• Minimum 5 years’ relevant work experience.
• Advanced knowledge of Microsoft Office Suite - Excel, Word and PowerPoint skills.
• Expertise with at least one data analysis software such as R, Stata or SAS.
• Expertise with statistical methods that includes descriptive and inferential statistics.
• Advanced knowledge of data visualization tools such as Power BI, R Shiny Dashboard or Tableau.
• Communicating clearly via written and spoken English.

Skills and Key Competencies

• Good report writing and presentation skills.
• High accuracy and attention to detail factoring every piece that might alter the validity of data.
• Ability to provide gainful insights and pragmatic solutions to Dalberg Research clients with a bias towards action and resolving issues quickly.
• Excellent creative and innovative problem-solving skills.
• Ability to collaborate with technical and non-technical teams to accomplish shared goals and objectives on time.
• Be self-motivated and proactive in executing the assigned roles.
• Unquestionable integrity, confidentiality and respect.
• You must also be able to demonstrate a genuine interest in and commitment to the field.

WHAT YOU WILL DO

• Support the delivery of projects and proposals within the Analytics subdepartment.
• Use statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Ensure that data analytics operations are properly documented to improve transparency and for future references.
• Advise clients and the project teams on relevant statistical approaches such as descriptive statistics, hypothesis testing, regression analysis, and predictive modelling.
• Exploring data to uncover trends and insights with the objectives of the project in mind.
• Creating data visualizations to effectively convey findings using Power BI, R Shiny dashboard or Tableau.
• Document data analysis results in a clear and concise manner.
• Present data analysis findings to project teams or clients.
• Liaise with other departments during proposal writing to inform the teams on data analytics procedures.
• Improve existing SOPs and standardize Data Analytics operations to optimize efficiency and quality.