Chloe Njuguna
@chloenjuguna
I build data-driven insights and streamlined client onboarding workflows using analytics, visualisation, and statistical methods.
United KingdomWhat I'm looking for
I'm an EMEA Client Onboarding Analyst at Nomura, supporting efficient workflows across multiple referral entry points and ensuring tasks are completed promptly.
Through LSE's project-based data analytics accelerator, I analysed Bank of England speech sentiment against economic indicators and explored NHS utilisation trends to inform infrastructure and staffing recommendations.
I use Python, R, SQL, Excel, Tableau, SPSS, and statistical analysis to turn data into clear visualisations, dashboards, technical reports, and practical recommendations.
Experience
Work history, roles, and key accomplishments
Handling multiple referral entry points, ensuring tasks are executed promptly and efficiently to maintain a streamlined workflow.
Placed in Client Onboarding at Nomura.
Duty Support Officer (Barnet MASH - Children and families service)
Jun 2022 - Sep 2024 (2 years 3 months)
A Duty Support Officer is a Para-Professional whose decision making is reliant upon training and experience. A central part of this role is to provide enhanced administrative support to meet the demands of frontline practice and ensure that MASH professionals (e.g. Social workers, Police, Health and Housing) are able to deliver exceptional practice to Barnet residents. In essence we are the first
LSE Data analytics
Aug 2023 - Apr 2024 (8 months)
Completed a project-based data analytics career accelerator at LSE. I have been able to build on my degree level knowledge of exploratory and statistical analysis and expand my skillset in Excel, programming languages and visualisation tools.
Bank of England project:
In this project, I examined the Bank of England's role in maintaining market confidence through strategic speeches. Using custom se
Education
Degrees, certifications, and relevant coursework
The London School of Economics and Political Science (LSE)
Data analytics
Queen Mary University of London
Bachelor's degree, Psychology
2019 - 2022
Queen Elizabeth Girls' School
2011 - 2019
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Salary expectations
Job categories
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