Data Analyst – 637 Capital

Full time in Data Science , in Finance
  • Nairobi Area, Kenya View on Map
  • Post Date : April 26, 2021
  • Salary: KSh60,000.00 - KSh100,000.00 / Monthly
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Job Detail

  • Experience 2 Years
  • Industry Finance
  • 0

Job Description

About 637 Capital
637 (Get) Capital is a financial advisory and tech start-up disrupting the investment industry by
taking advantage of the most recent innovations. We are looking for a hard-working individual
who is passionate about the intersection of finance and technology Please find here a list of
selected clients in Financial Advisory. Please find further information on our product JibuLaw.

Analyst Role Description
We are looking for an analyst to join our small but growing team. The candidate must be passionate
and motivated in working with our clients to understand their problems and understand how
modern data science techniques can be employed to create value. The role also requires identifying
investment targets, assisting in structuring a capital raise process and matching the targets with
potential investors.

Main tasks
1. Analysis and visualization of data using Power BI
2. Translating data points into insights that drive business solutions through the application of
extensive analysis and modelling techniques
3. Data Science and Business Intelligence Services:
a. Data consolidation, cleaning, and preparation
b. Extract provable insights from historical data
c. Deliver compelling visual presentation on modern analytical tools that helps creating
interactive dashboards and reports (e.g: Power BI/Tableau/Muse.js)
4. Financial Advisory
a. Origination of potential targets
b. Information Memorandums
c. Financial Modelling
d. Performing in-depth industry, market, and competitor research e. Performing physical and
financial analysis and feasibility studies

Main requisites
1. Experience: 0-2 years
2. Kenyan nationality required, 2 nationalities better
3. Motivation: long work hours often unpredictable
4. Flexibility: start-up tasks change often
Required skills
1. Advanced Excel/Powerpoint
2. Power BI/Tableau
3. Financial & modelling skills
4. Python skills
5. Willingness and ability to learn new skills
Beneficial skills
CFA, PostgreSQL, NumPy & Pandas
Budget – 60K to 100K based on experience and skills.

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