Data Analyst

1 day ago

Nairobi, Nairobi Area, Kenya ARXERN Full time $70,000 - $120,000 per year

Job description Data analyst

Location
: Nairobi/Kenya

Experience Level
: Open to all passionate individuals with the right skills and aslo skilled in web scraping.

Compensation: Profit-sharing model (No salary initially, compensation after the first profit cycle)

About Arxern

Arxern is a startup leveraging cutting-edge technology, to address challenges in Kenya's financial sector. Build a tech-first investment platform for Kenyan investors to track, analyze, and automate portfolios . we are on a mission to transform Kenya's fintech landscape and foster economic growth. Join our dynamic team and unlock new opportunities for growth and success. Be part of something impactful and take your skills to the next level

What We Offer

An opportunity to be part of a purpose-driven startup at the forefront of innovation. A collaborative and dynamic work environment where your contributions directly impact our growth.

Profit-sharing compensation model

Your efforts will be rewarded when we succeed together. A chance to make a meaningful difference in Kenya's financial sector. How to Apply If you're excited about leveraging data to drive innovation and want to be part of Arxern's journey to transform Kenya's investment market, we'd love to hear from you Send your application and CV to Join us in creating solutions that will shape Kenya's future Industry Tech Employment Type Full-time Industry Technology, Information and Internet

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for performing data analytics and data modeling, conducting statistical analyses, and applying analytical skills to interpret data. The Data Analyst will also be tasked with effectively communicating findings and insights to both technical and non-technical stakeholders. Daily tasks include data collection, data cleaning, data visualization, and generating reports.

Qualifications

  • Strong Analytical Skills and proficiency in Data Analytics
  • Knowledge and experience in Statistics
  • Proficiency in Data Modeling
  • Excellent Communication skills to convey complex information
  • Proficiency in using data analytics tools and programming languages such as Python, R, or SQL is preferred
  • Experience with AI and machine learning techniques is a plus
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Ability to work independently and collaboratively in a remote setting
  • Attention to detail and problem-solving skills

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