Data Scientist role at Kuunda specializing in data analysis and financial innovation. Conduct exploratory data analysis and build dashboards for key performance indicators.
Responsibilities
Conduct in-depth exploratory data analysis using Python and statistical methods
Design, build, and maintain interactive dashboards and analytical reports using Qlik
Create and maintain clear documentation for data science models and analytical processes
Assist senior data scientists with data preparation and feature engineering
Execute data cleaning, transformation, and validation routines using SQL and Python
Collaborate closely with product managers and business analysts to translate business questions into measurable analytical approaches
Proactively stay current with data visualization best practices and emerging data science methodologies
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
3-5 years of experience in data analysis, academic research, or demonstrable data-focused personal projects
Working proficiency in SQL for querying data
Solid foundational skills in Python for data manipulation and statistical analysis
Hands-on experience with Qlik (View or Sense) for dashboard and report creation
Exposure or familiarity with dbt (Data Build Tool) or similar analytical engineering tools
Strong analytical and foundational problem-solving skills
Excellent verbal and written communication skills
Benefits
Performance-Based Rewards
Employee Share Option Plan (ESOP)
Long-Term Incentive Plan (LTIP)
Medium-Term Incentives (MTI)
Short-Term Incentives (STI)
Health & Wellbeing (Company paid for)
Compulsory Medical Aid through Discovery (Company contributed R4k)
Group Life Cover
Employee Assistance Program (EAP)
Wellness App
Opportunities for professional development and career growth
Flexible work arrangements and a supportive, inclusive work culture
An exciting and challenging work environment at the forefront of fintech innovation
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