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Data Analyst at CVPeople Tanzania

Job Overview

Data Analyst at CVPeople Tanzania

Data Analyst at CVPeople Tanzania

Data Analyst at CVPeople Tanzania

CVPeople Tanzania | Full time

Data Analyst

Dar es salaam, Tanzania | Posted on 06/18/2024

Job Description

Job Summary:

The Data Analyst will play a crucial role in leveraging data to drive business insights and improve decision-making processes. This role involves developing and implementing credit scoring models, utilizing AI and machine learning techniques to enhance credit risk assessment and prediction. The ideal candidate will have a strong background in data analysis, AI, and machine learning, with experience in the financial services or fintech industry.

Responsibilities

  • Analyze large datasets to extract meaningful insights and identify trends.
  • Develop and generate reports to support business decisions and strategies.
  • Present findings and recommendations to senior management and other stakeholders.
  • Develop and implement credit scoring models to assess and predict credit risk.
  • Utilize AI and machine learning techniques to enhance the accuracy and effectiveness of credit scoring models.
  • Continuously monitor and improve the performance of credit scoring models.
  • Apply machine learning algorithms to develop predictive models and enhance data-driven decision-making.
  • Collaborate with IT and data teams to integrate AI and machine learning solutions into existing systems and processes.
  • Stay informed about the latest advancements in AI and machine learning and apply relevant techniques to business challenges.
  • Ensure data integrity, accuracy, and security.
  • Implement data quality control measures and maintain comprehensive documentation.
  • Collaborate with other departments to ensure data consistency and availability.
  • Work closely with credit, risk management, and other teams to understand their data needs and provide analytical support.
  • Communicate complex data insights in a clear and actionable manner.
  • Participate in cross-functional projects and contribute to data-driven decision-making.
  • Identify opportunities to improve data analysis processes and tools.
  • Implement best practices for data analysis, AI, and machine learning.
  • Provide training and support to team members on data analysis techniques and tools

Requirements

Knowledge and Experience

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Finance, or a related field. Master’s degree preferred.
  • Proven experience as a Data Analyst, preferably in the financial services or fintech industry.
  • Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
  • Experience with AI and machine learning techniques and frameworks (e.g., TensorFlow, Scikit-Learn).
  • Demonstrated experience in developing and implementing credit scoring models.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Attention to detail and a commitment to data quality and integrity

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