Lead Data Analyst

1 day ago

Nairobi, Nairobi Area, Kenya beBeeData Full time
Business Intelligence Analyst

As a Business Intelligence Analyst, you will leverage your expertise in data analysis and machine learning to drive business decision making. Your role will be to analyze complex datasets, develop predictive models, and collaborate with cross-functional teams to provide analytical solutions.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
  • Develop and implement predictive models and machine learning algorithms to solve complex business problems.
  • Collaborate with stakeholders to understand data requirements and provide analytical solutions that meet business needs.
  • Design and conduct experiments to test hypotheses and validate results.
  • Communicate findings and recommendations to stakeholders through presentations and reports.
  • Continuously monitor and improve model performance through regular updates and refinements.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work.
  • Build and maintain data pipelines to ensure the availability of data for analysis and reporting.
  • Work with data engineering teams to ensure data is collected and stored effectively for analysis.

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist or in a similar analytical role.
  • Strong programming skills in Python, R, or similar languages.
  • Proficiency in SQL and experience with relational and non-relational databases.
  • Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results.
  • Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, both verbal and written, in English and Arabic.

Preferred Certifications:

  • Certified Data Scientist (CDS)
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Cloud Professional Data Engineer
  • SAS Certified Data Scientist

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