Description

This is a full-time on-site role for a Data Analyst at HABTech Solutions in Addis Ababa, Ethiopia. The Data Analyst will be responsible for tasks spanning the domains of data engineering, data analytics, and data science, including:

• Design and implement data ingestion, record linking, and modeling processes.
• Develop and maintain ETL pipelines using open-source tools like Apache Airflow, Airbyte, dbt, or Python-based tools such as pandas.
• Manage databases and perform administrative tasks on platforms such as PostgreSQL and cloud infrastructures like Ethio TeleCloud.
• Develop data warehouses to support reporting and analytics.
• Create interactive dashboards and reports using Power BI or other BI/Visualization tools.
• Collaborate on projects that support the company’s digital systems and consulting services.
• Analyze data and provide insights to support decision-making.
• Ensure data security, privacy, and compliance across all projects.
• Develop and execute data collection strategies from various sources.
• Clean and transform raw data to ensure accuracy and consistency.
• Perform statistical analysis and identify trends and patterns in data.
• Create compelling data visualizations to communicate insights effectively.
• Partner with business teams to translate data insights into actionable recommendations.
• Design and develop scalable data pipelines for ingestion, transformation, and loading.
• Implement data quality checks and procedures.
• Automate data processing tasks and troubleshoot data-related issues.
• Develop and implement machine learning models to solve business problems.
• Collaborate with stakeholders such as the Ministry of Health, Regional, Zonal, and District Health Office personnel during the phases of data analytics projects.
• Prepare training materials and conduct data analytics training for stakeholders.
• Stay up-to-date on the latest data analysis and big data technologies and tools.

Qualifications

• Technical Skills
  • Strong proficiency in Python and other programming languages and tools.
  • Experience with data engineering concepts, including data modeling and ETL processes.
  • Experience working in cloud platforms.
  • Familiarity with scalable and sustainable digital systems in sectors such as health.
  • Experience with data warehousing and analytics, including query optimization and database tuning.
  • Experience with relational databases, SQL queries, and column databases.
  • Experience with version control systems like Git and working in Agile teams.
  • Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn) is a plus.
  • Understanding of data security and privacy measures.
• Education
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, or a related field with a CGPA of 3.5 and above.
  • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate, Google Cloud Data Engineer) are a plus.
• Soft Skills
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, with the ability to explain complex technical concepts.
  • Ability to adapt to rapidly changing environments and work collaboratively in cross-functional teams.
  • Strong teamwork, self-motivation, and the ability to work independently when required.

●Qualified candidates should submit their applications before Sep 27, 2024.