Data Analysis and Reporting : Analyze business processes and data to identify trends, patterns, and insights. Create detailed reports and dashboards to support decision-making.
Requirements Gathering : Collaborate with stakeholders to gather and document business requirements. Translate these requirements into technical specifications for the data engineering team.
Data Engineering Concept : Have an understanding of data engineering concepts, including the principles of designing and maintaining data pipelines and ETL processes.
Project Management : Manage and track project progress, ensuring timely delivery of solutions. Communicate project status and updates to stakeholders.
Process Improvement : Identify opportunities for process improvements and recommend solutions to enhance efficiency and effectiveness.
Stakeholder Communication : Act as a liaison between business users and technical teams. Facilitate meetings and workshops to gather feedback and ensure alignment.
Qualifications :
Education : Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience : Minimum of 4+ years of experience as a Business Analyst, with a focus on data analysis and data engineering.
Technical Skills : Good Understanding on SQL, data modeling, and ETL processes. Understanding of data visualization tools (e.g., Power BI, Tableau) and data warehousing solutions.
Analytical Skills : Strong analytical and problem-solving skills. Ability to interpret complex data and provide actionable insights.
Communication Skills : Excellent verbal and written communication skills. Ability to convey technical information to non-technical stakeholders.
Project Management : Experience in managing projects and working in cross-functional teams. Familiarity with Agile methodologies is a plus.
Required Skills :
Knowledge of programming languages such as SQL and Python.
Understanding of data visualization and reporting tools (e.g., Power BI, Tableau).
Experience with cloud platforms (e.g., Azure, GCP).
Good to Have Skills :
Databricks : Experience with Databricks tool is a plus.
Certifications : Certifications in Databricks or Azure (or any relevant certifications) are highly desirable.
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