Key Responsibilities:
· 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.