Data Analyst - Python / Power BI

Responsibilities :

• Collect, clean, and transform data from various sources to ensure data quality and accuracy.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports, dashboards, and data visualizations using tools such as Tableau, Power BI, or similar.
• Apply statistical techniques and algorithms to analyze data and extract meaningful insights.
• Collaborate with business stakeholders to understand their data requirements and translate them into analytical solutions.
• Present data findings and recommendations in a clear and concise manner to both technical and non-technical audiences.
• Document data sources, data pipelines, and analytical methodologies.
• Monitor data quality and identify areas for improvement.
• Participate in data-related projects and initiatives, contributing analytical expertise.
• Stay up-to-date with the latest trends and tools in data analysis and :
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 3 to 6 years of professional experience as a Data Analyst.
• Strong proficiency in data manipulation and analysis using tools such as SQL and Python (with libraries like Pandas and NumPy).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to convey1 complex data insights effectively.
• Ability to work independently and collaboratively within a team.
• Strong attention to detail and a commitment to data Points :
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Familiarity with data warehousing concepts and technologies.
• Experience with statistical modeling or machine learning techniques.
• Experience with other programming languages like R

ref : hirist.tech)