Overview: 
Join our team as a Business Data Analyst, where you'll perform complex SQL queries, utilize time series analysis, and create insightful dashboards using tools like Tableau and Power BI. You'll leverage PyData libraries for data analysis and machine learning, collaborate with stakeholders to understand business needs, and provide actionable insights to drive strategic decisions. Proven experience with SQL, Python, and effective communication with stakeholders is essential. 

Responsibilities: 

• Perform complex SQL queries and data manipulations for analytical purposes, extracting relevant information from large datasets. 
• Utilize time series analysis techniques to identify trends, patterns, and anomalies in temporal data. 
• Create visually appealing and insightful dashboards and reports using visualization tools such as Tableau, Power BI, or matplotlib. 
• Leverage PyData libraries (e.g., pandas, NumPy) to perform data analysis, statistical modeling, and machine learning tasks. 
• Apply advanced analytical techniques to handle and process large datasets efficiently in a professional setting. 
• Collaborate with stakeholders to understand business requirements, translate them into analytical solutions, and communicate findings effectively. 
• Derive actionable insights from data analysis, providing valuable recommendations to drive business decisions and strategies. 

Qualifications: 

• Experience with SQL, Python, Power BI, Basic Linux, and Basic Software Development 
• Experience in communicating with stakeholders of analytical projects, translating business requirements into actionable insights, and presenting findings effectively. 
• Proven track record of deriving valuable insights from data analysis, influencing business decisions, and driving strategic initiatives.