Python Developer - Data Analytics

Job Description As a Python Developer - Data Analytics, you will play a crucial role in bridging technical development and business intelligence, collaborating with cross-functional teams to build data-driven solutions that provide actionable insights to customers. **Key Responsibilities:** - Collaborate with Product Management and Professional Services teams to gather requirements, estimate effort, and deliver projects on time. - Design, develop, and maintain interactive dashboards and reports to offer valuable business insights. - Create custom reports tailored to customer needs, identifying opportunities for scalable, reusable solutions. - Analyze customer requirements to determine feasibility through existing reports, enhancements, or new development. - Optimize data models and data warehouse architecture for efficient data retrieval. - Develop and maintain RESTful APIs for serving data from the warehouse. - Write clean, efficient, and maintainable Python and SQL code for analytics and reporting solutions. - Ensure data accuracy, consistency, and performance optimization across all deliverables. **Required Qualifications:** - 4+ years of hands-on experience in Python development and data analytics. - Strong proficiency in Python, including libraries such as Pandas and NumPy. - Advanced SQL skills with experience in complex queries and optimization in data warehouse environments. - Proven experience with data visualization and dashboard tools like Tableau, Power BI, or similar. - Experience in designing and developing RESTful APIs. - Solid understanding of data modeling and relational database design. - Ability to translate business requirements into robust technical solutions. - Strong analytical, problem-solving, and communication skills. - Experience with project estimation and managing delivery timelines. *Note: Preferred qualifications and additional details about the company are omitted from the provided job description.* As a Python Developer - Data Analytics, you will play a crucial role in bridging technical development and business intelligence, collaborating with cross-functional teams to build data-driven solutions that provide actionable insights to customers. **Key Responsibilities:** - Collaborate with Product Management and Professional Services teams to gather requirements, estimate effort, and deliver projects on time. - Design, develop, and maintain interactive dashboards and reports to offer valuable business insights. - Create custom reports tailored to customer needs, identifying opportunities for scalable, reusable solutions. - Analyze customer requirements to determine feasibility through existing reports, enhancements, or new development. - Optimize data models and data warehouse architecture for efficient data retrieval. - Develop and maintain RESTful APIs for serving data from the warehouse. - Write clean, efficient, and maintainable Python and SQL code for analytics and reporting solutions. - Ensure data accuracy, consistency, and performance optimization across all deliverables. **Required Qualifications:** - 4+ years of hands-on experience in Python development and data analytics. - Strong proficiency in Python, including libraries such as Pandas and NumPy. - Advanced SQL skills with experience in complex queries and optimization in data warehouse environments. - Proven experience with data visualization and dashboard tools like Tableau, Power BI, or similar. - Experience in designing and developing RESTful APIs. - Solid understanding of data modeling and relational database design. - Ability to translate business requirements into robust technical solutions. - Strong analytical, problem-solving, and communication skills. - Experience with project estimation and managing delivery timelines. *Note: Preferred qualifications and additional details about the company are omitted from the provided job description.*