As a Lead Business Analyst specializing in Business Intelligence and R Shiny development, you will play a crucial role in driving the strategic development of the in-house merchandising Shiny dashboard. Your responsibilities will include: - Leading the design, enhancement, and long-term roadmap of the Shiny dashboard to ensure scalability, reliability, and high user adoption. - Collaborating with business leaders, merchants, and sales teams to translate business needs into BI solutions that drive measurable impact. - Building and optimizing SQL data pipelines for reliable reporting and analytics. - Developing new features and automation tools to streamline merchant processes and enhance efficiency. - Serving as a subject-matter expert for BI tools and processes, guiding best practices in analytics, data visualization, and automation. - Mentoring and supporting junior analysts on technical and analytical skills. - Collaborating with IT, data engineering, and other departments to ensure alignment and integration across systems. Qualifications for this role include: - Proficiency in SQL, R, and Shiny, with experience in workflow orchestration (e.g., Apache Airflow) considered a strong plus. - A degree in Information Systems, Data Science, Computer Science, Statistics, Mathematics, or related technical/business field. - 4+ years of experience in BI/analytics, including at least 3 years in R Shiny development. Prior experience leading projects or teams is highly preferred. - Strong analytical, problem-solving, and business analysis skills bridging technical and business perspectives. - Excellent communication skills with a proven track record of presenting to leadership and influencing decisions. - Self-starter with a history of driving initiatives from concept to delivery.,
Role Overview: As a Business Intelligence Analyst (R Shiny Developer) at MCGI Private Limited in Kochi, India, your primary responsibility will be to collaborate with the U.S.-based business analytics team. You will focus on maintaining and enhancing the in-house Shiny dashboard, developing new functionalities and automation, and supporting business intelligence and data engineering needs. Key Responsibilities: - Maintain, optimize, and enhance the Shiny dashboard to ensure reliability and performance. - Develop SQL data pipelines to support merchants and the business analytics team. - Create new features and automation to streamline merchandising processes. - Collaborate with merchants, sales, and stakeholders to identify and implement data-driven solutions. Qualifications: - Proficiency in SQL, R, and Shiny (experience with Apache Airflow is a plus). - Bachelor's degree in Information Systems, Mathematics, Data Science, Computer Science, Statistics, or a related STEM field. - Minimum of 2-3 years of R Shiny development experience. - Strong analytical, problem-solving, and communication skills. - Ability to work both independently and in collaborative team environments.,
As a Business Intelligence Analyst (R Shiny Developer) at MCGI Private Limited in Kochi, India, your primary responsibility will be to collaborate with the U.S.-based business analytics team. You will focus on maintaining and enhancing the in-house Shiny dashboard, developing new functionalities and automation, and supporting business intelligence and data engineering needs. Key Responsibilities: - Maintain, optimize, and enhance the Shiny dashboard to ensure reliability and performance. - Develop SQL data pipelines to support merchants and the business analytics team. - Create new features and automation to streamline merchandising processes. - Collaborate with merchants, sales, and stakeholders to identify and implement data-driven solutions. Qualifications: - Proficiency in SQL, R, and Shiny (experience with Apache Airflow is a plus). - Bachelor's degree in Information Systems, Mathematics, Data Science, Computer Science, Statistics, or a related STEM field. - Minimum of 2-3 years of R Shiny development experience. - Strong analytical, problem-solving, and communication skills. - Ability to work both independently and in collaborative team environments. If you are enthusiastic about utilizing data, automation, and business intelligence to drive value, we are excited to hear from you!,