Job Title : Data Analyst Location : Remote Introduction: We are seeking a highly skilled and experienced Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data science, with expertise in R Programming Language, Python, and Visual Basic for Applications (VBA). This role involves a high level of technical proficiency and the ability to communicate complex data in a clear and actionable manner. The Data Analyst will be responsible for developing scripts to automate data analysis, creating visualizations, and building RShiny applications to meet user requirements. If you have a passion for data and are looking for an opportunity to make a significant impact within a forward-thinking organization, we encourage you to apply. Responsibilities: - Develop and maintain scripts using R, Python, VBA, and other relevant technologies to perform complex data analysis and automate processes. - Design and implement RShiny applications, ensuring both the user interface and server components meet the highest standards of functionality and design. - Generate data visualizations and presentations to effectively communicate findings to both technical and non-technical stakeholders. - Collaborate with various teams to understand their data requirements and provide analytical support. - Guarantee the accuracy and logical integrity of all data analysis and results produced. - Stay up-to-date with the latest data analysis tools and methodologies to continuously improve the quality of insights provided. Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred. - Minimum of 5-10 years of experience in data analysis or a related field. - Demonstrated experience in R Shiny application development including both front-end and back-end components. - Proficiency in R, Python, SQL, and VBA. - Familiarity with database manipulation and API development. Skills: - Strong analytical and problem-solving skills. - Excellent communication and presentation abilities. - Ability to manage complex projects and multi-task effectively. - Keen attention to detail and commitment to delivering high-quality work. Tools: - Proficiency with data analysis software (e.g., RStudio, Jupyter Notebook). - Experience with database management systems (e.g., MySQL, PostgreSQL). - Knowledge of version control systems (e.g., Git). - Proficiency in data visualization tools (e.g., ggplot2, Tableau, or similar). - Familiarity with Microsoft Office Suite, particularly Excel with VBA. Desired Skills: - Experience with machine learning algorithms and predictive modeling. - Knowledge of cloud computing platforms (e.g., AWS, Azure). - Experience in working with big data technologies (e.g., Hadoop, Spark).