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).