Entry level data analyst/Junior data scientist/Java Devops developer

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Job Overview

SynergisticIT is seeking an Entry-Level Data Analyst/Junior Data Scientist/Java DevOps Developer who will play a critical role in analyzing data to support decision-making processes, developing efficient software solutions, and ensuring effective DevOps practices are in place. This position is designed for individuals who are eager to learn and grow within the technology industry, providing ample opportunity to work with experienced professionals while contributing to various projects. Candidates should be adept in data manipulation and software development principles, demonstrating a keen interest in leveraging data to drive business outcomes.

Job Responsibilities

• Conduct data analysis and interpretation to support business strategies and initiatives.
• Create and maintain dashboards and reports for stakeholders using data visualization tools.
• Assist in the development of machine learning models and algorithms.
• Collaborate with cross-functional teams to gather data requirements and specifications.
• Write clean, efficient code for software development projects, primarily using Java.
• Implement and manage CI/CD pipelines to streamline production workflows.
• Perform testing and debugging of software applications to enhance functionality.
• Participate in code reviews and contribute to team best practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Familiarity with programming languages such as Java, Python, or R.
• Basic understanding of relational databases and SQL.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Experience with cloud services (AWS, Azure, or Google Cloud) is advantageous.
• Strong analytical skills coupled with attention to detail.
• Excellent communication and teamwork skills.
• Willingness to learn and adapt to new technologies and methodologies.

Technologies & Tools

The candidate will work with a variety of technologies and tools including but not limited to Java for software development, SQL for database management, data visualization tools like Tableau and Power BI, version control systems such as Git, and cloud services like AWS and Azure for deploying applications and managing infrastructure.

Ideal Candidates

Ideal candidates for this position will have a strong passion for data analytics and software development, demonstrating a proactive approach to problem-solving and a genuine curiosity about learning new technologies. They should exhibit strong interpersonal skills, enabling effective collaboration with multidisciplinary teams, and possess a detail-oriented mindset to ensure accuracy in data analysis and software functionality. Adaptability and a positive attitude towards challenges are essential traits, along with a commitment to ongoing personal and professional growth.