Entry level data analyst/Junior data scientist/junior java express.js programmer

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Job Overview

SynergisticIT is seeking an enthusiastic Entry Level Data Analyst/Junior Data Scientist/Junior Java Express.js Programmer to join our dynamic team. In this multifaceted role, the successful candidate will engage with data analysis, data visualization, and software development. This individual will support data-driven decision-making through accurate analytics while contributing to the development and maintenance of applications using Java and Express.js. This is an excellent opportunity to gain hands-on experience in a collaborative environment and enhance your technical skills.

Job Responsibilities

• Assist in data collection, cleaning, and preprocessing to ensure data quality and integrity.
• Perform exploratory data analysis to identify trends and insights from datasets.
• Develop and maintain dashboards and reports to present analytical findings to stakeholders.
• Support the software development lifecycle by coding, testing, and debugging applications using Java and Express.js.
• Collaborate with team members to design and implement data models and algorithms.
• Participate in team meetings and contribute ideas for improving data methodologies and practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Basic knowledge of data analysis tools such as Python, R, or SQL.
• Familiarity with web technologies including Java and Express.js.
• Understanding of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Technologies & Tools

In this position, the candidate will utilize a range of technologies and tools including, but not limited to, Java, Express.js, SQL databases, Python, and data visualization platforms like Tableau or Power BI. Familiarity with version control systems such as Git, as well as Agile development methodologies, will be highly beneficial.

Ideal Candidates

Ideal candidates will be detail-oriented, with a passion for data and technology. They should possess a willingness to learn and adapt in a fast-paced environment. Strong interpersonal skills and the ability to collaborate effectively within a team are essential. A proactive attitude towards problem-solving, along with a commitment to contributing to the overall success of the team, will make you an excellent fit for this role.