Entry level data analyst /data scientist with power bi/entry level Java developer with kubernates

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.

Overview

The Entry Level Data Analyst/Data Scientist with Power BI and Entry Level Java Developer with Kubernetes positions at SynergisticIT offer a unique opportunity to engage in data-driven decision-making and software development. The successful candidates will collaborate with cross-functional teams to analyze data, create visualizations, and develop applications that drive business outcomes. These roles will provide foundational experience in utilizing tools such as Power BI and Kubernetes to enhance operational efficiency and improve data management processes.

Job Responsibilities

• Analyze data from various sources to identify trends, patterns, and actionable insights.
• Create and maintain interactive dashboards and visualizations using Power BI.
• Assist in developing and deploying Java applications within Kubernetes environments.
• Collaborate with senior analysts and developers on project requirements and objectives.
• Conduct data cleaning and preparation to support analytics initiatives.
• Document processes and quality control checks for data integrity.
• Participate in team meetings to present findings and recommendations.
• Continuously learn new tools and technologies pertinent to data analysis and software development.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Familiarity with data visualization tools, particularly Power BI.
• Basic programming skills in Java and familiarity with Kubernetes.
• Strong analytical skills with the ability to work with large datasets.
• Good understanding of data modeling and database management concepts.
• Effective communication skills to convey complex information clearly.
• A proactive attitude and willingness to learn new technologies.

Technologies & Tools

In this role, the candidate will utilize a variety of technologies and tools essential for data analysis and application development. The primary tools include Microsoft Power BI for data visualization, Java for software development, and Kubernetes for container orchestration. Familiarity with SQL for database querying and data management is also advantageous, as well as knowledge of version control systems like Git.

Ideal Candidates

The ideal candidates for these positions should exhibit strong problem-solving abilities and a keen interest in data science and software development. They should be detail-oriented, capable of managing multiple tasks efficiently, and eager to collaborate in a team setting. A commitment to continuous learning and adaptability in a fast-paced environment will greatly enhance their effectiveness in contributing to the company's success.