Junior Data Analyst/Engineer

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Job Overview

The Junior Data Analyst/Engineer at SynergisticIT will play a crucial role in supporting data-driven decision-making processes by assisting in data collection, analysis, and reporting. This position will involve working closely with senior team members to ensure the integrity and accuracy of data while contributing to the development of data pipelines and visualizations. The ideal candidate will be eager to learn and grow within a dynamic team environment, applying analytical skills to transform raw data into actionable insights that drive business success.

Job Responsibilities

• Assist in the collection, cleaning, and organization of data from various sources.
• Support the development and maintenance of data pipelines for efficient data processing.
• Perform data analysis to identify trends, patterns, and anomalies.
• Create and maintain reports and visualizations to effectively communicate data findings.
• Collaborate with cross-functional teams to understand their data needs and provide appropriate solutions.
• Participate in quality assurance processes to ensure data accuracy and integrity.
• Help in documenting processes and maintaining data dictionaries.
• Stay updated with advancements in data analysis techniques and tools.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Basic proficiency in SQL and experience with relational databases.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Understanding of programming languages such as Python or R for data analysis.
• Knowledge of statistical analysis and data modeling techniques.
• Strong analytical skills with attention to detail.
• Excellent problem-solving abilities and a willingness to learn.
• Effective communication skills to present data findings clearly.

Technologies & Tools

The Junior Data Analyst/Engineer will have the opportunity to work with a variety of technologies and tools, including but not limited to SQL for database management, Python and R for programming and statistical analysis, data visualization platforms like Tableau and Power BI, as well as cloud-based data storage solutions such as AWS or Google Cloud. Familiarity with version control systems such as Git is also advantageous in promoting collaboration within the team.

Ideal Candidates

The ideal candidate for this position should be highly motivated, detail-oriented, and possess a strong eagerness to learn and grow in the field of data analysis. They should demonstrate critical thinking skills and be able to approach data-related challenges creatively. A collaborative mindset and effective communication skills are crucial, as the candidate will work closely with various departments to deliver data-driven insights. Furthermore, adaptability to evolving technologies and methodologies will help the candidate thrive in a fast-paced environment.