Data Analyst (Entry Level)

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Job Overview

The Entry Level Data Analyst at SynergisticIT will play a crucial role in supporting our data-driven decision-making processes. The successful candidate will be responsible for collecting, analyzing, and interpreting data from various sources to provide insights that will enhance operational efficiency and business performance. This position will involve working closely with cross-functional teams to identify trends, create reports, and assist in the implementation of data-driven strategies that align with the organization’s goals.

Job Responsibilities

• Collect and organize data from multiple sources to ensure data accuracy and reliability.
• Analyze datasets to identify patterns, trends, and anomalies, and present findings to stakeholders.
• Create and maintain reports and dashboards for various departments to facilitate data-driven decision-making.
• Assist in the development and implementation of data collection systems and other strategies that optimize statistical efficiency and data quality.
• Coordinate with team members and stakeholders to understand their data analysis needs and deliver actionable insights.
• Participate in data validation and verification processes to ensure data integrity.
• Continuously learn and apply new data analysis techniques and tools.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
• Familiarity with data analysis software such as Excel, SQL, or R is preferred.
• Basic understanding of data visualization tools like Tableau or Power BI is a plus.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in a team environment.
• Detail-oriented with a strong focus on accuracy and quality.

Technologies & Tools

The Entry Level Data Analyst will utilize various technologies and tools that are integral to data analysis and reporting. Candidates should be familiar with Microsoft Excel for data manipulation and analysis, SQL for querying databases, and R or Python for in-depth statistical analysis. Knowledge of data visualization tools such as Tableau or Power BI will enhance reporting capabilities and provide clearer insights to stakeholders.

Ideal Candidates

The ideal candidates for this position will exhibit a strong passion for data and its application in solving real-world problems. They will possess a curious mindset, willing to learn and adapt in a dynamic work environment. Additionally, successful candidates will demonstrate effective communication skills, enabling them to convey complex data findings in a clear and concise manner. A proactive approach to teamwork and collaboration is essential, as this role requires frequent interaction with various departments and stakeholders.