Data Analyst/Engineer - Entry (REMOTE)

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Job Overview

SynergisticIT is seeking a motivated and detail-oriented Data Analyst/Engineer - Entry level position to join our dynamic team. The successful candidate will play a key role in collecting, processing, and analyzing data to derive actionable insights that will contribute to data-driven decision-making. You will collaborate with various departments to understand their data needs and provide statistical analysis support. This is an excellent opportunity to gain hands-on experience in the data field while leveraging cutting-edge tools and technologies in a fully remote work environment.

Job Responsibilities

• Collect, clean, and organize data from multiple sources to ensure its accuracy and reliability.
• Develop and maintain data models, datasets, and analyses to support business initiatives.
• Collaborate with cross-functional teams to understand their data requirements and provide insights accordingly.
• Create comprehensive reports and dashboards that summarize findings and recommendations.
• Utilize statistical techniques to identify trends, correlations, and anomalies in data.
• Assist in the design and optimization of databases to enhance data retrieval performance.
• Participate in data quality initiatives to continuously improve data integrity.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Basic understanding of data analysis and data engineering principles.
• Proficiency in data manipulation and analytics tools such as SQL, Excel, or R/Python.
• Familiarity with data visualization tools like Tableau, Power BI, or similar software.
• Strong problem-solving skills and ability to work with large datasets.
• Excellent attention to detail and organizational skills.
• Ability to communicate complex findings in a clear and concise manner.

Technologies & Tools

The Data Analyst/Engineer at SynergisticIT will utilize a variety of technologies and tools to perform their duties effectively. These include SQL databases for data storage and retrieval, tools for data visualization such as Tableau and Power BI, programming languages such as Python and R for data analysis, and Excel for spreadsheet management. Familiarity with cloud platforms and data integration tools may also be beneficial for supporting collaborative projects.

Ideal Candidates

Ideal candidates for the Data Analyst/Engineer - Entry position should possess a strong analytical mindset and a passion for working with data. They should demonstrate enthusiasm for learning and applying new technologies, with a proactive attitude towards problem-solving. Effective communication skills are essential, as the role requires a collaboration with various departments. A detail-oriented approach, combined with the ability to work independently in a remote environment, will greatly contribute to the candidate's success in this position.