Data Analyst/Engineer - Entry (REMOTE)

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Position Overview

SynergisticIT is seeking a detail-oriented and analytical Data Analyst/Engineer - Entry to join our dynamic team in a remote capacity. In this role, you will be responsible for collecting, processing, and analyzing data to help drive strategic decision-making within the organization. You will collaborate with various departments to transform data into actionable insights, aiding in the optimization of processes and enhancing overall business performance. This is an excellent opportunity for recent graduates or individuals looking to start their career in data analytics and engineering.

Job Responsibilities

• Collect and clean data from various sources to ensure data integrity.
• Analyze data using statistical methods to evaluate business performance.
• Create visualizations and reports to communicate findings to stakeholders.
• Collaborate with teams to identify data needs and requirements.
• Assist in the development and maintenance of databases and data pipelines.
• Support ad hoc data requests and analyses as needed.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Familiarity with programming languages such as SQL, Python, or R.
• Basic understanding of data visualization tools like Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple tasks simultaneously.
• Effective communication skills, both written and verbal.

Technologies & Tools

The Data Analyst/Engineer - Entry will predominantly utilize technologies such as SQL for database query and management, Python or R for data analysis, and Tableau or Power BI for data visualization purposes. Familiarity with cloud services such as AWS or Azure may also be beneficial. You will operate within a collaborative software environment that enhances productivity and promotes data-driven decision-making.

Ideal Candidates

The ideal candidate for this position will possess a strong desire to learn and grow within the data analytics field. You should be naturally inquisitive, detail-oriented, and robust in your analytical capabilities. Successful candidates will also demonstrate effective interpersonal skills, the ability to think critically about data, and a passion for leveraging insights to support business objectives. If you thrive in a fast-paced remote work environment and are eager to contribute to meaningful data projects, we encourage you to apply.