Full Time

Entry level data analyst /data scientist with sql/excel databricks /entry level Java developer with aws

SynergisticIT
$50,000 - $70,000* / year (about $24–$34 an hour)

Job Description

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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.

Job Overview

The Entry-Level Data Analyst/Data Scientist position at SynergisticIT is a dual role that requires proficiency in SQL, Excel, Databricks, and entry-level Java development with AWS. The successful candidate will play a crucial role in analyzing data to derive actionable insights and support decision-making processes. This role demands a analytical mindset, strong problem-solving capabilities, and a willingness to collaborate across various teams, contributing to the data-driven initiatives of the organization.



Job Responsibilities

  • Utilize SQL to perform data retrieval and analysis, ensuring accurate reporting and data integrity.
  • Conduct data manipulation using Excel, creating complex formulas and pivot tables to aid in analysis.
  • Work with Databricks to process large datasets and develop data models as required by the team.
  • Assist in creating and maintaining documentation regarding data sources, procedures, and results of analyses.
  • Collaborate with cross-functional teams to understand their data needs and deliver actionable insights.
  • Support entry-level Java development tasks as needed, specifically within AWS environments.
  • Participate in code reviews and contribute to maintaining quality standards in software development.


Qualifications

  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
  • Proficiency in SQL and Excel, with a strong understanding of data manipulation and analysis techniques.
  • Basic knowledge of Databricks and experience in working with cloud services like AWS.
  • Entry-level experience or coursework in Java programming.
  • Strong analytical skills and attention to detail, with the ability to solve complex problems.
  • Excellent communication skills, with the ability to present findings clearly to non-technical stakeholders.
  • A willingness to learn and adapt to new technologies and methodologies.


Technologies & Tools

This position will involve the use of various technologies and tools, including but not limited to SQL for database management, Excel for data analysis, Databricks for big data processing, AWS for cloud services, and Java for software development. Familiarity with data visualization tools will also be advantageous as the role may require presenting data insights effectively.



Ideal Candidates

The ideal candidates for this position are motivated individuals with a passion for data and analytics. They should possess strong problem-solving skills, be detail-oriented, and demonstrate the ability to work collaboratively within a team setting. A genuine eagerness to learn new technologies along with excellent communication skills will enable them to thrive in this dynamic environment. Candidates should also be adaptable, with a strong desire to contribute to the organization's success through data-driven initiatives.

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