Full Time

Data Analyst/Engineer - Entry Level

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

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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 Data Analyst/Engineer - Entry Level position at SynergisticIT offers an exciting opportunity for recent graduates or early-career professionals to jumpstart their career in the data industry. The role encompasses collecting, analyzing, and interpreting large datasets to derive actionable insights that drive business decisions. As an essential part of our team, you will collaborate with various departments to ensure data integrity and support data-driven projects. You will also have opportunities for professional development and learning in a dynamic environment focused on innovation and collaboration.



Job Responsibilities

  • Collect, clean, and process data from various sources.
  • Perform data analysis and generate insightful reports to inform business strategies.
  • Collaborate with cross-functional teams to determine data requirements and metrics.
  • Assist in the development and maintenance of data pipelines and data models.
  • Support data visualization efforts to present findings effectively.
  • Ensure data accuracy and consistency by conducting quality assurance checks.
  • Stay updated on industry trends and best practices in data analysis and engineering.


Qualifications

  • Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
  • Familiarity with data analysis tools and programming languages such as SQL, Python, or R.
  • Basic understanding of data visualization tools (e.g., Tableau, Power BI, etc.).
  • Ability to analyze large datasets and produce clear reports.
  • Good problem-solving skills and attention to detail.
  • Effective communication skills, both verbal and written.
  • A willingness to learn and adapt in a fast-paced environment.


Technologies & Tools

This position primarily utilizes a range of technologies and tools for data analysis and engineering tasks. Key technologies include SQL for database management, Python or R for data manipulation and statistical analysis, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with big data technologies like Hadoop or Spark may be beneficial. Proficiency in Excel for data modeling and manipulation is also expected.



Ideal Candidates

The ideal candidate for the Data Analyst/Engineer - Entry Level position will possess a strong analytical mindset, demonstrated through academic projects or internships. They should have a natural curiosity for data and a desire to extract meaningful insights from complex datasets. A proactive approach to problem-solving, combined with excellent interpersonal skills, will enable successful collaboration with team members. Candidates should also exhibit a genuine enthusiasm for continuous learning, staying abreast of emerging trends in data science and technology.

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