Full Time

Data Analyst (Entry Level)

Engtal
$45,000 - $60,000* / year (about $22–$29 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 Engtal, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Analyst (Entry Level) at Engtal is responsible for collecting, processing, and performing statistical analyses on large datasets to derive actionable insights that drive business decisions. The ideal candidate will support various departments by providing comprehensive reports and visualizations, assisting in data management strategies, and contributing to overall data-driven initiatives to enhance operational efficiency and performance. This role offers an excellent opportunity for recent graduates to advance their career in data analytics within a dynamic and supportive work environment.



Job Responsibilities

  • Collect and organize data from multiple sources to ensure accuracy and reliability.
  • Perform analysis to interpret data trends and patterns that are useful for business strategy.
  • Create detailed reports and visualizations to present findings to stakeholders.
  • Collaborate with cross-functional teams to identify data needs and provide analytical support.
  • Assist in the development, maintenance, and improvement of databases and reporting tools.
  • Support data quality assurance and recommend areas for improvements within existing processes.


Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Familiarity with data analysis tools and techniques.
  • Proficient in Microsoft Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication abilities.
  • Ability to work collaboratively in a team environment.


Technologies & Tools

In this position, the Data Analyst will utilize various technologies and tools, including SQL for database management, Microsoft Excel for data manipulation, and data visualization software such as Tableau or Power BI to create compelling reports. Familiarity with programming languages like Python or R would also be advantageous for advanced data analysis and automation tasks. Engagement with these tools will empower the candidate to derive insights that align with business objectives effectively.



Ideal Candidates

Ideal candidates for this role will possess a strong passion for data and a keen interest in analytics. They should demonstrate attention to detail, a good eye for patterns, and the ability to think critically and creatively when approaching data challenges. Furthermore, effective communication skills are essential for translating complex data findings into understandable insights for non-technical stakeholders. A proactive attitude, coupled with a willingness to learn and adapt, will make them a valuable addition to the Engtal team.

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