Job Assistance Data Analyst

Hybrid

Published 23 hours ago

Description

As a Data Analyst, you will play a crucial role in analyzing and interpreting data to provide valuable insights for improving job assistance programs. This position is vital for our company as it directly impacts the effectiveness of our services and helps us make data-driven decisions. You will be involved in various projects aimed at optimizing job assistance strategies and enhancing outcomes for our clients.

Responsibilities:

  • Collect, clean, and analyze job assistance data to identify trends and patterns.
  • Develop reports and dashboards to visualize data and communicate findings to stakeholders.
  • Assist in designing and implementing data-driven strategies to improve job placement rates.
  • Collaborate with the team to identify areas for process improvement based on data insights.
  • Conduct regular audits to ensure data accuracy and integrity.
  • Support the development of predictive models to forecast job market trends.
  • Participate in the evaluation of job assistance programs and recommend enhancements.
  • Stay updated on industry trends and best practices in data analysis for job assistance.

Requirements:

  • Experience 0-2 years in data analysis tools such as Excel, SQL, and Python.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Excellent attention to detail and accuracy in data handling.
  • Good communication skills to present findings and collaborate with team members.
  • Ability to work independently and prioritize tasks effectively.
  • Knowledge of statistical methods and techniques for data analysis.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Understanding of job market dynamics and employment trends.

Full time

Entry Level

Hybrid


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