Data Analyst

Jobrion is hiring a Data Analyst to turn company data into actionable insights that improve services for job seekers and hiring partners. The role analyzes platform usage, application outcomes, and customer feedback, builds reporting and data models, and collaborates with teams to define metrics, support experiments, and inform strategy.

Responsibilities:

• The Data Analyst will play a key role in turning Jobrion’s data into actionable insights that improve services for job seekers and hiring partners
• In this full-time remote role, the Data Analyst will collect, clean, and analyze data from various sources, including platform usage, application outcomes, and customer feedback
• Day-to-day responsibilities include building dashboards and reports, performing statistical analyses, and developing data models to understand trends related to job search success and user engagement
• The Data Analyst will collaborate with product, operations, and customer success teams to define metrics, support experiments, and inform strategy through data-driven recommendations
• This role also involves documenting methodologies, ensuring data quality, and communicating findings in clear, accessible formats to both technical and non-technical stakeholders

Requirements:

• Candidates should possess strong Analytical Skills and proven experience in Data Analytics
• Candidates should possess a solid foundation in Statistics and the ability to apply statistical methods to real-world business problems
• Candidates should possess capability in Data Modeling, including designing and interpreting data structures to support reporting and analysis
• Candidates should possess effective Communication skills, with the ability to present complex findings in a clear, concise, and inclusive manner
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent practical experience
• Strong attention to detail, commitment to ethical use of data
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and SQL or similar query languages is highly beneficial
• Familiarity with programming languages used for data analysis (e.g., Python, R) and experience working with large datasets are advantageous