Junior Data Analyst - Part-Time, Flexible Hours, Growth

Workato; Los Angeles (CA); On-site; USD 15,000 - 18,000; Part time

Benefits offered by this job

Growth opportunities

Part-time schedule

Accommodation provided for non-local

Job summary

Workato, based in Los Angeles, is seeking a Junior Data Analyst to join the team part-time. The role involves collecting, cleaning, and organizing data from multiple sources, analyzing trends, and creating visual reports for stakeholders.

The candidate will collaborate with cross-functional teams and monitor data quality in a fast-paced environment. The ideal candidate has a Bachelor's degree in a quantitative field, strong analytical skills, and proficiency in SQL, Excel, and at least one of R

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Strong analytical skills with the ability to interpret complex data sets.
• Proficiency in SQL, Excel and other statistical software such as R or Python.
• Excellent communication skills with the ability to present findings clearly.
• Attention to detail and ability to handle multiple tasks.

Responsibilities

• Collect, clean and organize large volumes of data from various sources
• Analyze data using statistical methods and tools to identify patterns and trends
• Create visualizations and reports to present findings to stakeholders
• Collaborate with cross‑functional teams to understand business needs and provide data‑driven solutions
• Continuously monitor data quality and troubleshoot any issues that arise
• Stay up‑to‑date with industry trends and advancements in data analysis techniques

Skills

Analytical skills

Communication skills

Attention to detail

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Tools

SQL

Excel

R

Python

Job description

Workato, based in Los Angeles, is seeking a Junior Data Analyst to join the team part-time. The role involves collecting, cleaning, and organizing data from multiple sources, analyzing trends, and creating visual reports for stakeholders.

The candidate will collaborate with cross-functional teams and monitor data quality in a fast-paced environment. The ideal candidate has a Bachelor's degree in a quantitative field, strong analytical skills, and proficiency in SQL, Excel, and at least one of R