Remote Data Analyst: Global Insights & Visualization

Workato; Los Angeles (CA); On-site; USD 18,000 - 23,000; Full time

Job summary

Workato in Los Angeles is seeking a Data Analyst to collect, clean, and analyze large datasets for client projects. You will build models, run analyses, and present insights to non-technical stakeholders. The role requires strong SQL, R or Python skills and solid statistical knowledge.

We welcome candidates with experience handling large datasets and excellent communication. Open to remote work for qualified applicants, with a focus on delivering data-driven solutions across industries.

Qualifications

• Bachelor’s degree in statistics, mathematics, computer science or related field.
• Minimum 2 years experience as a Data Analyst in a corporate setting.
• Proficiency in SQL, R or Python for data manipulation and analysis.
• Strong knowledge of statistical methods such as regression and clustering.
• Excellent communication skills to explain technical concepts to non-technical stakeholders.
• Detail-oriented with strong problem-solving skills.
• Experience working with large datasets is preferred.

Responsibilities

• Collect and organize large sets of data from various sources.
• Perform data cleaning, validation and analysis using statistical software.
• Develop and implement data models and algorithms to extract insights from the data.
• Create visualizations and reports to present findings in a clear and concise manner.
• Collaborate with project teams to identify business needs and provide data-driven solutions.
• Continuously monitor and improve the accuracy and efficiency of data collection processes.

Skills

SQL

R

Python

Statistics

Data analysis

Communication

Education

Bachelors degree in Statistics, Mathematics, Computer Science or related field

Tools

Statistical software

Job description

Workato in Los Angeles is seeking a Data Analyst to collect, clean, and analyze large datasets for client projects. You will build models, run analyses, and present insights to non-technical stakeholders. The role requires strong SQL, R or Python skills and solid statistical knowledge.

We welcome candidates with experience handling large datasets and excellent communication. Open to remote work for qualified applicants, with a focus on delivering data-driven solutions across industries.