Insightful Data Analyst for English-Speaking Clients

Work corp; Washington; On-site; USD 14,000 - 17,000; Full time

Job summary

Work corp in Washington, USA is seeking a Data Analyst for English-speaking clients to analyze large datasets, identify trends, and deliver actionable insights that drive client decisions. The role requires strong SQL, Excel and statistical software knowledge, plus the ability to present complex results to non-technical stakeholders.

The candidate will collaborate with cross-functional teams to understand business needs and provide data-driven solutions while maintaining attention to detail in a

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics or related field.
• Minimum of 2 years of experience in data analysis or a related role.
• Strong knowledge of SQL, Excel and statistical software such as R or Python.

Responsibilities

• Collecting, organizing and analyzing large datasets from various sources.
• Identifying trends and patterns within the data to provide actionable insights.
• Creating reports and visualizations to effectively communicate findings to clients.
• Collaborating with cross-functional teams to understand business needs and provide data-driven solutions.
• Utilizing statistical methods and tools to perform predictive modeling and forecasting.
• Identifying areas for process improvement and working towards optimizing data collection and analysis processes.

Skills

SQL

Excel

Python

R

Communication

Education

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

Tools

Python

R

Job description

Work corp in Washington, USA is seeking a Data Analyst for English-speaking clients to analyze large datasets, identify trends, and deliver actionable insights that drive client decisions. The role requires strong SQL, Excel and statistical software knowledge, plus the ability to present complex results to non-technical stakeholders.

The candidate will collaborate with cross-functional teams to understand business needs and provide data-driven solutions while maintaining attention to detail in a