Data Insights Analyst

Jing Hau; Norge (OK); On-site; USD 11,383 - 15,400; Full time

Job summary

Jing Hau is looking for a Data Analyst in the United States to collect, organize, and analyze large data sets to identify patterns and trends. You will build visualizations and reports for stakeholders and collaborate with cross-functional teams to drive data-driven strategies.

The role requires a Bachelor's degree in a related field, at least 2 years of experience, and proficiency in SQL, Excel, Python, and data visualization tools such as Tableau or Power BI.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Minimum 2 years of experience as a Data Analyst or similar role.
• Proficiency in SQL, Excel, Python or other programming languages.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication skills to present findings to non-technical stakeholders.

Responsibilities

• Collecting data from various sources and ensuring its accuracy and completeness
• Organizing and cleaning large datasets to prepare for analysis
• Identifying patterns and trends in the data using statistical methods
• Creating visualizations and reports to present findings to stakeholders
• Collaborating with cross-functional teams to develop strategies based on data insights
• Continuously monitoring and evaluating data quality and making necessary improvements

Skills

Analytical thinking

Communication

SQL

Excel

Python

Education

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

Tools

Tableau

Power BI

Job description

Jing Hau is looking for a Data Analyst in the United States to collect, organize, and analyze large data sets to identify patterns and trends. You will build visualizations and reports for stakeholders and collaborate with cross-functional teams to drive data-driven strategies.

The role requires a Bachelor's degree in a related field, at least 2 years of experience, and proficiency in SQL, Excel, Python, and data visualization tools such as Tableau or Power BI.