• Irvine, California
• Manufacturing
• $70K-80K
• Full Time regular employee
•  M-F：8:30-17:00

Job Description

Position
Sales Data Analyst Power BI

Summary
Our mission is to drive innovation and efficiency through comprehensive data analysis and insights, enabling businesses to excel in their strategic goals.

Essential Duties
 Collect and analyze historical sales data and market trends to identify growth opportunities and
support strategic planning.
 Compile and interpret customer market data to inform pricing strategies and sales initiatives.
 Perform qualitative and quantitative data mining to uncover insights and support business
decisions.
 Develop and monitor key performance indicators (KPIs), financial models, and metrics to evaluate
business outcomes.
 Prepare ad hoc reports to support product planning, forecasting, and customer insights.
 Design and maintain dashboards and visualizations to communicate data findings to
stakeholders.
 Ensure data accuracy and integrity across reporting systems and databases.
 Automate recurring reports and data processes to improve efficiency and reduce manual
workload.
 Collaborate with cross-functional teams including Sales, Finance, Legal, and IT to support data-
driven initiatives.
 Conduct root cause analysis for performance variances and recommend corrective actions.
 Stay current with industry trends, tools, and best practices in data analytics and reporting.
 Perform other duties and special projects as assigned.


Working Hours, Working style
M-F: 8:30-17:00

Working Location
Irvine, CA
On-Site

Salary/Benefit
$70-80K

Holidays
Saturdays, Sundays, Holidays

Qualifications
 Experience in Power BI is a must
 Bilingual English/Japanese is a must
 Bachelor’s degree in business administration or others preferred
 3-5 years business and / or marketing analysis experience preferred
 Proficient in excel, power point or extensive experience in MS office suite, Quick Books, SAP
 Excellent written and verbal communication skills
 Strong and fast learner
 Technical knowledge a plus
 Numerical analysis and logical thinking skills
 Working knowledge and experience of data aggregation
 Strong acumen to accomplish tasks undependably

Apply Now