Data Analyst - Work From Home
Job Description
Qureos Inc invites you to join as a Data Analyst in a remote work setup anchored in Los Angeles, California. This role offers an hourly rate of USD 45 to 55 and the flexibility to collaborate with teams across North America while translating data into actionable insights that optimize logistics and supply chain operations.
Benefits
- Competitive pay
- Annual bonus tied to performance
- Comprehensive medical, dental, and vision coverage
- 401(k) with company match
- Paid vacation, sick leave, and company holidays
- Company-paid life insurance
- Employee Assistance Program (EAP)
- Professional development and training opportunities
- Career advancement opportunities
- Remote work flexibility
- Company-provided laptop and equipment
Responsibilities
- Interpret data and apply statistical methods to generate ongoing business reports
- Design and maintain databases and data collection processes; develop analytics strategies to improve statistical efficiency and data quality
- Source data from primary and secondary sources and uphold the integrity of data systems
- Identify trends and patterns in complex datasets related to transportation, supply chain, and contract logistics
- Clean and curate data by reviewing reports and performance indicators to locate and fix problems
- Collaborate with management and operational teams to understand priorities and translate them into data requirements
- Build informative data visualizations, dashboards, and reports to communicate insights to stakeholders
- Identify opportunities to streamline processes and reduce costs based on data-driven insights
Requirements
- Proven experience as a Data Analyst or Business Data Analyst
- Strong knowledge of reporting tools, databases (SQL), and programming is desirable
- Technical expertise in data models, database design, data mining, and segmentation techniques
- Proficiency in statistics and experience with statistical packages (e.g., Excel, SPSS, SAS)
- Excellent analytical skills with the ability to collect, organize, analyze, and disseminate substantial amounts of information with high attention to detail
- Adept at writing queries, preparing reports, and presenting findings clearly
- Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics preferred
- Previous experience in logistics or transportation is advantageous
Technologies
- SQL
- Excel
- SPSS
- SAS