Data Analyst

A leading technology and workforce solutions company is seeking a Remote Data Analyst. This role is perfect for early-career data professionals eager to gain hands-on experience with real-world datasets in a collaborative, fully remote environment. You’ll work closely with cross-functional teams to collect, clean, and analyze data, transforming it into actionable insights that support strategic business decisions.

This position is an excellent opportunity for recent graduates, international STEM OPT holders, or professionals transitioning into data analytics. The role emphasizes practical skill-building with SQL, Python, Excel, Power BI, Tableau, and cloud data platforms — while contributing to meaningful projects that shape operational efficiency and business growth. Mentorship, structured training, and exposure to industry-standard tools will accelerate your career development.

Benefits

• Competitive entry-level salary with performance-based incentives
• Fully remote work environment with flexible hours
• Paid time off, holidays, and personal/sick leave
• Health, dental, and vision insurance coverage
• Hands-on experience with industry-standard data tools and real-world projects
• Access to mentorship, professional certifications, and career development resources
• STEM OPT and H-1B compliant placement support

Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy and consistency
• Analyze datasets to identify trends, patterns, and actionable insights for business decisions
• Build interactive dashboards and visualizations using Power BI, Tableau, or similar tools
• Prepare clear reports, summaries, and presentations for internal stakeholders
• Collaborate with product managers, developers, and business teams to address data needs
• Maintain documentation of data processes, workflows, and analytics methodologies
• Support ad-hoc data requests and exploratory analysis for ongoing projects

Requirements

• Bachelor’s degree (or equivalent) in Computer Science, Statistics, Mathematics, Data Analytics, or related field
• Proficiency in SQL, Excel, and one programming language (Python or R preferred)
• Familiarity with data visualization tools such as Power BI or Tableau
• Knowledge of data cleaning, transformation, and modeling techniques
• Strong analytical thinking and attention to detail
• Excellent communication skills for both technical and non-technical audiences
• Self-motivated and able to manage multiple tasks independently in a remote setting
• Preferred: experience with cloud platforms (AWS, Azure, GCP), ETL processes, or basic machine learning concepts