Data analysr (H/F)

Data Analyst (H/F)

📍 Location: United States

💼 Employment Type: Full-time / Part-time

🏠 Work Arrangement: Remote

🌟 About the Role

We are seeking a highly analytical and detail-oriented Data Analyst (H/F) to join our team. In this role, you will analyze data from multiple sources, generate actionable insights, and support decision-making to improve business performance.

This position is ideal for individuals who enjoy working with data, uncovering trends, and providing data-driven recommendations.

🔧 Key Responsibilities

• Collect, clean, and analyze data from various sources
• Develop reports, dashboards, and visualizations to communicate insights
• Monitor key performance indicators (KPIs) and business metrics
• Collaborate with cross-functional teams to support data-driven decision making
• Identify trends, patterns, and anomalies in large datasets
• Assist with data modeling and predictive analysis projects
• Maintain accurate and up-to-date records of data analyses and methodologies
• Recommend strategies and improvements based on data insights

✅ Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field preferred
• Strong analytical and problem-solving skills
• Proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.)
• Basic knowledge of statistical analysis and data modeling
• Excellent communication and presentation skills
• Detail-oriented with strong organizational abilities
• Ability to work independently and collaboratively in a team environment
• Entry-level candidates are welcome; training may be provided

🎁 Benefits

• Competitive salary and performance incentives
• Flexible working arrangements
• Remote work opportunities
• Paid training and professional development programs
• Supportive and collaborative team environment
• Opportunities for career growth in data analytics and business intelligence

💡 Ideal Candidate

• The ideal candidate is analytical, curious, detail-focused, and capable of transforming raw data into meaningful insights that support business strategy and decision-making.