Data analysr (H/F)

Data Analyst (H/F)

Location: United States

Employment Type: Full-Time

• Job Summary
• We are seeking a highly analytical and detail-oriented Data Analyst to collect, analyze, and interpret complex datasets that support business decision-making. The ideal candidate will transform data into actionable insights, develop reports and dashboards, and collaborate with stakeholders across the organization to improve performance and drive strategic initiatives.
• Key Responsibilities
• Collect, clean, validate, and analyze large datasets from multiple sources.
• Develop and maintain dashboards, reports, and visualizations to support business objectives.
• Identify trends, patterns, and opportunities through data analysis.
• Create and monitor key performance indicators (KPIs) and performance metrics.
• Work closely with business teams to understand data requirements and provide actionable recommendations.
• Perform ad hoc analysis and present findings to management and stakeholders.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Support data governance, quality assurance, and process improvement initiatives.
• Document analytical methodologies, reports, and data definitions.
• Required Qualifications
• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
• 2+ years of experience in data analysis, business intelligence, or a related role.
• Strong proficiency in SQL for data extraction and analysis.
• Advanced Microsoft Excel skills, including PivotTables, formulas, and data modeling.
• Experience with data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and presentation skills.
• Preferred Qualifications
• Experience with Python or R for data analysis and automation.
• Knowledge of statistical analysis and predictive modeling techniques.
• Familiarity with data warehouses, ETL processes, and cloud platforms (AWS, Azure, or Google Cloud).
• Experience working in Agile or data-driven business environments.
• Relevant certifications in data analytics or business intelligence are a plus.