Data Analyst

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Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

A Data Analyst is responsible for collecting, processing, and analyzing large datasets to support data-driven decision-making across the organization. This role transforms raw data into meaningful insights through reports, dashboards, and visualizations that enable stakeholders to understand trends, performance, and business opportunities.

• Collect, clean, validate, and prepare data from multiple internal and external sources.
• Analyze datasets to identify trends, patterns, correlations, and anomalies.
• Develop interactive dashboards, reports, and visualizations for business stakeholders.
• Collaborate with business users to define metrics, KPIs, and reporting requirements.
• Perform statistical analysis, forecasting, and basic modeling to support decision-making.
• Ensure data accuracy, integrity, and security across reporting and analytics processes.
• Document data definitions, methodologies, workflows, and reporting logic.
• Translate complex analytical results into clear, actionable insights and recommendations.
• Maintain, enhance, and optimize data visualization tools and reporting platforms.
• Support ad-hoc reporting requests and executive-level analytics.
• Validate data sources and reconcile discrepancies between systems.
• Participate in data governance initiatives and promote best practices in data usage.
• Identify opportunities to improve data quality, automation, and reporting efficiency.
• Work with cross-functional teams to support strategic initiatives and performance analysis.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 2-4 years of experience in data analysis or business intelligence roles.
• Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI.
• Strong analytical, critical thinking, and problem-solving skills.
• Experience working with structured datasets and relational databases.

• Knowledge of Python or R for data analysis, automation, and statistical modeling.
• Experience with big data platforms such as Hadoop, Spark, or cloud-based analytics tools.
• Ability to translate business requirements into data models and reporting solutions.
• Familiarity with ETL processes and data warehousing concepts.
• Excellent communication, presentation, and stakeholder management skills.