Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary
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.
Key Responsibilities
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.
Qualifications
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.
Preferred Skills / Duties
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.
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