Overview
Skills
Job Details
Position: Data Analyst
Experience Required: 5+ years
Location: Remote
Visa OPT
About the Role
We are seeking an experienced Data Analyst with 5 years of proven expertise in data analysis, visualization, and business intelligence. The ideal candidate will be responsible for transforming complex data sets into actionable insights, enabling informed business decisions and driving organizational growth.
Key Responsibilities
Collect, clean, and validate large datasets from multiple sources (databases, APIs, spreadsheets, etc.)
Perform exploratory and advanced data analysis to identify trends, patterns, and anomalies
Develop dashboards, reports, and visualizations using BI tools (Power BI, Tableau, or similar)
Collaborate with cross-functional teams (Product, Engineering, Business, Marketing, Finance) to provide data-driven recommendations
Write SQL queries to extract and manipulate structured and unstructured data
Conduct root cause analysis to support strategic initiatives and optimize processes
Automate recurring reports and improve existing reporting frameworks
Ensure data accuracy, governance, and compliance with security standards
Present findings and insights to stakeholders in a clear and compelling manner
Required Skills & Qualifications
Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
5 years of hands-on experience in data analysis, reporting, and visualization
Strong proficiency in SQL (complex queries, joins, aggregations, optimization)
Experience with BI tools: Power BI, Tableau, Qlik, or Looker
Proficiency in Python/R for data analysis and automation
Strong knowledge of Excel (Pivot Tables, Power Query, VBA preferred)
Solid understanding of ETL processes and data warehousing concepts
Excellent analytical, problem-solving, and communication skills
Experience in working with large datasets in cloud environments (Azure, AWS, or Google Cloud Platform preferred)
Preferred Skills
Exposure to machine learning techniques for predictive analytics
Knowledge of statistical modeling and hypothesis testing
Familiarity with big data tools (Spark, Databricks, Hadoop)
Experience in Agile/Scrum methodologies