Overview
Skills
Job Details
Reston,VA(Onsite)
Fulltime
Job Summary:We are looking for a highly skilled Data Analyst with hands-on experience in SQL and Amazon Web Services (AWS) to join our growing analytics team. In this role, you will work with large-scale data stored in cloud platforms, write complex SQL queries, and deliver actionable insights that support business strategy and operational improvements.
Key Responsibilities:-
Write efficient and scalable SQL queries to extract, manipulate, and analyze data from relational and cloud-based data sources.
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Work with AWS data services such as Redshift, S3, Athena, Glue, and Lambda to manage and analyze data.
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Build and maintain ETL pipelines and ensure data accuracy, consistency, and completeness.
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Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or QuickSight.
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Collaborate with cross-functional teams (Data Engineers, Product Managers, Business Teams) to define data requirements and deliver data solutions.
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Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities.
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Monitor performance metrics and perform root cause analysis using large datasets.
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Support A/B testing, forecasting, and statistical analysis to aid business decision-making.
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Bachelor s degree in Computer Science, Data Science, Statistics, or a related field.
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2 5 years of experience as a Data Analyst or in a similar analytical role.
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Strong command of SQL for data extraction, transformation, and analysis.
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Proven experience working with AWS data tools (Redshift, S3, Athena, Glue, etc.).
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Experience with data visualization tools such as Tableau, Power BI, or AWS QuickSight.
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Understanding of ETL processes and data warehousing concepts.
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Ability to analyze large, complex datasets and translate findings into business insights.
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Strong verbal and written communication skills.
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Experience with Python or R for data analysis and automation.
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Familiarity with AWS IAM, CloudWatch, or Step Functions.
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Knowledge of data governance and security best practices on cloud platforms.
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Experience working in an Agile environment.
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Understanding of business KPIs and experience in building self-service data solutions.