Data Analyst
Position: Data Analyst
Work Location: McLean, VA (Hybrid)
Duration: 06+ Months (Potential to Extend)
Job Description:
The client is seeking a highly skilled Data Analyst. The ideal candidate will have expertise in Data Analysis, Python, SQL, AWS services, and Tableau to extract insights, optimize business processes, and support data-driven decision-making. The Data Analyst will be responsible for gathering, cleaning, analyzing, and visualizing data while ensuring data integrity and accuracy.
Key Responsibilities:
• Collect, clean, and analyze large datasets to extract meaningful insights.
• Develop and maintain SQL queries to retrieve and manipulate data efficiently.
• Utilize Python for data wrangling, analysis, and automation of reporting tasks.
• Design and implement AWS solutions for data storage, processing, and analytics.
• Create dashboards and reports using Tableau and other visualization tools to present insights to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide analytical solutions.
• Ensure data integrity, security, and best practices in handling sensitive data.
• Identify trends and patterns in data to support business decisions and strategy.
• Optimize data workflows and improve existing data pipelines.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of experience in data analysis, business intelligence, or a similar role.
• Proficiency in SQL for querying and managing databases.
• Strong programming skills in Python (Pandas, NumPy, Matplotlib, etc.).
• Experience with AWS services such as S3, Redshift, Athena, and Lambda.
• Expertise in Tableau for data visualization and dashboard creation.
• Familiarity with other data visualization tools (Power BI or similar).
• Knowledge of ETL processes and data warehousing concepts.
• Strong problem-solving skills and attention to detail.
• Excellent communication and presentation skills.
Preferred Qualifications:
• Experience with big data technologies (Spark, Hadoop).
• Knowledge of machine learning techniques and statistical modeling.
• Understanding of DevOps and CI/CD pipelines for data workflows.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Position: Data Analyst
Work Location: McLean, VA (Hybrid)
Duration: 06+ Months (Potential to Extend)
Job Description:
The client is seeking a highly skilled Data Analyst. The ideal candidate will have expertise in Data Analysis, Python, SQL, AWS services, and Tableau to extract insights, optimize business processes, and support data-driven decision-making. The Data Analyst will be responsible for gathering, cleaning, analyzing, and visualizing data while ensuring data integrity and accuracy.
Key Responsibilities:
• Collect, clean, and analyze large datasets to extract meaningful insights.
• Develop and maintain SQL queries to retrieve and manipulate data efficiently.
• Utilize Python for data wrangling, analysis, and automation of reporting tasks.
• Design and implement AWS solutions for data storage, processing, and analytics.
• Create dashboards and reports using Tableau and other visualization tools to present insights to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide analytical solutions.
• Ensure data integrity, security, and best practices in handling sensitive data.
• Identify trends and patterns in data to support business decisions and strategy.
• Optimize data workflows and improve existing data pipelines.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of experience in data analysis, business intelligence, or a similar role.
• Proficiency in SQL for querying and managing databases.
• Strong programming skills in Python (Pandas, NumPy, Matplotlib, etc.).
• Experience with AWS services such as S3, Redshift, Athena, and Lambda.
• Expertise in Tableau for data visualization and dashboard creation.
• Familiarity with other data visualization tools (Power BI or similar).
• Knowledge of ETL processes and data warehousing concepts.
• Strong problem-solving skills and attention to detail.
• Excellent communication and presentation skills.
Preferred Qualifications:
• Experience with big data technologies (Spark, Hadoop).
• Knowledge of machine learning techniques and statistical modeling.
• Understanding of DevOps and CI/CD pipelines for data workflows.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
