Data Analyst

  • Richmond, VA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
$40 - $45
Contract - W2
Contract - 6 Month(s)

Skills

Python
SQL
Tableau
AWS
data modeling

Job Details

Job Title: Senior Data Analyst
Location: Richmond & McLean, Virginia
Experience Required: 5+ Years
Employment Type: W2 Contract

****Note: Looking for Ex-CapitalOne****

Job Summary:
We are seeking a highly skilled and experienced Senior Data Analyst to join our team. The ideal candidate will have a strong analytical mindset, proficiency in data visualization and statistical analysis, and the ability to translate complex data into actionable insights.
You will work closely with cross-functional teams to support strategic decision-making and optimize business performance.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and insights.
  • Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Looker.
  • Collaborate with stakeholders to understand business requirements and translate them into data solutions.
  • Perform data cleaning, transformation, and validation to ensure data integrity.
  • Conduct A/B testing and statistical analysis to support product and marketing initiatives.
  • Present findings and recommendations to senior leadership clearly and compellingly.
  • Mentor junior analysts and contribute to best practices in data analysis.

Required Qualifications:

  • Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • 5+ years of experience in data analysis or a related role.
  • Proficiency in SQL and at least one programming language (Python).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical methods and data modeling.
  • Excellent communication and presentation skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Experience with cloud platforms (AWS).
  • Familiarity with machine learning concepts and tools.
  • Knowledge of business intelligence and data warehousing.
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