Data Analyst

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

Overview

On Site
$30 - $40
Contract - Independent
Contract - W2
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Agile
Amazon Redshift
Amazon S3
Amazon Web Services
Analytical Skill
Banking
Basel
Cloud Computing
Communication
Conflict Resolution
Credit Cards
Dashboard
Data Analysis
Data Extraction
Data Manipulation
Data Modeling
Data Quality
Data Visualization
Extract
Transform
Load
Financial Services
Fraud
Machine Learning (ML)
Management
Microsoft Power BI
Predictive Analytics
Problem Solving
Python
R
Regulatory Compliance
Relational Databases
Reporting
Retail Banking
Risk Management
Soft Skills
SQL
Sprint
Statistics
Tableau

Job Details


Role: Data Analyst
Location: Texas
Experience: 5 8 years (adjust as per requirement)

Role Summary

The Data Analyst will work closely with business stakeholders, data engineers, and product teams to deliver actionable insights that drive strategic decisions. The role involves analyzing large datasets, developing dashboards, and producing reports to support business initiatives across lending, banking, and risk management functions.

Key Responsibilities

  • Collaborate with business teams to understand requirements and translate them into data queries, reports, and visualizations.

  • Extract, clean, and transform data from various sources using SQL, Python, or other data tools.

  • Develop dashboards and reports in tools such as Tableau, Power BI, or Looker to present findings effectively.

  • Perform deep-dive data analysis to identify trends, patterns, and anomalies in customer and transaction data.

  • Support data quality initiatives, ensuring accuracy, completeness, and consistency.

  • Partner with risk and compliance teams to ensure adherence to regulatory requirements.

  • Present analytical findings and recommendations to senior management in a clear and concise manner.

  • Work in an Agile environment, contributing to sprint planning, backlog grooming, and retrospectives.

Required Skills & Competencies

  • Technical Skills:

    • Strong proficiency in SQL for data extraction and analysis.

    • Experience with Python or R for data manipulation and statistical analysis.

    • Hands-on experience with Tableau, Power BI, or Looker for data visualization.

    • Knowledge of data modeling, ETL processes, and relational databases.

  • Domain Knowledge:

    • Understanding of banking and financial services data, preferably in credit cards, lending, or retail banking.

    • Familiarity with risk management, fraud detection, or regulatory compliance reporting (Basel, CCAR, etc.).

  • Soft Skills:

    • Strong analytical thinking and problem-solving ability.

    • Excellent communication skills to convey complex insights to non-technical stakeholders.

    • Ability to manage multiple priorities and work in fast-paced environments.

Preferred Qualifications

  • Prior experience with Capital One, major banks, or FinTech projects.

  • Exposure to AWS data tools (Redshift, S3, Glue) or other cloud platforms.

  • Familiarity with machine learning concepts for predictive analytics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.