Senior Data Analyst – Banking

Jobtailor; McLean (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor in McLean, VA seeks an experienced Data Analytics professional to translate business needs into data solutions, handling large datasets with Python and SQL.

You will build dashboards with Tableau, Power BI, or Looker, partner with stakeholders, and deliver analytics that inform strategic decisions.

Qualifications

• Master's degree in Computer Science or related field.
• 5+ years of Data Analytics experience in Tier-1 financial institutions or major banks.
• Strong SQL querying and data manipulation experience.
• Proficiency in Python for data analysis.
• Experience with data visualization tools (Power BI, Tableau, Looker, etc.).
• Experience in client-facing or consulting environments.
• Understanding of banking/financial services data.

Responsibilities

• Partner with stakeholders to translate business needs into analytical requirements.
• Work with large datasets using Python/PySpark for data processing and analysis.
• Write efficient SQL queries for data extraction, transformation, and validation.
• Build and maintain dashboards using Tableau, Power BI, or Looker.
• Collaborate with cross-functional teams to drive business insights.

Skills

SQL Expertise

Python Proficiency

Data Analytics

Data Processing

Team Collaboration

Education

Master's Degree in Computer Science

Tools

Databricks

Jupyter

Tableau

Power BI

Looker

AWS S3

QuickSight

Job description

• Partner with business stakeholders to understand and translate business needs into solution requirements
• Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis
• Write efficient SQL queries for data extraction, transformation, and validation
• Handle large-scale consumer banking, credit risk, or payment processing datasets
• Consume and manage data from AWS S3 and integrate with downstream systems
• Build and maintain dashboards using Tableau, Power BI, or QuickSight
• Collaborate with cross-functional teams to translate business requirements into data solutions
• Perform data analysis to support business insights and decision-making

Requirements

• Master's degree in Computer Science or any related field
• 5+ years of experience in Data Analytics, preferably within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking
• Strong expertise in SQL for querying and manipulating large datasets
• Proficiency in Python for data analysis and scripting
• Experience with data visualization tools (Power BI, Tableau, Looker, etc.)
• Understanding of banking/financial services data is must have
• Experience working in a client-facing or consulting environment
• Hands-on experience in data analysis, data profiling, and exploratory analysis
• Hands-on experience in analyzing, identifying, and documenting transformation logic and rules
• Excellent teamwork and problem-solving abilities

Core Competencies

Demonstrates expertise in Data Analytics with a strong focus on SQL and Python for data processing and analysis, alongside proficiency in data visualization tools like Tableau and Power BI. Possesses a solid understanding of banking and financial services data, enabling effective collaboration with stakeholders to drive business insights.

Highest-signal resume keywords

• SQL Expertise
• Python Proficiency
• Data Visualization (Tableau, Power BI)
• Banking/Financial Services Data Understanding
• Data Analysis and Profiling

ATS Optimization Keywords

Hard Skills

• Data Analysis
• SQL Querying
• Python Scripting
• Data Transformation
• Data Profiling
• Exploratory Analysis
• Data Extraction
• Data Validation
• Data Management
• Data Processing

Soft Skills

• Teamwork
• Problem-Solving
• Collaboration
• Communication
• Client-Facing Skills

Certifications & Qualifications

• Master's Degree in Computer Science

Industry Keywords

• Consumer Banking
• Credit Risk
• Payment Processing
• Financial Institutions
• Data Solutions

Tools & Technologies

• AWS S3
• Databricks
• Jupyter
• Tableau
• Power BI
• QuickSight
• Looker