Senior Data Analyst- Banking

Tiger Analytics

Richmond (VA)

On-site

USD 90,000 - 135,000

Full time

25 hours ago
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Job summary

Tiger Analytics is seeking an experienced Senior Data Analyst in the Richmond, VA area to drive data-driven decisions for top-tier clients. You will work with Python, SQL, and cloud technologies to analyze large datasets and deliver actionable insights.

You will partner with stakeholders, transform data, and build dashboards using Tableau/Power BI. Ideal candidates have 5+ years in data analytics within banking or financial services and client-facing consulting experience.

Qualifications

  • Master's degree in Computer Science or related field.
  • 5+ years of experience in Data Analytics in financial services or related sector.
  • Strong SQL for large datasets and data extraction/validation.
  • Proficiency in Python for data analysis and scripting.
  • Experience with data visualization tools (Power BI, Tableau, Looker).
  • Knowledge of banking/financial services data and client-facing/consulting experience.
  • Hands-on data analysis, profiling, and transformation-rule documentation.

Responsibilities

  • Partner with stakeholders to translate business needs into data solutions.
  • Work with large datasets using Python/PySpark (Databricks/Jupyter).
  • Write efficient SQL queries for data extraction, transformation, and validation.
  • Handle large-scale banking/credit datasets.
  • Ingest data from AWS S3 and integrate with downstream systems.
  • Build and maintain dashboards for business stakeholders.
  • Collaborate with cross-functional teams to implement data solutions.

Skills

Python
SQL
Data Analytics
Cloud technologies
PySpark
Databricks
Tableau
Power BI
Looker

Education

Master's degree in Computer Science or related field

Tools

Tableau
Power BI
Looker
Databricks

Job description

Tiger Analytics is looking for an experienced Senior Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a Senior Data Analyst - with strong experience in Python, SQL, and cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Key Responsibilities
  • 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
  • Experience handling 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 (Tableau, Power BI, or QuickSight) for business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into data solutions
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
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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Significant career development opportunities
High degree of individual responsibility