Tiger Analytics

Delivers Data and AI transformation

Senior Consultant/Manager - Banking

Data AnalysisConfirmed live in the last 24 hours

Full-timeMcLean, VA, USANo salary listedIn-person

About the Job

Requirements

A Master's degree in Computer Science or any related field is required.
At least 7 years of experience in data analytics is required; experience within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking is preferred.
Strong SQL expertise for querying and manipulating large datasets is required.
Proficiency in Python for data analysis and scripting is required.
Experience with data visualization tools such as Power BI, Tableau, or Looker is required.
Hands-on experience with AWS S3 and Snowflake is required.
Understanding of banking or financial services data is required.
Experience in a client-facing or consulting environment is required.
Hands-on experience in data analysis, data profiling, and exploratory analysis is required.
Hands-on experience analyzing, identifying, and documenting transformation logic and rules is required.
Teamwork and problem-solving abilities are required.

Responsibilities

Partner with business stakeholders to understand and translate business needs into solution requirements.
Use Python and PySpark, including Databricks and Jupyter, to process and analyze large datasets.
Write efficient SQL queries for data extraction, transformation, and validation.
Work with regulatory reporting topics such as CCAR, Basel, and AML/KYC, and consumer financial data.
Handle large-scale consumer banking, credit risk, or payment processing datasets.
Consume and manage data from AWS S3 and integrate it with downstream systems.
Use Snowflake for data warehousing, modeling, and performance optimization.
Build and maintain dashboards using Tableau, Power BI, or QuickSight for business stakeholders.
Collaborate with cross-functional teams to translate business requirements into data solutions.

Desired Qualifications

Experience within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking.

Senior Consultant/ Manager- Banking

Tiger Analytics Inc. · McLean, United States · Full-time · Posted 2026-07-24

Workplace: on_site

Department: Consulting

Description

Tiger Analytics is looking for experienced Senior Consultant/ Manager 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 Consultant/ Manager - with strong experience in Python, SQL, Snowflake, 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.
Familiarity with regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data.
Experience handling large-scale consumer banking, credit risk, or payment processing datasets.
Consume and manage data from AWS S3 and integrate with downstream systems.
Leverage Snowflake for data warehousing, modeling, and performance optimization.
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
7+ 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.).
Hands-on with AWS (S3) and Snowflake
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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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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