Senior Consultant/ Manager - Banking

Tiger Analytics; Illinois; In loco; USD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Tiger Analytics is seeking a Senior Consultant/Manager to join their advanced analytics consulting team. The ideal candidate will have more than 7 years of experience in data analytics, particularly in a banking or consulting environment. Key responsibilities include working with large datasets using Python and SQL, collaborating with business stakeholders, and utilizing Snowflake for data warehousing. This position offers significant career development opportunities within a fast-growing and entrepreneurial setting.

Competenze

• 7+ years of experience in Data Analytics in Banking/Consulting roles.
• Strong expertise in SQL for querying and manipulating large datasets.
• Proficiency in Python for data analysis and scripting.

Mansioni

• Partner with business stakeholders to translate business needs into solution requirements.
• Write efficient SQL queries for data extraction, transformation, and validation.
• Leverage Snowflake for data warehousing, modeling, and performance optimization.

Conoscenze

Python

SQL

Snowflake

Data Analysis

Data Visualization

AWS

Formazione

Bachelor's degree in Computer Science or any related field

Strumenti

Power BI

Tableau

AWS S3

Descrizione del lavoro

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.
• 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

Qualifications

• Bachelor's degree in Computer Science or any related field
• 7+ years of experience in Data Analytics in Banking/Consulting roles.
• 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.

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.