Senior Consultant/ Manager - Banking

Tiger Analytics

  • Jersey City, NJ
  • 5 days ago
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    Skills

    • Amazon Simple Storage Service (S3)unmatched
    • Bank Managementunmatched
    • Business Supportunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Consultingunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Setsunmatched
    • Data Warehousingunmatched
    • Fortune 500 Customersunmatched
    • Leadershipunmatched
    • Market Researchunmatched
    • Needs Assessmentunmatched
    • Performance Modelingunmatched
    • Performance Tuning/Optimizationunmatched
    • Power BIunmatched
    • Python Programming/Scripting Languageunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Snowflake Schemaunmatched
    • System Integration (SI)unmatched
    • Tableauunmatched

    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.
    • 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

    Numbers & Facts

    LocationJersey City, NJ

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