Bachelor's degree in Computer Science or related field
7+ years of experience in Data Analytics, preferably in Banking/Consulting roles
Strong expertise in SQL for handling large datasets
Proficiency in Python for data analysis and scripting
Experience with data visualization tools like Power BI or Tableau
Hands-on with AWS (S3) and Snowflake
Understanding of banking/financial services data is essential
Experience in consulting or client-facing positions
Familiarity with data profiling and exploratory analysis
Responsibilities
Partner with business stakeholders to clarify and translate needs into solution requirements.
Process and analyze large datasets using Python/PySpark (Databricks/Jupyter).
Write efficient SQL queries for extracting, transforming, and validating data.
Manage data from AWS S3 and integrate with other systems.
Utilize Snowflake for warehouse management and optimization.
Create and maintain dashboards using Tableau, Power BI, or QuickSight.
Collaborate with cross-functional teams to develop data-driven solutions.
Benefits
Significant career development opportunities as the company expands.
Opportunity to work in a small, fast-growing environment.
Exposure to high levels of individual responsibility in a challenging role.
Engagement in an entrepreneurial atmosphere that fosters innovation.
Full Job Description
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
Requirements
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.
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.
About Tiger Analytics
Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
