Senior Data Analyst - Banking Insights & Cloud Analytics
Tiger Analytics Inc.
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Tiger Analytics is seeking an experienced Senior Data Analyst to join our fast-growing advanced analytics consulting firm in the United States. We partner with Fortune 500 companies to turn data into business value, leveraging Python, SQL, and cloud technologies to deliver insights and measurable impact.
The ideal candidate will have hands-on data analysis experience, be comfortable in a consulting environment, and collaborate with cross-functional teams to transform data into actionable
Qualifications
- Master's degree in Computer Science or related field.
- 5+ years of experience in Data Analytics, preferably in banking or financial services.
- Strong SQL querying and data manipulation skills.
- Proficiency in Python for data analysis and scripting.
- Experience with data visualization tools (Power BI, Tableau, Looker).
- Experience in client-facing or consulting environments.
Responsibilities
- Partner with stakeholders to translate business needs into data solutions.
- Work with large datasets using Python/PySpark for processing and analysis.
- Write efficient SQL queries for data extraction, transformation, and validation.
- Handle large-scale banking or financial datasets and derive insights.
- Consume and manage data from AWS S3 and integrate with downstream systems.
- Build and maintain dashboards for business stakeholders.
- Collaborate with cross-functional teams to translate requirements into data solutions.
Skills
Education
Tools
Job description
Tiger Analytics is seeking an experienced Senior Data Analyst to join our fast-growing advanced analytics consulting firm in the United States. We partner with Fortune 500 companies to turn data into business value, leveraging Python, SQL, and cloud technologies to deliver insights and measurable impact.
The ideal candidate will have hands-on data analysis experience, be comfortable in a consulting environment, and collaborate with cross-functional teams to transform data into actionable
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