VySystems

Business Analyst or Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in NYC or Toronto, with a long-term contract and a pay rate of "X". Requires 5-8 years of analytics experience, strong SQL skills, and familiarity with financial data. Preferred skills include Snowflake and BI tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 18, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Snowflake #ML (Machine Learning) #Looker #Strategy #Business Analysis #Python #Data Analysis #BI (Business Intelligence) #Redshift #SQL (Structured Query Language) #Datasets #Data Science #Cloud #Visualization #Tableau #Data Modeling #BigQuery #Forecasting #Data Warehouse #Data Engineering
Role description
Role: Data Scientist Location: NYC, NY | Toronto, ON Duration: Long Term Specification: We’re looking for a contractor who sits between a Business Analyst and a Junior Data Scientist, focused on product analytics, financial analysis, and ad-hoc data reporting for card programs. This is not a Data Engineer or senior DS role; we need someone who is strong in SQL, analytical thinking, and building usable insightsβ€”not designing pipelines or doing ML research. This person will support product strategy and client-facing analytics with tasks. Ideal Candidate should have experience on the below:.- β€’ 5-8 years of experience in analytics roles β€’ Worked as a Product Analyst, Business Analyst, Data Analyst, or Junior Data Scientist β€’ Significant time writing SQL and working with real-world messy datasets β€’ Some exposure to financial or transaction data (ideal but not required) β€’ Strong communication skillsβ€”they should be able to explain what the numbers mean Required Skills 1. SQL (must-have, non-negotiable) β€’ Strong hands-on SQL for data analysis (joins, window functions, aggregations, date/time logic) β€’ Experience working in a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.) 1. Analytical & Business Problem-Solving β€’ Comfortable turning fuzzy product questions into structured analyses β€’ Ability to interpret financial/card-program data (transactions, declines, fees, etc.) Preferred Skills (Nice-to-Have) Snowflake experience β€’ Exposure to Snowflake-specific SQL or warehouse concepts is ideal but not required Python for analytics β€’ Useful for deeper explorations, forecasting, or lightweight data modeling β€’ Not a requirement BI visualization tools β€’ Tableau or Looker strongly preferred β€’ Experience building dashboards, simple visualizations, or metric tracking reports Payments / Card Programs domain knowledge β€’ Experience working with banking data, card transactions, or fintech analytics β€’ Understanding of digital wallets, auth flows, or settlement data is a plus