Data Analyst: Turn Data into Growth for Fintech

Guarantors Technology Service Inc; New York (NY); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health savings account

Flexible spending accounts

401(k)

PTO & holidays

Paid parental leave

Disability insurance

Job summary

TheGuarantors is seeking a Data Analyst to join our Data Science Team in a highly cross-functional role focused on turning data into clear, actionable answers for the business. You will dig into data to uncover insights, build analytical and reporting frameworks, and run ad-hoc analyses to answer emerging business questions.

Based in NYC with a hybrid schedule (3 days onsite), you will write and optimize SQL queries against Snowflake, use Python/dbt to clean and model data, and present findings

Qualifications

• 2+ years of experience in data analyst or related quantitative role.
• Degree in Data Science, Statistics, Computer Science, or related field.
• Strong SQL and Python with foundational ML concepts.

Responsibilities

• Translate ambiguous business questions into clear, structured analyses.
• Conduct exploratory data analysis to identify trends and insights for business decisions.
• Run ad-hoc analyses and experiments to evaluate hypotheses addressing business challenges.
• Write and optimize SQL queries against Snowflake; use Python/dbt to clean, transform, and model data.
• Partner with Data Scientists to analyze and monitor models and conduct deeper analyses.
• Support recurring model monitoring and established Data Science processes.
• Communicate findings through data storytelling, visualizations, and presentations to stakeholders.

Skills

Data analytics

SQL

Python

Communication

Education

Data Science degree

Tools

SQL

Python

dbt

Snowflake

Job description

TheGuarantors is seeking a Data Analyst to join our Data Science Team in a highly cross-functional role focused on turning data into clear, actionable answers for the business. You will dig into data to uncover insights, build analytical and reporting frameworks, and run ad-hoc analyses to answer emerging business questions.

Based in NYC with a hybrid schedule (3 days onsite), you will write and optimize SQL queries against Snowflake, use Python/dbt to clean and model data, and present findings