Hybrid Data Analyst: Drive Decisions with SQL & Python

edkey; New York (NY); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k)

Flexible working hours

Hybrid work model

Job summary

Careertakes partners with a confidential client to fill a Data Analyst role in hybrid New York, NY. You will turn raw data into clear, actionable answers that inform product, risk, operations, and GTM decisions.

You will translate questions into analyses, run SQL against Snowflake, use Python and dbt to transform data, and communicate findings to cross-functional leadership. This role requires 2+ years of experience and a quantitative bachelor's degree.

Qualifications

• 2+ years in data/analyst roles.
• Bachelor’s in a quantitative field.
• Strong SQL skills; Snowflake preferred.
• Python for data analysis (pandas, numpy).
• Experience with dbt or ETL/data transformation is a plus.
• Foundational statistics and ML concepts.
• Clear written and verbal communication.
• Collaborative with cross-functional teams.

Responsibilities

• Turn raw data into clear, actionable answers for product, risk, ops, and GTM decisions.
• Translate business questions into structured analyses and steps.
• Conduct exploratory data analysis to identify trends and drivers.
• Run ad-hoc analyses and experiments to evaluate hypotheses.
• Write and optimize SQL queries against Snowflake.
• Use Python and dbt to clean, transform, and model data for analysis.
• Partner with Data Scientists to monitor production models and investigate anomalies.
• Support recurring model monitoring and investigate changes in outcomes.
• Communicate findings via data storytelling, visualizations, and presentations.

Skills

SQL (Snowflake)

Python (pandas)

dbt

ETL / Data modeling

Statistics concepts

Communication

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, CS

Tools

Snowflake

dbt

Job description

Careertakes partners with a confidential client to fill a Data Analyst role in hybrid New York, NY. You will turn raw data into clear, actionable answers that inform product, risk, operations, and GTM decisions.

You will translate questions into analyses, run SQL against Snowflake, use Python and dbt to transform data, and communicate findings to cross-functional leadership. This role requires 2+ years of experience and a quantitative bachelor's degree.