Data Analyst Associate - Hybrid, Equity Eligible

iSpot; United States; Hybrid; USD 77,000 - 93,000; Full time

Benefits offered by this job

Equity plan

Hybrid work schedule

Overtime pay (pre-approved)

Job summary

iSpot is seeking a Client Data Scientist to join the Data Science team in a hybrid capacity. You will write and optimize SQL/Python scripts, integrate data from multiple sources, and create clear visualizations to guide decisions.

You’ll collaborate with internal and external teams, translate findings for stakeholders, and help design data-driven solutions for complex problems. The role emphasizes strong communication, analytical rigor, and adaptability, with eligibility for equity and a

Qualifications

• Bachelor's degree in a quantitative or social science field.
• 1+ year coding in SQL or Python.
• Introductory knowledge of Analytics, Statistics, and AI coding tools.
• Exceptional written and verbal communication with internal stakeholders at all levels.

Responsibilities

• Collaborate on complex problems, writing and optimizing SQL or Python scripts for data processing.
• Adapt tools and methods to evolving needs and balance workloads across projects.
• Collect, aggregate, and manipulate data from multiple sources to derive insights and create visualizations or reports.
• Engage with internal and external teams to clarify requirements and document project status in tools like JIRA.
• Communicate findings to diverse audiences and participate in team discussions to support collaboration.

Skills

SQL

Python

Analytics

Statistics

Communication

Education

Bachelor's degree in a quantitative or social science field

Tools

AWS S3

Snowflake

Databricks

Job description

iSpot is seeking a Client Data Scientist to join the Data Science team in a hybrid capacity. You will write and optimize SQL/Python scripts, integrate data from multiple sources, and create clear visualizations to guide decisions.

You’ll collaborate with internal and external teams, translate findings for stakeholders, and help design data-driven solutions for complex problems. The role emphasizes strong communication, analytical rigor, and adaptability, with eligibility for equity and a