> Markdown version of [/jobs/ext/3845835-associate-data-analyst](https://www.wearedevelopers.com/jobs/ext/3845835-associate-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Analyst - **Company:** iSpot.tv, Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon S3, Data Analysis, Computer Programming, Software Debugging, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Snowflake, AI Coding Agents, Data Analytics, Workday - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/23_080948DDD8275BF43D88343AE7B29193 ## About the Role participating in team discussions to support collaboration and problem-solving.ResponsibilitiesYour expected workday will consist of:5% Internal Collaboration95% Hands on: Reporting, Coding, Debugging, Developing, Methods, etcQualifications and Education RequirementsEducation: Bachelor's degree in a quantitative or social science field;Coding Experience: 1+ year coding in SQL or Python;Technical Knowledge: Introductory knowledge of Analytics, Statistics, and AI coding tools;Communication: Exceptional written and verbal communication with internal stakeholders at all levels. Must be proactive and curiousPreferred SkillsExperience with analytical and data processing software, such as AWS s3, Snowflake, and DatabricksPrior role in the Ad Tech industryAdditional NotesiSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. ## Description Job TitleAs a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively