Data Analyst
US$77,000 – US$93,000 / yr base salary
Posted 16 Oct 2026
Advertised as “Associate Data Analyst”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 1+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Visa sponsorship
- Not offered
| Base salary | US$77,000 – US$93,000 / yr |
|---|
Field of studyQuantitative, Social Science
Study levelBachelor's
Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You’ll Be Part Of:
As 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 participating in team discussions to support collaboration and problem-solving.
Responsibilities:
Your expected workday will consist of:
- 5% Internal Collaboration
- 95% Hands on: Reporting, Coding, Debugging, Developing, Methods, etc
Qualifications and Education Requirements:
- Education: 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 curious
Preferred Skills:
- Experience with analytical and data processing software, such as AWS s3, Snowflake, and Databricks