Associate Data Analyst

Description

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

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
• Prior role in the Ad Tech industry
• Additional Notes:
• iSpot’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. Additionally, the following soft skills are required for success in this role: Issue identification; Willingness to ask questions; Time management; Focus and prioritization; Teamwork.
• Target cash compensation range: $76,787 - $92,916 USD Annually
• We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
• For more information on total rewards package, go HERE
• Hybrid & Flexible Workplace Policy
• iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
• Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
• LI-Remote
• If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
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