Ispottv Associate Data Analyst at iSpot responsible for coding and optimizing R, Python, or SQL scripts for data processing. Collaborates with teams to collect, aggregate, and analyze data, creating visualizations and reports.
Responsibilities
Your expected workday will consist of:
5% Internal Collaboration
95% Hands on: Reporting, Coding, Debugging, Developing, Methods, etc
Qualification
EducationCoding ExperienceTechnical KnowledgeCommunicationPrior role in the Ad Tech industryAdditional NotesHybrid & Flexible Workplace Policy
Required
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
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.
