Full-Time Data Analyst

iSpot.tv 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.

About iSpot:At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns—from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results.

About the Team:Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth.

About the Role:We are seeking a passionate Data Analyst to join our dynamic Client Data Science team. In this role, you will design and develop custom reports tailored to our iSpot clients, providing them with the insights they need to succeed. We’re looking for someone who shares our obsession with data accuracy and possesses an insatiable curiosity for learning and tackling challenging goals in a fast-paced environment.

Join us in this collaborative environment, where your contributions will help drive innovation and push the boundaries of the media industry. We can’t wait to see how you’ll make an impact!

Responsibilities: As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

1. 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.
2. 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.
3. Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
4. 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.
5. 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.

Your expected work day will consist of:

• 10% Project Leadership
• 5% Internal Collaboration
• 85% Hands-on: Reporting, Coding, Debugging, Developing, Methods, etc.

Qualifications:

Experience: 1+ years of experience in Analytics, Data Science, or comparable field, including work experience, internships and school programs

Education: Bachelor's degree in a quantitative or social science field

Coding Experience: 1+ years coding experience in R, Python, or SQL

Coding Skill: Basic coding skill in R, Python, or SQL

Technical Knowledge: Introductory knowledge of Analytics, Statistics, and a BI software

Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels

Soft Skills: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:

• Prioritization of accuracy
• Flexibility and adaptability
• Resourcefulness
• Logic

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