Data Analyst, Samba TV

• The James/Jayne Bond of Data Analysis
• Sophisticated technical mastery of SQL, Python, Databricks, BigQuery
• Cool under pressure - thrives in tackling high-stakes, complex data challenges
• Resourceful in problem solving - enjoys working independently to solve issues
• Unconventional - does things as they should be done, not have been done
• Goal-oriented - relentlessly driven to achieve goals and team success
• 4-8 years of experience in a technical data analyst role
• Absolute technical fluency in SQL, Python, Databricks, BigQuery
• Capabilities in statistical analyses, modeling, and exploratory data investigations
• Strong communication skills, obsessively organized, meticulously detail-oriented
• Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows

Desirable

• At Samba TV, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers
• The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations
• The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members
• The role reports to the VP Measurement Science
• You'll extract data from Samba databases (e.g. conversion rate by audience segment)
• Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel)
• Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics
• Visualize data to make it more accessible internally and externally
• Independently manage, maintain, and execute the JIRA board ticketing system
• Define mechanisms (e.g. weekly standups, office hours) to manage workflows
• Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks)