WHAT WILL YOU DO
- Analyze complex datasets to identify meaningful trends, patterns, and opportunities that inform business decisions
- Write and maintain databricks notebooks in Pyspark, including SQL queries with joins, window functions, and aggregations to extract and transform data from various sources
- Perform data cleaning, transformation, and validation to ensure accuracy and consistency across datasets
- Collaborate with product, marketing, measurement sciences, and operations teams to understand objectives and define key metrics (KPIs)
- Communicate analytical findings and recommendations to both technical and non-technical stakeholders through presentations and written reports
- Apply statistical methods to analyze large datasets and derive actionable insights
- Document analysis methodologies, data definitions, and processes for team knowledge sharing
- Identify opportunities for improving data quality and streamlining existing reporting processes
WHO YOU ARE
- Bachelor's degree in a quantitative field (e.g., Math, Computer Science, Economics, Statistics) or equivalent practical experience
- At least 2 years of professional experience in a data analyst or related analytical role
- Strong proficiency in SQL for data extraction and manipulation, including complex joins and window functions
- Experience applying statistical methods to analyze large datasets using Python
- Experience building data visualizations and dashboards that tell compelling stories for stakeholders with varying technical depth
- Strong communication and presentation skills with proven ability to distill complex analytical concepts into clear, concise insights
- Persistence and curiosity when working with new and sometimes complex datasets
- Ability to work independently while collaborating effectively with cross-functional teams
- Experience with cloud data platforms (Databricks, BigQuery, Snowflake, or similar)
- Familiarity with data warehousing concepts and best practicesPrevious experience in adtech, media, marketing, or measurement analytics
- Knowledge of A/B testing and experimental designExperience with version control systems (Git)
- Experience with Pyspark
- Familiarity with data pipeline concepts and ETL processes
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
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