WHAT WILL YOU DO
- Support senior analysts in performing detailed analysis on complex datasets
- Assist with data extraction and preparation using Pyspark and SQL queries, including joins and aggregations
- Perform data cleaning, transformation, and validation tasks to ensure accuracy and consistency
- Participate in stakeholder meetings to understand data requirements and learn how metrics align with business objectives
- Document analysis methodologies, data definitions, and findings for team knowledge sharing
- Assist with ad-hoc analysis requests from product, marketing, and operations teams
- Contribute to data quality initiatives and help identify data inconsistencies
WHO YOU ARE
- Bachelor's degree in a quantitative field (e.g., Math, Computer Science, Economics, Statistics) or equivalent practical experience1-2 years of professional experience in a data analyst or related analytical role
- Proficiency in SQL for data extraction, including experience with joins and aggregations
- Experience with Python data manipulation and basic analysisExperience with data visualization tools
- Strong attention to detail and commitment to data accuracy
- Good communication skills with ability to explain findings to both technical and non-technical audiences
- Curiosity and persistence when working with new and complex datasets
- Ability to manage multiple tasks and meet deadlines in a fast-paced environment
- Experience with cloud data platforms (AWS, GCP, Azure)
- Familiarity with data warehousing concepts
- Previous exposure to adtech, media, or measurement analytics
- Experience with version control systems (Git)
- Knowledge of basic statistical concepts and methodologies
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.
.png)
