As a Data Analyst at Samsung Ads, your daily responsibilities will revolve around turning raw telemetry and advertising data into strategic business assets.

Your primary focus will be on analyzing CTV viewership patterns and ad-campaign performance. You will query massive databases to measure campaign reach, frequency, and audience demographic delivery. This data is critical for helping major brands understand the effectiveness of their advertising spend on Samsung Smart TVs.

In addition to ad-hoc analyses, you will design, build, and maintain interactive dashboards and reports using visualization tools. These dashboards are used by both internal sales teams and external clients to monitor campaign health in real time. You will collaborate closely with Data Engineers to ensure the underlying data pipelines are robust, accurate, and optimized for analytical querying.

You will also act as a strategic consultant to the business. You will participate in cross-functional meetings with Product, Engineering, and Sales to identify new opportunities for data monetization, improve audience targeting capabilities, and refine the measurement methodologies used across the Samsung Ads platform.

To be competitive for the Data Analyst position at Samsung Ads, you must possess a strong blend of technical skills, analytical curiosity, and communication capabilities.

• Must-have technical skills – Advanced proficiency in SQL (writing complex queries, window functions, and optimization) and strong capabilities in either Python (Pandas, NumPy) or Excel for data manipulation and modeling.
• Nice-to-have technical skills – Experience with cloud data warehouses (such as Snowflake, BigQuery, or Redshift), data visualization tools (like Tableau or PowerBI), and familiarity with version control (Git).
• Experience level – Typically 2+ years of experience in a data analytics, business intelligence, or quantitative research role. Prior experience in digital advertising, media, or ad-tech is highly valued.
• Soft skills – Exceptional communication skills, a proactive approach to problem-solving, comfort working with ambiguous requirements, and the ability to manage multiple projects simultaneously.

Q: How technical is the Data Analyst interview at Samsung Ads? A: The interview is highly practical and technical. You should expect live SQL coding exercises, a take-home analytical test, and questions regarding data warehousing concepts. You must be prepared to write actual code and demonstrate your hands-on analytical capabilities.

Q: What is the balance between Python and Excel in this role? A: This can vary by team, but both are highly valued. While Python is preferred for large-scale data cleaning and engineering-adjacent tasks, Excel remains a critical tool for quick business modeling and client-facing reporting. Do not neglect your spreadsheet skills during preparation.

Q: How can I best prepare for the case study portion of the interview? A: Familiarize yourself with advanced advertising concepts such as Connected TV (CTV), programmatic advertising, and media measurement metrics. Practice structuring your analytical approach out loud, starting with the business objective and ending with actionable recommendations.

Q: What is the working culture like at Samsung Ads? A: The culture is fast-paced, collaborative, and deeply data-driven. Because you are working with cutting-edge CTV technology, teams are highly innovative and continuously look for new ways to leverage proprietary hardware data to solve complex advertising challenges.

• Clarify the expectations early: During your initial recruiter call, ask about the specific tools the hiring team prefers for the technical assessment. Knowing whether they favor Python, SQL, or Excel allows you to tailor your preparation effectively.

• Be ready for practical, hands-on tests: Multiple candidates have noted that the technical rounds focus heavily on practical application ("practicals, practicals, practicals"). Ensure you can write clean, bug-free SQL queries and explain your logic clearly under time constraints.

• Brush up on data warehousing basics: Even for an analyst role, understanding how data is structured, stored, and modeled in a warehouse will help you write more efficient queries and collaborate better with data engineering teams.

• Practice structured communication: When answering behavioral and case questions, use the STAR method (Situation, Task, Action, Result). Quantify your achievements wherever possible (e.g., "reduced query execution time by 30%" or "identified opportunities that increased campaign ROI by 15%").

A Data Analyst role at Samsung Ads offers a unique opportunity to work at the absolute forefront of the Connected TV and advanced advertising industries. By leveraging massive, proprietary Smart TV datasets, you will solve complex analytical challenges that directly impact global brands and millions of viewers. The role is intellectually stimulating, technically rigorous, and highly visible within the organization.

To succeed in this competitive interview process, focus on mastering your SQL fundamentals, refining your analytical approach in both Python and Excel, and practicing how to translate technical data points into strategic business stories. Approach every interview stage with preparation, structure, and a clear understanding of the ad-tech landscape.

The compensation details above outline the competitive salary ranges and components typical for this role. Use this data to align your expectations and prepare for future offer discussions. For more comprehensive interview insights, company profiles, and real-world preparation resources, explore the additional tools available on Dataford to give yourself a distinct competitive advantage. Good luck with your preparation—your journey to joining Samsung Ads starts now.