At Lg Ad Solutions, a Business Analyst plays a pivotal role in shaping the future of Connected TV (CTV) and cross-screen advertising. As a leader in this rapidly evolving space, the company relies heavily on data-driven decision-making to connect brands with audiences on premium smart TV platforms. In this role, you are not just a reporter of metrics; you are a strategic partner who translates massive datasets into actionable insights that optimize ad campaigns, improve inventory monetization, and drive product innovation.

The impact of a Business Analyst is felt across multiple departments, from engineering and product development to sales and executive leadership. You will work with complex, high-velocity data pipelines to analyze viewer behavior, ad delivery performance, and publisher yield. By identifying trends, inefficiencies, and growth opportunities, your analysis directly influences high-stakes business strategies and campaign execution for some of the world's largest brands.

This position requires a unique blend of technical expertise, logical reasoning, and business acumen. Candidates must be prepared to tackle ambiguous problems, navigate massive data environments, and communicate complex technical findings to non-technical stakeholders. If you thrive in a fast-paced, highly collaborative environment where your analytical contributions directly move the needle, this role offers an exceptionally rewarding career path.

The questions you will face during the Lg Ad Solutions interview process are designed to test your technical execution, logical reasoning, and business intuition. The following questions are representative of patterns observed in real interview experiences. They are grouped by core competency areas to help you structure your preparation.

SQL & Data Manipulation

These questions evaluate your ability to write clean, efficient queries to extract and aggregate data under pressure, sometimes without the help of an IDE.

• Write a query to find the top three highest-performing ad campaigns by monthly revenue, grouped by device type.
• Given a table of user ad impressions and a table of user clicks, write a query to calculate the Click-Through Rate (CTR) for each publisher.

Preparing for an interview at Lg Ad Solutions requires a balanced approach. Because the company sits at the intersection of media, technology, and advertising, you must demonstrate both technical rigor and commercial awareness.

Technical Rigor – You must be highly proficient in data extraction and manipulation. This means mastering SQL and having a strong grasp of Python or Excel for data cleaning and modeling. Expect to write code live, sometimes in restrictive environments like a plain text document or a whiteboard.

Structured Problem Solving – Interviewers care deeply about how you think. When presented with a logical puzzle or an ambiguous business case, do not rush to an answer. Outline your assumptions, break the problem into smaller components, and walk the interviewer through your logic step-by-step.

Adtech Domain Awareness – While prior adtech experience is not always a strict requirement, showing familiarity with industry-standard metrics (such as CPM, CTR, CPA, fill rates, and programmatic auctions) will immediately set you apart. Understand how Connected TV (CTV) differs from traditional digital advertising.

Communication & Collaboration – As a Business Analyst, you must translate complex data insights into clear business recommendations. Focus on demonstrating that you can communicate effectively with both technical engineers and commercial sales teams.

The interview process at Lg Ad Solutions is designed to thoroughly evaluate your analytical capabilities, technical skills, and cultural fit. Candidates can expect a structured journey that typically spans 3 to 5 rounds, depending on the seniority of the role and the location. The process is known for being rigorous, with a strong emphasis on live technical evaluation and logical problem-solving.

The journey usually begins with a standard recruiter screen to discuss your background and interest in the company. Following this, candidates often receive a take-home project or are scheduled for an intensive second-round screening. This second round is highly comprehensive, often combining a resume deep dive, logical puzzles, a business case study, and a live SQL screening. Succeeding rounds delve deeper into technical execution, statistics, and behavioral alignment with the team.

The timeline above outlines the typical progression of stages for the Business Analyst loop. Candidates should use this visualization to pace their preparation, ensuring they allocate ample time to practice live coding and logic puzzles before their technical rounds. While some stages may run concurrently depending on the hiring team's urgency, the emphasis on technical and logical vetting remains consistent.

To succeed at Lg Ad Solutions, you must understand exactly what is being evaluated in each core competency area. The interviewers look for a balance of hard technical execution and structured logical thinking.

SQL & Python Proficiency

Data retrieval is the foundation of the Business Analyst role. Interviewers will test your ability to query large datasets efficiently and write clean, bug-free code under pressure.

Be ready to go over:

• Complex Joins & Aggregations – Understanding when to use left, right, inner, or outer joins, and how to aggregate data across multiple dimensions.
• Window Functions – Using functions like ROW_NUMBER(), LEAD(), LAG(), and SUM() OVER() to analyze sequential user behavior or campaign trends.
• Python Data Libraries – Using Pandas and NumPy for data cleaning, transformation, and basic statistical analysis.

Example scenarios:

• Writing raw SQL queries in a non-IDE environment, such as a shared Word document or a physical whiteboard, to evaluate your syntax recall and logic.
• Transforming a messy, unformatted campaign dataset in Python to make it ready for visualization.

Logical Puzzles & Brainteasers

Lg Ad Solutions frequently uses brainteasers to evaluate how candidates handle unfamiliar, high-pressure analytical situations. They want to see if you panic or if you systematically break down the problem.

Be ready to go over:

• Probability & Combinatorics – Basic probability concepts, coin toss scenarios, and card arrangement problems.
• Estimation & Guesstimates – Structuring market-sizing questions using logical assumptions and top-down or bottom-up frameworks.
• Logical Deduction – Classic riddles that require isolating variables and testing hypotheses systematically.

Example scenarios:

• Solving the "8 balls, 1 heavier" puzzle on a whiteboard while explaining your step-by-step elimination strategy.
• Estimating the annual ad revenue generated by smart TVs in a specific country.

Business Case Analysis

In this area, interviewers evaluate your commercial intuition and your ability to apply data analysis to real-world business challenges in the advertising space.

Be ready to go over:

• Adtech Metrics – Analyzing key performance indicators like Cost Per Mille (CPM), Click-Through Rate (CTR), conversion rates, and return on ad spend (ROAS).
• Root Cause Analysis – Systematically diagnosing unexpected drops in performance, revenue, or user engagement.
• A/B Testing & Experimentation – Designing statistically sound experiments to test new features or ad placements.

Example scenarios:

• Investigating why a major advertiser's campaign fill rate dropped significantly over a weekend.
• Recommending a pricing strategy for a new premium ad placement on the LG CTV home screen.