Example questions or scenarios:

• "How does brand suitability differ from brand safety, and why does this distinction matter to a major advertiser?"
• "What are the primary differences between planning a campaign for linear television versus Connected TV (CTV)?"

Client-Facing Communication and Storytelling

Your technical findings are only valuable if stakeholders can understand and act on them. This area tests your ability to communicate complex ideas simply.

Be ready to go over:

• Insight Synthesis – Condensing a large report into three or four high-impact takeaways.
• Stakeholder Management – Handling questions or pushback from clients or internal sales teams regarding data findings.
• Data Storytelling – Structuring a presentation narrative so that it flows logically from the business problem to the data-backed solution.

Example questions or scenarios:

• "Explain the concept of programmatic ad buying to someone who has never worked in digital marketing."
• "How would you handle a situation where your data analysis disproves a strategy that the client was highly confident in?"

As a Research Analyst at Pixability, your day-to-day work will be dynamic, analytical, and highly collaborative. You will act as a bridge between complex data repositories and the teams that need that data to make strategic decisions.

Your primary responsibility will be executing data analyses that support both pre-campaign planning and post-campaign reporting. This involves querying databases, analyzing performance trends, and synthesizing your findings into client-ready presentations and reports. You will help clients understand who their audience is, where their ads are running, and how they can get better returns on their advertising spend.

In addition to client-specific work, you will contribute to Pixability's thought leadership. This includes analyzing macro-level trends across the video advertising industry to produce insights that can be shared publicly or used by the sales team to attract new business. You will also collaborate with the product team, providing feedback on how internal data tools can be improved to make analysis more efficient and impactful.

To be competitive for the Research Analyst position, you should possess a strong foundation in data analysis, a keen interest in digital media, and excellent communication skills.

• Technical skills – Proficiency in Microsoft Excel (advanced formulas, pivot tables, data modeling) is essential. Familiarity with SQL for querying databases, data visualization tools (like Tableau or Looker Studio), and basic statistical concepts is highly beneficial.
• Experience level – Typically, candidates should have 1–3 years of experience in an analytical role, preferably within digital advertising, media planning, or market research.
• Soft skills – Strong written and verbal communication, attention to detail, a proactive problem-solving mindset, and the ability to work collaboratively in a team environment.

Must-have skills

• Advanced proficiency in Excel for data manipulation and analysis.
• Strong understanding of digital marketing metrics and the digital media ecosystem.
• Proven ability to translate raw data into clear, written summaries and visual presentations.

Nice-to-have skills

• Experience writing SQL queries to extract data from relational databases.
• Google Ads or YouTube certifications.
• Prior experience working in the ad tech or programmatic advertising space.

Q: How technical is the interview process for the Research Analyst role? The process focuses heavily on your analytical thinking and data interpretation skills rather than advanced programming. You should expect to demonstrate strong Excel skills and a solid understanding of how to structure and analyze datasets to solve business problems.

Q: What differentiates successful candidates in this process? Successful candidates are those who do not just present numbers, but explain the "why" behind them. Demonstrating a genuine curiosity about video advertising trends and showing that you can communicate your findings clearly to non-technical stakeholders will set you apart.

Q: What is the typical timeline from the initial screen to an offer? While the timeline can vary depending on candidate availability and hiring needs, Pixability is known for its responsive recruiting team. The process typically moves efficiently over the course of a few weeks, with clear communication at each stage.

Q: Is there opportunities for growth within the research and analytics team? Yes. Pixability values internal development and career progression. As you master the core responsibilities of the analyst role, there are opportunities to take on more complex strategic projects, lead client presentations, and contribute to product development initiatives.

To maximize your chances of success during the Pixability interview process, keep these practical tips in mind:

• Understand the Core Business: Before your interview, make sure you thoroughly understand Pixability's unique value proposition. Familiarize yourself with their focus on YouTube and Connected TV, and how they help brands achieve brand suitability and performance.
• Structure Your Answers: When answering behavioral and case questions, use a structured framework like the STAR method (Situation, Task, Action, Result). This keeps your answers concise and ensures you highlight your specific contributions.

• Brush Up on Ad Tech Terminology: Spend some time reviewing common industry terms such as programmatic bidding, DSPs, SSPs, brand safety, and audience targeting. Speaking the language of ad tech will show that you can hit the ground running.
• Highlight Your Curiosity: Pixability values continuous learning. Don't be afraid to mention industry blogs, newsletters, or reports you follow to stay up-to-date on digital media trends.

The Research Analyst role at Pixability is an exceptional opportunity for an analytically-minded professional to make a tangible impact in the fast-growing video advertising and Connected TV sectors. By translating vast amounts of platform data into strategic, actionable insights, you will play a key role in helping some of the world's biggest brands optimize their digital presence.

To prepare effectively, focus your efforts on mastering key digital marketing metrics, refining your data storytelling abilities, and understanding the core mechanics of the YouTube and CTV advertising landscapes. Remember to approach the interview with the same structured, logical, and curious mindset that you would bring to a complex research project on the job.

The salary data above provides context on the competitive compensation package offered for this position. When preparing for offer discussions, consider how your specific technical skills, industry experience, and interview performance align with these ranges. For additional insights, practice questions, and community feedback from real candidates who have gone through the process, be sure to explore the resources available on Dataford.