3. Getting Ready for Your Interviews

Success at Unisys requires a balanced approach. You must demonstrate that you have the technical horsepower to handle the data and the professional maturity to integrate into a structured, global organization.

Technical Proficiency – You must be fluent in the tools of the trade, including SQL, Excel, and common BI platforms. Expect to be tested on your ability to extract, manipulate, and interpret data to solve real-world marketing problems.

Analytical Communication – It is not enough to find the answer; you must be able to sell the insight. You will be evaluated on your ability to distill complex findings into clear, concise, and actionable recommendations for management.

Process Orientation – Unisys values organized, methodical approaches. Your interviewers will look for evidence that you follow best practices in data governance, project management, and cross-team collaboration.

4. Interview Process Overview

The interview process at Unisys for this role is comprehensive and structured, typically spanning about a month. You can expect a professional, well-organized sequence that begins with a recruiter screen to assess your background and interest. Following this, you will move through a series of interviews with both direct and indirect reporting lines.

The process is designed to evaluate both your technical skills and your cultural alignment with the organization. Whether conducted remotely via Teams or in-person, the interviews are known for being thorough and consistent, with clear expectations provided by the recruiting team at each stage.

This timeline illustrates the progression from initial screening to final-stage interviews. Use this structure to pace your preparation, ensuring you have enough time to brush up on both technical fundamentals and behavioral case studies before the later, more senior-level interviews.

5. Deep Dive into Evaluation Areas

Data Manipulation and SQL

You will be evaluated on your ability to handle real-world data at scale. Strong candidates demonstrate not just SQL proficiency, but an understanding of data architecture and the ability to optimize queries for performance.

Be ready to go over:

• Joins, window functions, and complex aggregations.
• Data cleaning techniques and handling nulls/outliers.
• Query optimization and performance tuning.

Example scenarios:

• "How would you join these three tables to identify campaign conversion rates?"
• "What steps do you take when your data source is inconsistent or missing key fields?"

Marketing Attribution and Strategy

This area tests your understanding of the marketing funnel. You need to demonstrate how you measure success across various channels—email, social, web, and events.

Be ready to go over:

• Multi-touch attribution models.
• KPI selection and alignment with business objectives.
• Customer journey mapping and pain-point identification.

Example scenarios:

• "How do you measure the impact of a brand awareness campaign versus a lead-gen campaign?"
• "If a campaign is underperforming, how do you diagnose the root cause using data?"