Be ready to go over:

• Root Cause Analysis – How to isolate variables when investigating data discrepancies or system performance drops.
• SLA Tracking – Understanding how service level agreements translate into data metrics and how to report on breaches.
• Data Quality Assessment – Identifying anomalies, duplicate records, and corrupt data points within large datasets.

Example questions or scenarios:

• "An enterprise client reports that their weekly performance dashboard is showing incorrect resolution times. Walk me through how you would audit the data pipeline to find the error."
• "You are presented with a scenario where a database query is running exceptionally slowly. What steps do you take to optimize it?"

Agile Execution & Team Collaboration

Because Unisys teams frequently work in structured agile frameworks, you will be evaluated on how well you collaborate with product owners, scrum masters, and developers.

Be ready to go over:

• Sprint Planning Integration – How you estimate the effort required for data tasks and align them with sprint goals.
• Stakeholder Communication – Managing expectations when a technical analysis requires more time than originally allocated.
• Feedback Integration – How you handle constructive criticism on your dashboards or reports from agile team members.

Example questions or scenarios:

• "The Product Owner requests a new metric on the dashboard mid-sprint, but the Scrum Master warns it might delay other deliverables. How do you negotiate a solution?"
• "Describe a time when you had to explain a complex data limitation to a project stakeholder who was demanding immediate results."

As a Data Analyst at Unisys, your daily activities will center around ensuring data integrity, building robust reporting systems, and translating raw operational metrics into strategic business insights.

• Data Extraction and Transformation – You will write complex SQL queries to extract data from various enterprise databases, data lakes, and IT service management tools. You will clean and transform this raw data to ensure it is accurate and ready for analysis.
• Dashboard Development and Maintenance – You will design, build, and maintain interactive dashboards using tools like Power BI. These dashboards will track key performance indicators (KPIs), system health metrics, and SLA compliance for both internal teams and external enterprise clients.
• Operational Performance Analysis – You will conduct deep-dive analyses to identify trends, anomalies, and areas for operational improvement within Unisys’s service delivery pipelines. Your findings will help reduce incident resolution times and improve overall service quality.
• Agile Collaboration – You will actively participate in daily stand-ups, sprint planning sessions, and retrospective meetings. You will work closely with Scrum Masters and Product Owners to ensure that your analytical deliverables align with broader project timelines and business priorities.
• Stakeholder Reporting – You will translate complex technical data into clear, concise reports and presentations for non-technical stakeholders, helping them understand operational performance and make informed business decisions.

To be competitive for the Data Analyst position at Unisys, you must possess a strong blend of technical skills, analytical capabilities, and collaborative interpersonal traits.

• Must-have technical skills – Strong proficiency in SQL (writing queries, joins, subqueries), advanced Excel capabilities (VLOOKUPs, pivot tables, data modeling), and hands-on experience with data visualization platforms (specifically Power BI or Tableau).
• Nice-to-have technical skills – Basic knowledge of programming languages like Python or R for data manipulation, familiarity with cloud platforms (Azure or AWS), and experience with IT Service Management (ITSM) tools like ServiceNow.
• Experience level – Typically, 2 to 5 years of experience in a data analysis, business intelligence, or systems analysis role. Experience working within a global IT services or consulting environment is highly valued.
• Soft skills – Excellent written and verbal communication skills, strong logical reasoning, a proactive approach to troubleshooting, and the ability to work effectively within an agile team structure.
• Language requirements – For roles based outside of English-speaking countries, professional working proficiency in English is almost always a strict requirement due to the global nature of Unisys's operations.

Q: How technical is the Data Analyst interview at Unisys? A: The interview is moderately to highly technical depending on the specific team. While you need strong SQL and visualization skills, you must also demonstrate a solid understanding of basic IT infrastructure and systems, as your analysis will frequently deal with operational and performance metrics.

Q: What should I expect from the logical and English assessments? A: These are standardized tests administered early in the process. The logical reasoning test evaluates your pattern recognition and problem-solving speed, while the English assessment ensures you can communicate effectively with global clients and distributed teams.

Q: How long does the entire hiring process typically take? A: On average, the process takes about 20 to 30 days from the initial HR contact to the final decision. However, this can vary depending on the urgency of the role and the region in which you are interviewing.

Q: Does Unisys support remote or hybrid work for Data Analysts? A: Yes, Unisys offers hybrid and remote work options for many of its analytical roles, depending on the requirements of the specific project and client engagement. This will typically be discussed during your initial HR screening.

• Prepare for Agile Scenarios: Be ready to discuss how you prioritize your work within a sprint framework. Familiarize yourself with the roles of a Scrum Master and a Product Owner, as they are often key participants in the interview process.
• Brush Up on IT Infrastructure Concepts: Since Unisys is an IT solutions company, having a basic understanding of server operations, cloud computing, and service desk metrics will give you a significant advantage over candidates with purely financial or marketing data backgrounds.
• Structure Your Answers Using STAR: When answering behavioral questions, use the Situation, Task, Action, and Result (STAR) method. Focus heavily on the Action you took and the quantifiable Result of your analysis.

• Practice Thinking Out Loud: During technical troubleshooting scenarios, the interviewer is more interested in your thought process than a perfectly correct immediate answer. Explain your assumptions, what data you would look for first, and how you would isolate the problem.

Securing a Data Analyst role at Unisys is an exceptional opportunity to advance your career within a globally recognized IT leader. The role offers a unique challenge, requiring you to apply your analytical talents to complex, enterprise-level IT systems and cloud infrastructure data. By mastering the core evaluation areas—logical reasoning, technical troubleshooting, and agile collaboration—you can set yourself apart from the competition.

As you prepare, focus your energy on solidifying your SQL fundamentals, practicing structured problem-solving, and preparing behavioral stories that highlight your ability to deliver insights in a fast-paced, collaborative environment. Consistent, focused preparation is the key to demonstrating the confidence and competence that Unisys hiring managers look for.

The salary data module above provides a representative look at the compensation structure for this role. Use this information to align your expectations and prepare for compensation discussions during your initial HR conversations. For more detailed interview insights, community reviews, and preparation resources, you can explore additional company profiles on Dataford. Good luck with your preparation—you have all the tools you need to succeed!