Interview Process for Data Analyst at Micro Focus The interview process at Micro Focus for the Data Analyst role was structured and focused on evaluating analytical thinking, SQL skills, and problem-solving ability. Online Application / Resume Shortlisting Candidates were shortlisted based on relevant skills such as SQL, Python, Excel, and data analysis experience. Online Assessment The first round consisted of an online test including: Aptitude & logical reasoning SQL queries and database concepts Basic Python for data analysis MCQs on statistics and data handling Technical Interview The technical round focused on: SQL (joins, subqueries, aggregation, window functions) Data cleaning and preprocessing techniques Python libraries (Pandas, NumPy) Basic statistics (mean, median, correlation, hypothesis testing) Discussion of projects and datasets worked on Managerial / Behavioral Interview Questions related to: Real-world data problem-solving scenarios Communication of insights Team collaboration Time management and adaptability HR Interview Discussion about compensation, location, notice period, and company policies. Overall, the process was smooth and interviewer-friendly, with a good balance of technical and behavioral assessment.