Prepare for and practice interview questions from Nam Info Inc.

Nam Info Inc Interview Questions

Nam Info Inc Interview Guides

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Statistics

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

A/B Testing & Experimentation

Nam Info Inc Salaries by Position

Greetings from NAM Info Inc!!! Please go through the job description. If you are interested in this opportunity, directly share your email with the following information to praveen@nam-it.com:<ul><li>Your Full Name (as in PAN):</li><li>Expected CTC:</li><li>Present CTC:</li><li>Notice Period (Last Working Day):</li><li>Current Location:</li><li>Preferred Location:</li></ul> Hiring For: Workday Data Analyst and Data ConversionLocation: Bengaluru/ Chennai/ HyderabadExperience: 5+ Years Desired Competencies (Technical/Behavioral Competency)Must-Have<ul><li>Bachelor’s degree in Information Systems, Data Analytics, Finance, or related field.</li><li>5 years of experience working with Workday Finance or other modules (reporting, analytics, or data management). Strong knowledge of Workday Reporting (Advanced, Matrix, Composite, Prism Analytics).</li><li>Hands-on experience with EIBs, calculated fields, and business process configuration.</li><li>Proficiency in Excel, SQL, or other data analysis tools is a plus.</li><li>Strong analytical skills with the ability to interpret data and provide actionable insights.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, dynamic environment.</li><li>Data analysis, Data preparation and formatting, Data load execution (EIB/iLoad), Data migration, end to end data conversion, reporting and metrics validation</li></ul> Good-to-Have<ul><li>Workday Prism Analytics experience.</li><li>Knowledge of data visualization tools (e.g., Tableau, Power BI).</li><li>Familiarity with HR, Finance, or Payroll processes.</li><li>Experience in Workday implementations or upgrades</li><li>Certified in Workday Modules</li></ul> Role Descriptions / Expectations from the Role <ul><li>Develop, maintain, and optimize Workday reports, dashboards, and calculated fields across Finance and other modules.</li><li>Partner with HR, Finance, and IT teams to analyze business requirements and translate them into effective reporting solutions.</li><li>Perform data validation, data audits, and reconciliations to ensure accuracy, compliance, and consistency.</li><li>Manage data uploads, mass changes, and EIBs (Enterprise Interface Builder) as required.</li><li>Support Workday data integrations with other enterprise systems by analyzing requirements and monitoring data flows.</li><li>Ensure compliance with data governance, privacy, and security policies.</li><li>Provide ad hoc analysis and insights to leadership teams to support workforce planning, financial forecasting, and other business initiatives.</li><li>Collaborate with cross-functional teams to drive process improvements and automation within Workday.</li><li>Troubleshoot reporting and data issues, providing timely resolutions.</li></ul> Regards, PraveenStaffing Executive NAM Info Pvt Ltd,Email: praveen@nam-it.comWebsite - <a>www.nam-it.com</a>

Hi , Hope you are doing well. Please find the below Job description. IF this is of your interest kindly share the resume along with contact details and the current CTC and expected CTC and send it to manju@nam-it.com Note : Immediate Joiners and Onsite all 5 days is a mustRole : AWS Data Engineer with Snowflake,Spark and Medallion ArchitectureLocation : Banashankari 2nd Stage Bengaluru ( All 5 Days Onsite)Duration : FTE with NAM INFO About NAMNAM Info is an IT application and implementation services entity having its US HQ in Cranbury, New Jersy and Development centers HQ in Bangalore in India. NAM’s distinctive service line offerings include Professional Services, Managed Services – re-engineering, modernization largely involving emerging technology. NAM is also home to a next-generation Data Intelligence Platform that enables enterprises to automate and accelerate their journey from data to insights. Our platform simplifies and unifies data engineering, governance, and analytics—empowering organizations to achieve end-to-end data intelligence at scale. As we expand our product capabilities, we are seeking a Data Product Tester to help ensure that the Inferyx platform delivers world-class performance, accuracy, and reliability. About the RoleAs a data engineer you will be responsible for building and maintaining data pipelines and systems to collect, store, and process data for analysis. Key responsibilities include designing infrastructure, building analytical tools, ensuring data quality and security, and collaborating with data scientists and analysts to make data ready for use. Job Description:Key Responsibilities· Design, develop, and maintain ETL/ELT pipelines using AWS services and Snowflake.· Build scalable and efficient data architectures to support analytics, reporting, and data science use cases.· Perform data modeling (conceptual, logical, and physical) to optimize Snowflake warehouse performance.· Implement best practices for data ingestion, transformation, and storage.· Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.· Monitor, optimize, and troubleshoot Snowflake performance, query tuning, and cost optimization.· Ensure data quality, governance, and security in line with enterprise standards.· Automate workflows using orchestration tools (e.g., Airflow, AWS Step Functions, or Glue workflows).· Stay current with emerging cloud data technologies and recommend improvements. Required Skills & Qualifications· Bachelor’s or Master’s degree in computer science, Information Systems, or related field.· 3–5 years of relevant experience in data engineering with a focus on cloud platforms.· Strong hands-on expertise in Snowflake (schema design, data sharing, clustering, query optimization).· Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Kinesis, Step Functions, and IAM.· Solid understanding of data modeling techniques (3NF, Star Schema, Snowflake Schema, Data Vault).· Strong experience with SQL and at least one programming language (Python/Scala/Java).· Experience with ETL/ELT tools (dbt, Informatica, Talend, or equivalent).· Knowledge of data security, governance, and compliance best practices.· Familiarity with CI/CD, version control (Git), and DevOps practices for data engineering. Preferred Qualifications:· Overall Experience: 7 – 8 years, recent 5 years as Senior DE.· Strong hands-on UNIX/Shell scripting experience not just basic commands but comfort working directly on servers, SSHing into clusters, handling file operations, and executing CLI-based workflows.· Deep expertise in AWS data services (S3, Glue, Lambda, EC2) integrated with Snowflake or Databricks for data lake development.· Solid ETL/ELT design background with Python, PySpark, and SQL for transformation and pipeline orchestration.· Familiarity with version control (GitHub) and automation tools like Jenkins or AWS-native CI/CD pipelines.· Preferably exposure to Kafka, Airflow, and data governance practices. What We Offer<ul><li>Opportunity to work on cutting-edge Data Intelligence Platform redefining enterprise analytics.</li><li>Dynamic and collaborative work culture at Inferyx’s Pune office.</li><li>Competitive salary and performance-based growth opportunities.</li><li>Exposure to the complete data ecosystem—from ingestion to analytics to AI-driven insights.</li><li>A chance to directly influence the evolution of a high-impact enterprise data product.</li></ul> Why NAMAt NAM, you’ll be part of a global, innovation-driven organization that operates at the intersection of Data, Cloud, and Automation.What makes NAM different:<ul><li>???? Enterprise Data Expertise – Work on AWS-based Data Lake and Lakehouse projects that use the latest frameworks like Glue, Spark, and Iceberg.</li><li>☁️ Advanced Cloud DevOps – Manage complex, high-volume production data environments and drive continuous improvement in reliability and automation.</li><li>???? Cutting-Edge Innovation – Be part of NAM’s Inferyx platform development, helping clients accelerate their data-to-insights transformation.</li><li>???? Collaborative, Global Culture – Partner with cross-functional teams and clients across geographies in a dynamic, learning-focused environment.</li><li>???? Career Growth – Gain hands-on experience in DataOps, CloudOps, and DevSecOps, with opportunities for AWS and Kubernetes certifications and leadership development.</li></ul> ManjunathStaffing ManagerNAM Info Pvt Ltd,29/2B-01, 1st Floor, K.R. Road, Banashankari 2nd Stage, Bangalore - 560070.+91 9148218735 / manju@nam-it.com Linkedin : <a>(99+) M.S.Manju nath | LinkedIn</a>Website: <a>WWW.NAM-IT.COM</a>USA | CANADA | INDIAMBE Certified Company , E Verify Company

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Experiment Validity	A/B Testing & Experimentation	Medium	Very High

Nam Info Inc Interview Questions

Nam Info Inc Interview Guides

Nam Info Inc Interview Questions

Nam Info Inc Salaries by Position

Nam Info Inc Opening Jobs