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Quinte Financial Technologies Data Analyst Interview Questions and Answers
Quinte Financial Technologies Data Analyst Interview Experiences
4 interviews found
Anonymous
Selected
I appeared for an interview before Feb 2024.
SQL round, asked easy and medium level leet code questions.
Python round from leet code. Copy and paste.
(1 Question)
- Q1. Tableau related questions. Advance level
(1 Question)
- Q1. Asked about Projects and tableau online profile. Asked me to create an emi calculator using python.
(1 Question)
- Q1. Salary discussion round
(1 Question)
- Q1. This one with the reporting manager asked me about Projects and industrial experience.
Interview Preparation Tips
Selected
I applied via Referral and was interviewed in Sep 2023. There were 4 interview rounds.
2 SQL Leet code challenge questions and 1 Python program.
(3 Questions)
- Q1. Basics of SQL, Python and Tableau
- Q2. How to select consecutive data from a column
- Ans.
Use SQL query with window functions like ROW_NUMBER() to select consecutive data from a column
Use ROW_NUMBER() to assign a unique number to each row based on a specific order
Use a self join or subquery to compare the row numbers of consecutive rows
Filter the rows where the row numbers are consecutive to select the consecutive data
- Q3. Write a select query to find highest unique number in a column
- Ans.
Use a subquery to find the highest number that appears only once in a column
Use a subquery to filter out numbers that appear more than once
Order the results in descending order and select the top 1
(2 Questions)
- Q1. About previous experiences
- Q2. About previous projects
Interview Preparation Tips
- SQL Server
- Tableau
- Python
- Data Analytics
Prepare minimum 5 Tableau Viz in tableau public.
Skills evaluated in this interview
Selected
I appeared for an interview before Apr 2024, where I was asked the following questions.
- Q1. What is Acid? Explain in T sql
- Ans.
ACID is a set of properties ensuring reliable transactions in database systems, crucial for data integrity.
Atomicity: Ensures that all operations in a transaction are completed; if one fails, the entire transaction fails. Example: Inserting a record into two tables.
Consistency: Guarantees that a transaction brings the database from one valid state to another. Example: Transferring funds between accounts must maintain t...
- Q2. What is different between reports and dashboard
- Ans.
Reports provide detailed data analysis, while dashboards offer real-time visual summaries for quick insights.
Reports are static documents, often generated periodically (e.g., monthly sales report).
Dashboards are dynamic and interactive, displaying real-time data (e.g., sales performance dashboard).
Reports focus on in-depth analysis and historical data, while dashboards emphasize current metrics and trends.
Reports may i...
Ravalee Kanthi Ravuri
I applied via Approached by Company and was interviewed in Apr 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Examples of SQL joins
- Q2. Difference between blend and join in Tableau
- Ans.
Blend combines data from different data sources while Join combines data from the same data source.
Blend is used when data sources have different levels of detail.
Join is used when data sources have the same level of detail.
Blend creates a new virtual table while Join adds columns to an existing table.
Example of Blend: Combining sales data from Excel and customer data from Salesforce.
Example of Join: Combining sales da...
- Q3. DIfference between Live data and extract data in Tableau
Interview Preparation Tips
Skills evaluated in this interview
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Interview Questionnaire
4 Questions
- Q1. Why we hair you
- Q2. How much salary u can expect
- Q3. Know about your self
- Q4. What is your strength
- Ans.
My strength lies in my analytical skills, attention to detail, and ability to derive actionable insights from complex data sets.
Strong proficiency in data visualization tools like Tableau and Power BI, which I used to create dashboards for tracking KPIs.
Experience with statistical analysis using Python and R, where I conducted A/B testing to optimize marketing strategies.
Excellent problem-solving skills demonstrated by...
Interview Questionnaire
2 Questions
- Q1. Education
- Q2. Work experience
Selected
I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.
Based on my CV, they assigned me a task related to data migration.
(2 Questions)
- Q1. Project reviews
- Q2. Attendance regarding
I applied via Naukri.com and was interviewed in Aug 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. System knowledge
Interview Preparation Tips
Selected
I appeared for an interview in May 2025, where I was asked the following questions.
- Q1. How would you handle missing dataduring analysis?
- Ans.
Handling missing data involves identifying, assessing, and applying appropriate techniques to manage gaps in datasets.
Identify missing data: Use methods like 'isnull()' in Python to find missing values.
Assess the impact: Determine how missing data affects your analysis and results.
Imputation: Replace missing values with mean, median, or mode. For example, use the median for skewed distributions.
Remove missing data: If ...
- Q2. Explain the difference inner join and left join in SQL ? and example
- Ans.
Inner join returns matching records from both tables, while left join returns all records from the left table and matching from the right.
Inner Join: Combines rows from two tables where there is a match in both tables.
Left Join: Returns all rows from the left table and matched rows from the right table; unmatched rows from the right will show NULL.
Example of Inner Join: SELECT * FROM TableA INNER JOIN TableB ON TableA....
- Q3. Which visualisation have tools used and how do you decide which chart to used for a given dataset?
- Ans.
Choosing the right visualization depends on data type, audience, and insights needed.
Use bar charts for categorical comparisons (e.g., sales by region).
Line charts are ideal for trends over time (e.g., monthly revenue).
Pie charts can show proportions but are less effective for many categories.
Scatter plots help identify relationships between two variables (e.g., age vs. income).
Heatmaps visualize data density or correl...
Interview Questionnaire
1 Question
- Q1. Situation based question on experience
Interview Preparation Tips
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