Gen Business Intelligence Analyst Interview Questions and Answers

Yes, aggregate functions can be used with HAVING and WHERE clauses. WHERE filters rows before grouping, HAVING filters groups after grouping.

• Aggregate functions can be used with HAVING clause to filter groups based on the result of the aggregate function.

• Aggregate functions can also be used with WHERE clause to filter rows before grouping.

• WHERE clause filters rows before grouping, while HAVING clause filters groups aft...read more

The order of execution of a SQL query is: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.

• FROM: Specifies the tables involved in the query

• WHERE: Filters the rows based on specified conditions

• GROUP BY: Groups the rows that have the same values into summary rows

• HAVING: Filters the groups based on specified conditions

• SELECT: Selects the columns to be displayed in the result set

• ORDER BY: Sorts the result set based on speci

User Defined Functions, Stored Procedures, and Triggers are database objects used to perform specific tasks in database management systems.

• User Defined Functions are custom functions created by users to perform specific calculations or operations in a database.

• Stored Procedures are precompiled SQL statements that can be executed by calling the procedure name.

• Triggers are special types of stored procedures that are auto...read more

Scrum ceremonies are regular meetings held in Agile project management to facilitate communication and collaboration among team members.

• Sprint Planning: Setting goals and planning tasks for the upcoming sprint.

• Daily Stand-up: Short daily meetings to discuss progress, roadblocks, and plans for the day.

• Sprint Review: Demo of completed work to stakeholders for feedback.

• Sprint Retrospective: Reflection on what went well, w...read more

A sprint is a time-boxed period during which a specific amount of work must be completed.

• Sprints are typically 2-4 weeks long in Agile methodology

• At the beginning of a sprint, the team plans the work to be done and commits to completing it by the end of the sprint

• Sprints end with a review and retrospective to discuss what went well and what could be improved for the next sprint

Story points are estimates used in Agile methodology to measure the complexity and effort required for a task.

• Story points are typically assigned based on the perceived complexity, risk, and effort involved in a user story or task.

• They are not based on time, but rather on relative sizing compared to other tasks.

• Common scales for story points include Fibonacci sequence (1, 2, 3, 5, 8, 13, etc.) or t-shirt sizes (XS, S, ...read more

Product management focuses on the development and marketing of a specific product, while project management involves overseeing a specific project from start to finish.

• Product management is focused on the entire lifecycle of a product, from ideation to launch and beyond.

• Project management is focused on the successful completion of a specific project within a set timeframe and budget.

• Product managers work closely with c...read more

JSP (JavaServer Pages) is a technology used to create dynamic web pages by embedding Java code in HTML.

• JSP allows for the separation of dynamic content from the presentation layer

• JSP files have a .jsp extension and are compiled into servlets by the server

• JSP can be used to create dynamic web applications with Java functionality

As a Data Analyst, my roles and responsibilities include analyzing data, creating reports, identifying trends, and providing insights to support decision-making.

• Analyzing large datasets to extract meaningful insights

• Creating reports and visualizations to communicate findings

• Identifying trends and patterns in data

• Collaborating with stakeholders to understand business needs

• Providing recommendations based on data analysis

• ...read more

In the next 4 years, I see myself advancing my skills in data analysis, taking on more responsibilities, and potentially moving into a leadership role.

• Continuing to improve my data analysis skills through training and hands-on experience

• Taking on more complex projects and responsibilities within the data analysis field

• Possibly transitioning into a leadership role where I can mentor and guide junior analysts

• Exploring op...read more

I am a data analyst with a background in statistics and programming, passionate about uncovering insights from data.

• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving skills

• Ability to communicate complex data findings to non-technical stakeholders

I have 5 years of experience working as a Data Analyst in various industries.

• 5 years of experience as a Data Analyst

• Worked in multiple industries such as finance, healthcare, and technology

• Proficient in data analysis tools and techniques

• Experience in handling large datasets and generating insights

• Strong problem-solving and communication skills