Data Analyst & Business Analyst Interview Course

Nail the Data Analyst & Business Analyst Interview

Designed and taught by FAANG+ experts, this course will give you a foolproof preparation strategy to crack the toughest interviews at FAANG and Tier-1 companies.

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Meet your Instructors

Start Learning

Get all the information about the course and pricing in our live webinar with Q&A.

Students who chose to uplevel with IK got placed at

Mike Kane

Lead Data Engineer, Analytics

Akshay Lodha

Data Engineering & Analytics

Jaime Lichauco

Database Engineer

Anju Mercian

Data Engineering Consultant

Alokkumar Roy

Data Engineer

Sayan Banerjee

Data Scientist II

Siva Karthik Gade

Software Development Engineer

Sai Marapa Reddy

SWE, Machine Learning

Safir Merchant

SWE, Machine Learning

21,000+

Tech professionals trained

$1.28M

Highest offer received by an IK alum

53%

Average salary hike received by alums

Best suited for

Why choose this course?

Program designed by FAANG+ leads

Covering data structures, algorithms, interview-relevant topics, and career coaching

Individualized teaching and 1:1 help

Technical coaching, homework assistance, solutions discussion, and individual session

Mock interviews with Silicon Valley engineers

Live interview practice in real-life simulated environments with FAANG and top-tier interviewers

Personalized feedback

Constructive, structured, and actionable insights for improved interview performance

Career skills development

Resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops

50% Money-Back Guarantee*

If you do well in our course but still don't land a domain-relevant job within the post-program support period, we'll refund 50% of the tuition you paid for the course.*

Next webinar starts in

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Meet your instructors

Our highly experienced instructors are active hiring managers and employees at FAANG+ companies and know exactly what it takes to ace tech and managerial interviews.

Jacob Markus

Capital Strategy Manager

8+ years experience

A typical week at Interview Kickstart

This is how our structured and organized program assists learners in uplevel their careers while keeping their current jobs. Our learners devote 10 to 12 hours per week to this course.

Thu

Foundation content

Get high-quality videos and course material for next week’s topic

Consists of fundamentals, interview-relevant topics, and case studies

Assignment review session

Solve questions and case studies based on the assignment shared with you

Sun

Online live sessions

Attend 4-hour sessions with a FAANG+ instructor

Discuss open-ended questions and problem-solving strategies

Get pro tips to solve challenging interview problems

Mon-Wed

Practice problems & assignments

Solve case-study-based assignments on the topic

Live doubt-solving sessions with FAANG+ instructors

Every day

1:1 access to instructors

Personalized coaching from FAANG+ BIAs

Individualized and detailed attention to your questions

Data Analyst & Business Analyst Interview Course Curriculum

Coding

SQL

Basic query
Joins, unions
Aggregate functions, window functions
Subqueries/table creation
Case statements, regex
Group by
Data validation
Best practices for large datasets
SQL practice questions

Coding for Analyst - Part 1

Overview of Python
Data Types
Lambda Functions
Use of Python with SQL

Coding for Analyst - Part 2

How to use libraries; NumPy, Pandas
How to clean data
Overview of Regex
Conduct EDA in Python
Business Case Study with a dataset
Visualization in Python

Data Analytics & Business Analytics Concepts

Probability and Statistics

Basic Probability Rules
Conditional Probability
Building a Distribution
Review of Distributions (Normal, Binomial,xponential, Bernoulli, Poisson)

Data Analytics & Business Analytics

Defining metrics
Hypothesis testing, p-value, statistical significance, confidence intervals
Regression (linear & multiple, introduction to logistic, lasso, ridge)
Parametric Testing: Chi-Square, T-Test, ANOVA
Non-parametric data/testing: Alternative metrics, sign test, Wilcoxon rank sum test
Normalizing data, handling outliers
A/B testing
Case study with a business problem

Understanding Business Needs and Decision-Making

Understanding your stakeholders
Scope and Practicality of Business Problems
Project scoping document (question, impact, timeline, potential roadblocks)
Threshold of Significance, Assessing Impact, Change behaviors
Necessary requirements/completion
Data Analyst & Business Analyst Toolkit

Visualization Tools (Tableau)

Introduction to Tableau
Connecting and loading data
Visualization techniques
Designing dashboard
Storytelling

Advanced Data & Business Analytics

Introduction to Machine Learning: Supervised, Unsupervised, Reinforcement
Naive Bayes, Logistic Regression, SVM, Decision Trees, Random Forest
Bagging, Boosting
Neural Networks (ANN, CNN, and RNN)

Application (Case Studies)

Best practices while solving Case Studies in interviews
Case Study 1: Trends/Finance
Case Study 2: Product Analysis
Case Study 3: Business Strategy
Metric definition, ROI, return per unit of investment
Growth potential assessment
Opportunity cost

System Design

Data Platform and Architecture

Data Warehousing, Data Lake, Unified Data Model (UDM)
Database Schemas Design
Data Governance

Data Pipeline

Data Pipelines vs. ETL
Data Collection: Ingestion, Processing, Batching, Validation, Analysis, etc.

Career Skills

Interview Strategy and Success

Behavioral Interview Prep

Offers and Negotiation

Support Period

15 mock interviews

Take classes you missed/retake classes/tests

1:1 technical/career coaching

Interview strategy and salary negotiation support

Next webinar starts in

00 DAYS

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Practice and track progress on UpLevel

UpLevel will be your all-in-one learning platform to get you FAANG-ready, with 10,000+ interview questions, timed tests, videos, mock interviews suite, and more.

Mock interviews suite

On-demand timed tests

In-browser online judge

10,000 interview questions

100,000 hours of video explanations

Class schedules & activity alerts

Real-time progress update

11 programming languages

Get upto 15 mock interviews with

hiring managers

What makes our mock interviews the best:

Hiring managers from Tier-1 companies like Google & Apple

Interview with the best. No one will prepare you better!

Domain-specific Interviews

Practice for your target domain - Advanced Data & Business Analytics

Detailed personalized feedback

Identify and work on your improvement areas

Transparent, non-anonymous interviews

Get the most realistic experience possible

More about mock interviews

1. Flexible schedule

Pick timings convenient to you

4. Technical and behavioral interviews

Uplevel your technical and behavioral interview skills

2. Remote interview experience

Mirrors the current format of remote interviews

5. Level-specific interviews

Because an L4 at Google can be quite different from an E7 at Meta

3. Feedback documentation

All the feedback you’ve ever wanted, recorded and documented

6. Interviewer of your choice

Choose based on company and/or domain

Career impact

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Akshay Lodha

Data Engineering & Analytics

Placed at:

The experience with IK was phenomenal, it was totally worth it. After so many years I was interviewing and IK helped me a lot in orienting myself and to get into the rhythm. Had a transition from Goldman Sachs to Facebook. IK mentors guided me and told me not to worry about the preparation part and to focus on upskilling myself. That really made a huge difference.

Sayan Banerjee

Data Scientist II

Placed at:

Interview Kickstart has a very nice community. Everybody is very knowledgeable. Omkar is amazing. The way that he explains things is so great that it also taught me how to explain steps in problem solving well. Interview Kickstart's way of identifying patterns in a problem is the most effective part for me. Lastly, with the community, it enabled me to have a network of people that I can see different perspectives, and approaches to reaching solutions.

Siva Karthik Gade

Software Development Engineer

Placed at:

IK offers high-quality study material, knowledgeable and patient instructors working at industry-leading companies, well-paced live classes + tests + review sessions, always available technical + career coaches, mock interview support from the best interviewers in the respective fields. IK brings together people with same the ambition (on their platform, UPLEVEL) to guide and inspire each other

Sai MarapaReddy

Software Engineer

Placed at:

I completed IK’s program and got offers from a couple of FAANG companies. Why you should take this course: It is well tested and the focus is more on the concepts/templates rather than approaching one problem at a time. You will meet peers who have similar aspirations. You can make groups and help yourselves.

Safir Merchant

Machine Learning Software Engineer

Placed at:

I liked the course that IK provided a lot. IK provided all the knowledge on a variety of topics that helped me prepare for coding interviews. The mock interviews were really great. Landing a job at my desired company has been a great pleasure.

How to enroll in the Data Analyst & Business Analyst Interview Course?

Learn more about Interview Kickstart and the Data Analyst & Business Analyst course by joining the free webinar hosted by Ryan Valles, co-founder of Interview Kickstart.

Next webinar starts in

00 DAYS

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A Free Guide to Kickstart your Data Analyst & Business Analyst career at FAANG+

From the interview process and career path to interview questions and salary details — learn everything you need to know about Business Intelligence Analyst careers at top tech companies.

Interview Strategy and Success

Interview Questions

Career Path

Salary and Levels at FAANG

Frequently Asked Questions

What to Expect at Data Analyst/Business Analyst Interviews

While the interview process may vary from company to company, you can expect the following broad categories of rounds at Data Analyst/Business Analyst Interviews at FAANG and other Tier-1 companies.

Initial Screening Rounds:

1st Round: Technical Round
SQL Questions: Design some schema, create pipelines
Designing a Dashboard: Metrics, Business Question
2nd Round: Business Acumen

On-site Rounds:

3rd Round: A case study — different scenarios, identifying the root cause, A/B testing
4th Round: SQL query
5th Round: Behavioral round (around leadership principles)
6th Round: With the Hiring Manager, where you can expect questions on case studies/business problems (Revenue is declining, how would you investigate that? How to decide whether to invest in a particular product? Comparing two products.)
7th Round: With 2 senior Business Analysts/Data Analysts, where you can expect Dashboard-related questions (such as your favorite feature of Tableau) and an ML breadth round

Data Analyst/Business Analyst Interview Questions

What are the variables you would consider when you are going to predict demand for a product?

What is the difference between the left join and right join?

You need to report traffic insights for a website to the product manager. Write an SQL query to find the top 10% of people who have visited the website in the last month.

What is the difference between OLTP and OLAP?

Define or list the differences between a snowflake schema and a star schema.

What is a dashboard in a data warehouse?

Business Intelligence Analyst Interview Questions on Behavioral Skills

While working with stakeholders, how do you ensure delivery of a project? How would you communicate your results?

Tell us about a time you gave insights beyond the data.

Walk me through a big problem in your organization that you helped solve. How did you become aware of it? What info did you gather, what was missing, and how did you fill the gaps?

Data Analyst/Business Analyst Career

While preparing for the DA/BA interview, it is important to understand the career progression and roles and responsibilities of a BIA so that you can align your prep accordingly.

Data Analyst/Business Analyst: Job Roles and Responsibilities

The day-to-day responsibilities of a DA/BA can differ based on the company you work for. Here are a couple of examples:

Role of a DA/BA at Meta:

The role of a Data Analyst & Business Analyst at Meta involves pulling daily/weekly reports for the teams that you support, if it’s not already automated. Even if the reports are automated, you’d be responsible for taking the actual data and providing insights and trend analysis that teams can use to create action plans.

Here’s what the distribution of a typical day at Meta as a BIA looks like:

30% meetings with stakeholders, teams, and partners to understand problems and scope

70% technical work

20% data exploration/data cleaning/understanding and validating the data sources
60% SQL query building/dashboard building/analysis/model building
20% presentation building/visualization/presenting findings

Role of a DA/BA at Google:

30% of the time in meetings with stakeholders, sharing analysis and project updates

70% of time involved with analysis

70% technical work
60% of the time on SQL — analysis, building data set
40% of the time on Excel (sheets) — conducting analysis
Type of work:
Reporting
Revenue analysis (analyzing trends)
Business projects:
Strategic business problems (where to invest, how much headcount to have, team structure)
Product adoption/optimization

30% presenting findings — usually working with non-technical stakeholders, so the presentation of findings needs to be very strategic

Skills Required for a Career in Data Analytics/Business Analytics

SQL Programming

Visualization tools such as Tableau or Power BI

Statistical Knowledge (Hypothesis Testing, Significance Level, etc.)

MS Excel, PowerPoint

Excellent communication skills

Python (Preferred)

Career Roadmap for a Data Analyst/Business Analyst

Within a team, the career path for the Data Analyst or Business Analyst is as follows:

Data Analyst -> Data Analyst 2 -> Senior Data Analyst -> Senior Data Analyst 2 -> Team Lead/Business Strategist

Business Analyst -> Business Analyst 2 -> Senior Business Analyst -> Senior Business Analyst 2 -> Team Lead/Business Strategist

Sometimes, people switch into less technical roles such as Strategic, Consulting, or Program Management, and sometimes into more technical roles such as Product Analyst, Data Scientist, or Data Engineer.

Data Analyst/Business Analyst Salary and Levels at FAANG+ Companies

The average base salary for a Data Analyst/Business Analyst in the US is $85,690. In addition, you can expect an additional cash compensation of $5,635 per year.

Back-End Engineer at Facebook

Average compensation by level

Job Title

Average Base Salary/Year

Data/Business Analyst

$82,450

Senior Data/Business Analyst

$103,440

Lead Data/Business Analyst

$115,931

Facebook Data Analyst/Business Analyst Salary

Average compensation by level

Level name

Total

Base

Stock (/yr)

Bonus

IC3

$111K

$98K

$5K

$8K

IC4

$174K

$138K

$20K

$17K

IC5

$220K

$168K

$28K

$24K

Amazon Data Analyst/Business Analyst Salary

Average compensation by level

Level name

Total

Base

Stock (/yr)

Bonus

$99K

$81K

$10K

$8K

$136K

$110K

$18K

$8K

$205K

$140K

$44K

$21K

$319K

$161K

$123K

$35K

Microsoft Data Analyst/Business Analyst Salary

Average compensation by level

Level name

Total

Base

Stock (/yr)

Bonus

$129K

$109K

$11K

$9K

$139K

$114K

$13K

$12K

$168K

$129K

$14K

$26K

$200K

$157K

$14K

$28K

$223K

$167K

$29K

$28K

Google Data Analyst/Business Analyst Salary

Average compensation by level

Level name

Total

Base

Stock (/yr)

Bonus

$142K

$111K

$19K

$12K

$206K

$142K

$43K

$22K

$263K

$167K

$63K

$34K

Data Analyst/Business Analyst Salaries at other FAANG+ companies:

Average compensation by level

Company

Level name

Total

Base

Stock (/yr)

Bonus

Netflix

Manager

$153K

$117K

$25K

$12K

Apple

ICT3

$225K

$210K

$15K

Uber

$157K

$123K

$20K

$14K

Tesla

$110K

$90K

$20K

$161K

$130K

$20K

$11K

Source: glassdoor.com and levels.fyi

FAQs on Data Analyst & Business Analyst Course

Who is the Interview Kickstart Data Analyst & Business Analyst course best suited for?

What coding topics are essential for BA/DA/BIA interviews, and how does our program cover them?

What is the difference between the DA & BA interview course and Data Science interview courses? Which program should I choose and why?

Choose DA &BA if your work primarily involves manipulating data using SQL programming, analytics using Excel, A/B Testing to achieve deliverables, creating dashboards using Quicksight/Tableau/Power BI, and effectively communicating data-backed business-related information to stakeholders.

I do not have experience in Python. Does the Data Analyst & Business Analyst interview course cover Python basics?

How to enroll in the Data Analyst & Business Analyst Interview Course?

Learn more about Interview Kickstart and the Data Analyst & Business Analyst course by joining the free webinar hosted by Ryan Valles, co-founder of Interview Kickstart.

Nail the Data Analyst & Business Analyst Interview

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

Meet your Instructors

Start Learning

Students who chose to uplevel with IK got placed at

21,000+

Tech professionals trained

$1.28M

Highest offer received by an IK alum

53%

Average salary hike received by alums

Best suited for

Why choose this course?

Program designed by FAANG+ leads

Individualized teaching and 1:1 help

Mock interviews with Silicon Valley engineers

Personalized feedback

Career skills development

50% Money-Back Guarantee*

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

Meet your instructors

Jacob Markus

A typical week at Interview Kickstart

Thu

Sun

Mon-Wed

Every day

Data Analyst & Business Analyst Interview Course Curriculum

SQL

Coding for Analyst - Part 1

Coding for Analyst - Part 2

Probability and Statistics

Data Analytics & Business Analytics

Understanding Business Needs and Decision-Making

Visualization Tools (Tableau)

Advanced Data & Business Analytics

Application (Case Studies)

Data Platform and Architecture

Data Pipeline

Interview Strategy and Success

Behavioral Interview Prep

Offers and Negotiation

15 mock interviews

Take classes you missed/retake classes/tests

1:1 technical/career coaching

Interview strategy and salary negotiation support

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR