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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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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
Sayan Banerjee
Data Scientist II
Siva Karthik Gade
Software Development Engineer
Sai Marapa Reddy
SWE, Machine Learning
Safir Merchant
SWE, Machine Learning
Mike Kane
Lead Data Engineer, Analytics
Akshay Lodha
Data Engineering & Analytics
Jaime Lichauco
Database Engineer
Anju Mercian
Data Engineering Consultant
Alokkumar Roy
Data Engineer
Best suited for
Current or Former Business Analysts/Data Analysts/Product Analysts/Business Intelligence Analysts/Business Intelligence Engineers
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.*
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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
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Bharath Srikanth
Data Scientist
7+ years experience
FAANG Company
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Nick Camilleri
Head of Career Skills Devp. and Coaching
10+ years experience
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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.
Data Analyst & Business Analyst Interview Course Curriculum
Coding
3 weeks
3 live classes
1
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
2
Coding for Analyst - Part 1
- Overview of Python
- Data Types
- Functions & Dictionaries
- Lambda Functions
- Use of Python with SQL
3
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
6 weeks
6 live classes
1
Probability and Statistics
- Basic Probability Rules
- Conditional Probability
- Building a Distribution
- Review of Distributions (Normal, Binomial,xponential, Bernoulli, Poisson)
2
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
3
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
4
Visualization Tools (Tableau)
- Introduction to Tableau
- Connecting and loading data
- Visualization techniques
- Designing dashboard
- Storytelling
5
Machine Learning in Business Applications
- Overview of ML Models and business considerations
- Linear Regression
- Logistic Regression
- Decision Tree (CART>Random Forests->Gradient Boost)
- Clustering
- Time Series
6
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
2 weeks
2 live classes
1
Data Platform and Architecture
- Data Warehousing, Data Lake, Unified Data Model (UDM)
- Database Schemas Design
- Data Governance
2
Data Pipeline
- Data Pipelines vs. ETL
- Data Collection: Ingestion, Processing, Batching, Validation, Analysis, etc.
Career Skills
3 weeks
3 live classes
1
Interview Strategy and Success
2
Behavioral Interview Prep
3
Offers and Negotiation
Support Period
6 Months
1
15 mock interviews
2
Take classes you missed/retake classes/tests
3
1:1 technical/career coaching
4
Interview strategy and salary negotiation support
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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
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Real-time progress update
11 programming languages
Get upto 15 mock interviews withhiring 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 - Data Analyst/Business Analyst
Detailed personalized feedback
Identify and work on your improvement areas
Transparent, non-anonymous interviews
Get the most realistic experience possible
More about mock interviews
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:
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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.
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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 Data Analyst & Business Analyst careers at top tech companies.
Register for webinar
It's Free
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.
1
Initial Screening Rounds:
- 1st Round: Technical Round
- SQL Questions: Design some schema, create pipelines
- Designing a Dashboard: Metrics, Business Question
- 2nd Round: Business Acumen
2
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
1
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?
2
Data Analyst/Business 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.
1
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 DA/BA 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
2
Skills Required for a Career in Data Analytics/Business Analytics
SQL Programming
Visualization tools such as Tableau
Statistical Knowledge (Hypothesis Testing, Significance Level, etc.)
MS Excel, PowerPoint
Excellent communication skills
Python (Preferred)
3
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.
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
L4
$99K
$81K
$10K
$8K
L5
$136K
$110K
$18K
$8K
L6
$205K
$140K
$44K
$21K
L7
$319K
$161K
$123K
$35K
Microsoft Data Analyst/Business Analyst Salary
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
60
$129K
$109K
$11K
$9K
61
$139K
$114K
$13K
$12K
62
$168K
$129K
$14K
$26K
63
$200K
$157K
$14K
$28K
64
$223K
$167K
$29K
$28K
Google Data Analyst/Business Analyst Salary
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
L3
$142K
$111K
$19K
$12K
L4
$206K
$142K
$43K
$22K
L5
$263K
$167K
$63K
$34K
Data Analyst/Business Analyst Salaries at other FAANG+ companies:
Average compensation by level
Company
Level
Total
Base
Stock (/yr)
Bonus
Netflix
Manager
$153K
$117K
$25K
$12K
Apple
ICT3
$225K
$210K
$15K
$0
Uber
L4
$157K
$123K
$20K
$14K
Tesla
P1
$110K
$90K
$20K
$0
LinkedIn
L3
$161K
$130K
$20K
$11K
Source: glassdoor.com and levels.fyi
FAQs on Data Analyst & Business Analyst Course
1
Who is the Interview Kickstart Data Analyst & Business Analyst course best suited for?
2
What coding topics are essential for BA/DA/BIA interviews, and how does our program cover them?
3
What is the difference between the DA & BA interview course and Data Science interview courses? Which program should I choose and why?
4
I do not have experience in Python. Does the Data Analyst & Business Analyst interview course cover Python basics?
Thank you!
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