Tiger Analytics is a global analytics consulting firm that provides AI and data-driven solutions to businesses across various industries. As part of the hiring process, Tiger Analytics conducts interviews to assess the skills and suitability of potential candidates. The interview process can be challenging, and candidates need to prepare adequately to increase their chances of success.
To help candidates prepare for the Tiger Analytics interview, we have compiled a list of frequently asked questions and answers. These questions are based on feedback from candidates who have gone through the interview process and provide insight into what to expect during the interview. The questions cover a wide range of topics, including technical skills, coding, and past experience. Candidates can use these questions to prepare for the interview and gain a better understanding of what Tiger Analytics is looking for in potential employees.
By understanding the interview process and preparing adequately, candidates can increase their chances of success and land their dream job at Tiger Analytics. It is essential to approach the interview with confidence, knowledge, and a clear understanding of what the company is looking for. With the right preparation and mindset, candidates can ace the interview and kickstart their career in analytics consulting.
Understanding Tiger Analytics
Tiger Analytics is a data consulting and advanced analytics firm that provides data-driven solutions to businesses. The company has been in operation since 2011 and has grown to become a leading player in the industry. In this section, we will provide an overview of the company, its history, and its operations.
Company Background
Tiger Analytics was founded in 2011 by Mahesh Kumar and Pradeep Gulipalli. The company is headquartered in the United States, with offices in India and Australia. The company’s mission is to help businesses leverage data to make informed decisions and improve their operations. Tiger Analytics serves clients in a variety of industries, including healthcare, retail, and finance.
As of 2023, Tiger Analytics has over 500 employees worldwide, with a mix of data scientists, consultants, and engineers. The company prides itself on its diverse workforce, which includes people from over 30 nationalities. The company culture is focused on collaboration and innovation, with a strong emphasis on continuous learning and development.
Tiger Tribe and Indigenous Appropriation
Tiger Analytics has a program called “Tiger Tribe” that focuses on employee engagement and development. The program includes initiatives such as mentorship, training, and team-building activities. Tiger Analytics also has a strong focus on social responsibility and has initiatives that support education, healthcare, and the environment.
In recent years, Tiger Analytics has faced criticism for its use of indigenous cultural elements in its branding and marketing. The company has since taken steps to address these concerns and has pledged to work with indigenous communities to ensure that their cultural heritage is respected.
Locations
Tiger Analytics has offices in the United States, India, and Australia. The company’s headquarters are located in the Chicago area, with additional offices in New York City, San Francisco, and Austin. In India, Tiger Analytics has offices in Chennai and Bangalore, while in Australia, the company has a presence in Sydney and Melbourne.
Overall, Tiger Analytics is a data consulting and advanced analytics firm that provides data-driven solutions to businesses. The company has a strong focus on collaboration, innovation, and continuous learning and development. With offices in the United States, India, and Australia, Tiger Analytics serves clients in a variety of industries and is committed to making a positive impact on society.
Preparation for the Interview
Preparing for a Tiger Analytics interview requires a combination of technical and behavioral skills. It is important to have a clear understanding of the company’s core values, mission, and vision. Candidates should also research the company’s recent projects, clients, and industry trends to demonstrate their interest and knowledge during the interview.
To excel in the technical interview, candidates should practice coding and problem-solving skills regularly. Leetcode-style questions are a great resource for sharpening programming skills, and it is recommended to practice using Python, SQL, and Java programming languages. Candidates should also have a solid understanding of data structures and algorithms to tackle complex problems.
In addition to technical skills, candidates should also be well-versed in machine learning concepts and numerical Python. It is important to be able to explain machine learning models and their applications in real-world scenarios. Candidates should also be comfortable working with strings, dictionaries, and other data structures in Python.
To prepare for the behavioral interview, candidates should practice answering common interview questions and have examples ready to demonstrate their problem-solving and teamwork skills. It is important to provide specific examples of how you have overcome challenges and worked collaboratively with others in the past.
Overall, preparation is key to succeeding in a Tiger Analytics interview. By practicing technical skills, researching the company, and preparing for behavioral questions, candidates can demonstrate their knowledge and expertise in the field.
Interview Process
The interview process at Tiger Analytics involves multiple stages to assess the candidate’s technical and soft skills. The process may vary depending on the position applied for, but typically involves a combination of phone screening, pre-screening, coding test, HR discussion, technical interview, technical round, coding round, manager/technical interview, technical skills, technical discussion, and project discussion.
The process starts with a phone screening conducted by the HR team to assess the candidate’s basic qualifications, experience, and availability. This is followed by a pre-screening interview, which is typically conducted by a recruiter to evaluate the candidate’s communication skills, personality, and fit for the role.
After the pre-screening, the candidate may be asked to complete a coding test to demonstrate their technical skills. The coding test may be conducted online or on-site, depending on the position. The coding test usually involves solving coding problems related to the position applied for.
If the candidate passes the coding test, they will be invited for an HR discussion to discuss their salary expectations, benefits, and other details. This is followed by a technical interview or technical round, where the candidate will be evaluated on their technical skills and knowledge related to the position.
The technical round may involve a coding round, where the candidate will be asked to solve coding problems related to the position. This is followed by a manager/technical interview, where the candidate will be evaluated by a manager or a senior technical person to assess their suitability for the role.
During the technical discussion, the candidate may be asked to discuss their technical experience, projects, and skills related to the position. The project discussion may involve discussing the candidate’s experience working on relevant projects and how they solved technical challenges.
Overall, the interview process at Tiger Analytics is designed to evaluate the candidate’s technical skills, experience, and fit for the role. Candidates are advised to prepare well for the technical round, coding round, and project discussion to increase their chances of success.
Roles and Questions
Tiger Analytics is a global analytics consulting firm that provides solutions across multiple industries. The company offers various roles such as Business Analyst (BA), Technical Architect (TA), Data Engineer (DE), Data Scientist (DS), Analyst, Senior Analyst, Lead Data Scientist, Big Data Engineer, Lead Java Developer, Senior Python Developer, and more. The interview process for each role differs based on the job requirements and responsibilities.
During the interview process, candidates can expect to be asked a range of technical and non-technical questions. The questions are designed to test the candidate’s knowledge, skills, and experience in the relevant field. For instance, candidates applying for a Data Engineer (DE) role can expect to be asked questions related to data structure and algorithms, while candidates applying for a Java Developer role can expect questions related to Java programming.
In a Data Scientist interview, candidates can expect to be asked numerical Python questions, data structure and algorithms, and machine learning concepts. Similarly, in a Senior Analyst interview, candidates can expect to be asked questions related to data analysis, data visualization, and SQL queries.
Below is a table that outlines some common questions asked during Tiger Analytics interviews:
| Role | Questions |
|---|---|
| Data Engineer | Explain data structure and algorithms. |
| Java Developer | Explain the basic concepts of Java programming. |
| Data Scientist | Explain the concept of machine learning. |
| Senior Analyst | Explain data analysis and data visualization. |
In addition to technical questions, candidates can also expect to be asked behavioral questions. These questions are designed to assess the candidate’s soft skills, such as communication, problem-solving, and teamwork. For instance, candidates may be asked to describe a time when they had to work with a difficult team member or how they handled a challenging project.
Overall, the interview process at Tiger Analytics is rigorous and requires candidates to have a strong technical background and excellent communication skills. Candidates should prepare for both technical and behavioral questions and be ready to showcase their skills and experience during the interview process.
Candidate Experience
The candidate experience at Tiger Analytics seems to be positive overall, with 61% of interviewees reporting a positive experience, according to Glassdoor. However, 26% of interviewees reported a negative experience, while 14% reported a neutral experience.
One anonymous interview candidate reported on Fishbowl that the interview process was “very smooth,” with “well-structured” and “relevant” questions. However, another candidate reported on Fishbowl that the interview process was “unprofessional” and that the interviewer “seemed disinterested.”
Candidates applying to Tiger Analytics in Chennai, Bengaluru, Hyderabad, or Toronto may have different experiences based on the specific location. Additionally, candidates who are indigenous or who come from diverse backgrounds may have different experiences depending on how inclusive and welcoming the company culture is.
It is worth noting that some candidates reported going through a staffing agency to apply for positions at Tiger Analytics. This may impact the candidate experience, as the staffing agency may have different processes or expectations than Tiger Analytics itself.
Overall, while the candidate experience at Tiger Analytics seems to be positive for the majority of interviewees, there is some variability in experiences depending on the individual candidate and the specific location or circumstances of their application.
Problem Solving and Case Studies
Problem solving skills are crucial for any data analyst, and the interview process at Tiger Analytics reflects this. The company often includes a problem solving or case study round in their interview process, which involves presenting a real-world problem to the candidate and asking them to come up with a solution.
During this round, the interviewer may ask the candidate to demonstrate their problem solving skills by asking them to explain their thought process or to walk through how they would approach a particular problem. The interviewer may also ask the candidate to perform some string manipulation or to write code to solve a particular problem.
In order to succeed in this round, candidates should be able to think critically and logically, and they should be able to communicate their thought process clearly and confidently. They should also be able to demonstrate their ability to work with data and to use programming languages such as Python or R to solve problems.
Overall, the problem solving and case study round at Tiger Analytics is designed to test the candidate’s ability to think on their feet and to come up with creative solutions to real-world problems. Candidates who are able to demonstrate these skills are more likely to be successful in the interview process and to be offered a position at the company.
Additional Information
If you are preparing for an interview at Tiger Analytics, there are a few things you should know. Here are some additional insights, advice, and probabilities to help you prepare.
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Interview Questions: Based on the search results, there are over 200 Tiger Analytics interview questions available online. It’s a good idea to go through a few of these questions to get a sense of what to expect. The questions cover a range of topics, including data analytics, programming, and business analysis.
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HR Team: The HR team at Tiger Analytics is professional and knowledgeable. They will be able to answer any questions you have about the interview process, the company culture, and the job itself. Be sure to ask them any questions you have before the interview to make sure you are fully prepared.
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Analyst Interview: If you are interviewing for an analyst position, be prepared to answer questions about your experience with data analysis, programming languages, and business analysis. You may also be asked to complete a coding challenge or a case study to demonstrate your skills.
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Projects: Tiger Analytics works on a wide range of projects for clients in various industries. During the interview, you may be asked about your experience with specific types of projects or industries. Be prepared to talk about your past projects and how they relate to the work done at Tiger Analytics.
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Advice: To increase your chances of success during the interview, be sure to research the company and the job thoroughly. Review the job description and the company’s website to get a sense of what they are looking for in a candidate. Practice your answers to common interview questions and be prepared to ask questions of your own.
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Probability: According to Glassdoor, 61% of interviewees had a positive experience at Tiger Analytics, while 26% had a negative experience. This suggests that the interview process is generally fair and transparent, but it’s important to be prepared and confident to increase your chances of success.