Data Analysts

Hey,I'm also considering applying to the program. In general, throughout my journey of applying and participating in internships, I almost always experience imposter syndrome. Please do not let that stop you! Your knowledge and experience will speak for itself, so try to challenge those limiting ...

The interview had two 45 minute rounds: SQL and Python.For each round they give 5-6 questions and we are required to solve as many as possible.I prepared for the SQL segment by revising SQL concepts from undergrad and practicing questions on Leetcode.For Python segment, I prepared by revising bas...

A regular day involves interaction with points of contact, attending analytics meetings and working on your project. Data Engineer is mainly involved creating large tables to support extensive analysis: They have to understand requirements of the project Building ETL (data) pipelines to create ta...

A typical day starts a briefing of yesterday's work and the plan of today's work at 9:30, usually an hour after coming into office. Then you might start ETL using the data-set which your co-worker have roughly processed or start modeling. ETL sounds simple but it can cost days to accomplish due t...

Due to the position I applied, I prepared the interview from three aspects. The first was behavior interview, the second was technical interview and the third was case interview. For behavior interview, I focused on problems like 'Tell me about how you work under pressure and give an example' or ...

The actual tasks depend largely on the team and the manager. But generally, you can expect some work on business analytics and optimization.

Any coding and analytics experiences you have had in classes, side projects, and previous internships. In addition, highlight your teamwork and communication/presentation skills.

Basically, an IE Data analytics intern generates reports to give an overview or how and how much inventory is being used, are there any issues in processing items, and data quality check. I used to generate excel and tableau reports (mainly graphs) for the upper-level management to view and make ...

For Analytics at Facebook or any other company, understand the, product business model and the core mission. This will help you answer questions about certain product decisions or ways in which you would go about solving a certain problem. You can practice Fermi questions as a bonus. In any case,...

Data Analytics combines critical/analytical skills i.e. understanding a problem, doing a sample-exhaustive search for the source of the problem and articulating a potential solution, AND technical skills like basic statistical skills, data collection, data cleaning, data querying and data visuali...

You need to have a good understanding of statistics, and tools that can be used to perform data analysis such as Excel, R, or others. It is also helpful to have an understanding about how your analysis can be implemented into the business or for a product.

For a Data Analyst Intern position, one should have a good background in networks and/or Information Technology. That doesn't necessarily mean that they need to know everything about various different protocols and devices, but they should at least be prepared to answer some basic questions. De...

The analytics role is always hiring new people, and they are usually pretty good about offering positions to their interns. If you want to ensure an offer, put in the time to study the material, and take the internship seriously. Demonstrate that you have an interest in finance/the markets and ca...

Have a basic understanding of how businesses work. Data Analysis doesn't mean you have to use some high-end tool. Your job is to analyze data and promulgate your findings effectively. Latter being more important. Even if you're able to achieve that in excel well and be good, have a structured app...

Like - Well, I really enjoyed my work, Data Analysis is my forte. I liked making predictive models and helping capturing business insights. Dislike - Well, Any data analysis job requires a lot of patience, you won't get instantaneous results, you will encounter errors you have to be patient and ...

My project was mainly based on exploratory analysis using MSSQL server and Tableau. Other things I worked on included exploring social media data. Day to day life is entirely dependent on what project(s) you work on and what your abilities are.

There's no typical day at work and no specific routine. However, as a data analyst, I spent a majority of my time collecting data from multiple sources and databases, cleaning and pre-processing the data into the required format and analyzing it to develop interesting insights. Very often, I had ...

The interview process at Southwest is very relaxed and easy. The first round is a phone-interview. It consists of basic behavioral questions such as "Tell me about yourself" , "why this position", "Why would you want to work for Southwest", "Tell me about a few relevant classes you took", "Tell m...

SQL is required as all data is in relational database. Statistical analysis tools such as Python, R or SAS are required to perform data analysis.

Any coding and analytics experiences you have had in classes, side projects, and previous internships. In addition, highlight your teamwork and communication/presentation skills.

Honestly speaking, accuracy is the key. In my team, you need to know how to use excel very well. Although you are not required to do SQL programming, it’s important to know the database logic. Otherwise it can be very struggle to understand how to operate in Database Manager. But there are some o...

From my experience in the interview process you have to be able to describe yourself as an analytical person who can adapt and problem solve with little management. The job entails coding so they look for that kind of background but don’t stress if you’ve never coded. I never did and they are wil...

Keep communication open, ask questions, show that you have the ability to learn, and communicate to people that you are wanting to work here. Also, be open to any position. Once you are in, it is easier to move around and get to a position that you desire.

At IBM, I had the opportunity of working on two different teams. On one team I was an Information Developer Intern, where I worked with a financial planning and analytics team to develop an automated testing tool using VBA macros and an IBM analytics program called Cognos CAFE. On the second team...

The training for me because I didn’t know coding was basically sitting with a full time analyst to learn the database as best as I can then move on to learn to code. The coding language they use is SQL it’s tough at first but like any other language it becomes more clear and easy the more you do ...

I had a lot of ownership of my work at Intel. It was very independent work. I don't think the supervisors had time to manage/hover over us constantly, which is why the interns were each given their own set of machines to consistently monitor. I had one-on-ones every now and again, but I'd say the...

Intel generally offers $32.5 per hour. I knew someone who negotiated on that, but I wouldn't recommend that.

For Analytics at Facebook or any other company, understand the, product business model and the core mission. This will help you answer questions about certain product decisions or ways in which you would go about solving a certain problem. You can practice Fermi questions as a bonus. In any case,...

Data Analytics combines critical/analytical skills i.e. understanding a problem, doing a sample-exhaustive search for the source of the problem and articulating a potential solution, AND technical skills like basic statistical skills, data collection, data cleaning, data querying and data visuali...

For a Data Analyst Intern position, one should have a good background in networks and/or Information Technology. That doesn't necessarily mean that they need to know everything about various different protocols and devices, but they should at least be prepared to answer some basic questions. De...

Have a basic understanding of how businesses work. Data Analysis doesn't mean you have to use some high-end tool. Your job is to analyze data and promulgate your findings effectively. Latter being more important. Even if you're able to achieve that in excel well and be good, have a structured app...

Like - Well, I really enjoyed my work, Data Analysis is my forte. I liked making predictive models and helping capturing business insights. Dislike - Well, Any data analysis job requires a lot of patience, you won't get instantaneous results, you will encounter errors you have to be patient and ...

A typical day starts by reviewing KPIs that ensure the database, for whichever products (i.e. mutual funds, hedge funds, ETFs), are complete and all data has been received and processed. Data Analysts are responsible for data integrity, so when issues arise, it's their responsibility to both get ...

Data Analytics combines critical/analytical skills i.e. understanding a problem, doing a sample-exhaustive search for the source of the problem and articulating a potential solution, AND technical skills like basic statistical skills, data collection, data cleaning, data querying and data visuali...

The analytics role is always hiring new people, and they are usually pretty good about offering positions to their interns. If you want to ensure an offer, put in the time to study the material, and take the internship seriously. Demonstrate that you have an interest in finance/the markets and ca...

The analytics role means that you are talking with clients all day, helping them solve problems and answer questions. To succeed as an analytics representative, you need to be interested in the markets and finance, you need to be able take in a lot of information, learn quickly, and be adaptable....

Have a basic understanding of how businesses work. Data Analysis doesn't mean you have to use some high-end tool. Your job is to analyze data and promulgate your findings effectively. Latter being more important. Even if you're able to achieve that in excel well and be good, have a structured app...

Like - Well, I really enjoyed my work, Data Analysis is my forte. I liked making predictive models and helping capturing business insights. Dislike - Well, Any data analysis job requires a lot of patience, you won't get instantaneous results, you will encounter errors you have to be patient and ...

SQL is always a great baseline to be familiar with. The age of the Functional Business Analyst is waning, and almost all are expected to be able to query a database or structure data outputs to be consumed in other Quantitative models. If you can code with Python, it will go a long way as well.An...

Interview questions tend to assess "company fit" more than technical expertise.For the technical part , Intermountain relies a lot on Oracle Databases, so a good understanding of SQL is essential. Some knowledge of Tableau/Cognos will also hold you in good stead. R/Python knowledge will give you ...

the quantitative analysis skills, R/Python programming, and statistical knowledge that I gained from my major are really important to me and my career development. Although this internship and my current job are more data science like, which is different from my major, the quant skills I learned ...

The skills required for Catastrophe Modeling Analyst are:Candidate must be able to demonstrate Analytical thinking.Candidate must be comfortable with mathematical calculations.Candidate must be able to manage time effectively and handle work pressure during peak season.Candidate should be able to...

It may vary from team to team and different geographic locations, but overall I have seen a heavy focus on work-life balance. The company recognizes how important that is, and makes it a priority.

Know the background of company, its products and offerings, and its mission. Have an understanding of the current change in the way media is delivered. Look at how you watch television and note why and how you watch what you watch (Do you binge watch or weekly watch? Do you watch through traditio...

As my career has grown and evolved I have always kept my eyes open to opportunities that both interest me and make myself valuable in today's competitive landscape. An area that I have found this in is big data analysis using data mining skills such as SQL coding & analytical/visual data platform...

I would definitely say Thomson Reutes is a good place to kickstart a career because working in a big company like Thomson Reuters can help you learn a lot of things. The good working environment and good people around you can provide you valuable working experience. A data analyst or business ana...

Thomson Reusters is a financial data provider company and it has a strong database to provide useful financial information for investors. All the content in Thomson Reuters’ financial products are collected and analysed by data analysts. The data includes fundamentals, estimate, economic, merge/s...

SQL is required as all data is in relational database. Statistical analysis tools such as Python, R or SAS are required to perform data analysis.

As a data manager, I build databases by compiling patient information from patient charts. I mainly assist the doctors in the department with any research or data related thing that they need.

I like that the role is very different than anything you would learn in school. CDOs can be very interesting and learning about them can be very rewarding. I dislike that many of the analyst are complacent in their own roles and do not strive to reach higher positions.

The training program for a CDO analyst is very informal and mostly on the job training. The first week in the role is mainly spent with reading materials and getting acclimated to the various software platforms used by US Bank. The next two to three weeks are spent shadowing fellow analysts as th...

Honestly speaking, accuracy is the key. In my team, you need to know how to use excel very well. Although you are not required to do SQL programming, it’s important to know the database logic. Otherwise it can be very struggle to understand how to operate in Database Manager. But there are some o...

A typical day starts by reviewing KPIs that ensure the database, for whichever products (i.e. mutual funds, hedge funds, ETFs), are complete and all data has been received and processed. Data Analysts are responsible for data integrity, so when issues arise, it's their responsibility to both get ...

No one day is the same. The work can consist of writing test scripts for a software system, analyzing data inputs and outputs, configuring backend components of a system, coordinating meetings, organizing trainings, and/or developing reports that summarize key information. These are just a few of...

Work-life balance is a subjective term and it depends on various factors such as what level is your position, what are your other interests outside of work, etc. I typically like to work long hours (because the work demands me to work) as it is the starting stage of my professional career. But as...

A typical day starts with a stand-up call/meeting with other team-mates (generally 5-6 people) to discuss the status of the tasks done yesterday and plan for that current day. Then everyone disperses to start working on their assignments for that day. Most of the work in BI / Datawarehousing doma...

My job was very flexible and I did not have a structured schedule. I could work from home or in the office. Mostly 40 hours a week and on occassion would work 40+.

As a Senior Analyst for a database, I was the first level point of contact for anything related to the database so my day involved answering emails/phone calls to address issues and take action. Also, attending project conference calls to report out on the status of database work or simply be an ...

Basically, an IE Data analytics intern generates reports to give an overview or how and how much inventory is being used, are there any issues in processing items, and data quality check. I used to generate excel and tableau reports (mainly graphs) for the upper-level management to view and make ...

From my experience in the interview process you have to be able to describe yourself as an analytical person who can adapt and problem solve with little management. The job entails coding so they look for that kind of background but don’t stress if you’ve never coded. I never did and they are wil...

Having prior experience with Linux would be very useful. We worked a lot in the terminal with vi, so that would be good to know in addition to basic Linux commands.

Two things, your skill set in using different tools/languages and your experience in dealing with data from scratch to come up with some actionable insights.

For Analytics at Facebook or any other company, understand the, product business model and the core mission. This will help you answer questions about certain product decisions or ways in which you would go about solving a certain problem. You can practice Fermi questions as a bonus. In any case,...

Data Analytics combines critical/analytical skills i.e. understanding a problem, doing a sample-exhaustive search for the source of the problem and articulating a potential solution, AND technical skills like basic statistical skills, data collection, data cleaning, data querying and data visuali...

You need to have a good understanding of statistics, and tools that can be used to perform data analysis such as Excel, R, or others. It is also helpful to have an understanding about how your analysis can be implemented into the business or for a product.

Proficiency in the required technical skill areas (i.e. experience using a certain coding language, software platform, etc) as a pre-requisite. Capacity to lead and represent the work group. Sound judgement. Communicate clearly and simply. Be inquisitive. Have experience-backed opinions on issues...

Yes, make sure you know Big Data algorithms in case it comes up. Know Python and Java. Knowing Scala is a major plus. You'll probably be writing code similar to MapReduce on Hadoop so be familiar with how to implement that. Also, smile, speak up and always demonstrate your thought process during ...

There are two areas where you need knowledge: tools and theory. The tools may be specific to the job description. In my case, they included Splunk. You should know at least one programming language, preferably Python and/or R. You should definitely know SQL regardless. Then there is the theory wh...

I use the Microsoft Office suite daily, that is the only skill that I would say that I meed tp remain sharp in. Going into this role 5 years ago, I did not have many other skills outside of that other than having studied them conceptually in classes in my college course. Over the years, I have pi...

Since creating my profile, Citi has gone under a bit of restructuring and I am now part of the Production Management Reporting team still serving as a Data Analyst. It is the same role that I have been serving in since I joined Citi 5 years ago. The Production Management organization responsible ...

It depends entirely on management and yourself. Unfortunately I did see a lot of people try and get out of supporting projects they’ve worked on for years without any proper transitioning. I’ve also seen management support this at times which was also upsetting. My suggestion is to never do this....

Our team is one of many teams involved in the software lifecycle process. We are responsible for the deployment of new software to our production environments. As a team lead I oversee and perform these deployment tasks. We have the Engineering teams that write code and our QA team that runs te...

The Data Analyst role typically does not hire directly out of college. Vanguard flips the normal flow of titles so it goes Associate then Analyst. Having said that, this role is almost exclusively made up of people who are just getting experience on a trading floor. The most important thing is to...

The analytics role is always hiring new people, and they are usually pretty good about offering positions to their interns. If you want to ensure an offer, put in the time to study the material, and take the internship seriously. Demonstrate that you have an interest in finance/the markets and ca...

Have a basic understanding of how businesses work. Data Analysis doesn't mean you have to use some high-end tool. Your job is to analyze data and promulgate your findings effectively. Latter being more important. Even if you're able to achieve that in excel well and be good, have a structured app...

Like - Well, I really enjoyed my work, Data Analysis is my forte. I liked making predictive models and helping capturing business insights. Dislike - Well, Any data analysis job requires a lot of patience, you won't get instantaneous results, you will encounter errors you have to be patient and ...