DATA ANALYST

Career Track

• Data Analyst explores the ways in which data can be used to answer

business questions and solve problems a company is facing

• In simplest terms, they act as a bridge between data (accumulated

through various sources) and management, as they translate numbers

into easy to understand outcomes & suggestions.

• They also help the company in identifying loopholes, hence boosting

the bottom line of the business.

• So, they must have analytical + Business & Industry knowledge +

communication skills.

WHAT IS DATA ANALYST?

It’s important to note that Data Analyst is an umbrella term.

It could also include titles like Business analyst, Management reporting,

Corporate strategy analyst, Compensation & Benefits analyst, Budget

analyst, Insurance Underwriting Analyst, Actuary, Sales analytics, Web

analytics, Fraud analytics, Credit analytics, Business Product analyst and

Social media data analyst.

Note

They collect, process & perform statistical analyses of data. However, the job description of a Data Analyst will

strongly vary depending on their specialty and the type of company they work for.

• Collect & analyze complex data using statistical techniques,

interpret it & provide reports.

• Develop and implement databases, data collection systems, data

analytics and other strategies that optimize statistical efficiency & quality

• Acquire data from various sources and maintain databases.

• Identify trends and patterns in data sets.

• Filter data by reviewing reports & performance indicators to locate

& correct code issues.

• Work with stakeholders to prioritize business & information needs.

• Identify & define new process improvement opportunities.

What does an Analyst do?

A data analyst job description generally includes:

• Rockstar New York is seeking an Experienced Data

analyst to join Our Analytics practice and help Advance

our business intelligence capabilities. Successful

candidates will work with

• Analytics and products leadership to assure that the

most relevant real-time and historical data is identified,

tracked, analyzed, and made actionable across all of

our titles.

• This is a full-time permanent position Based out of Rock

star’s unique game development studio in the heart of

Downtown Manhattan.

Let’s have a look at what companies look for while hiring a data analyst:

Rockstar Games

New york, USA

• The Rockstar Analytics team Provide insights and actionable

results to a wide Variety of stakeholders across the

organization in support of their decision making

• We work together with a number of departments to design

and implement dada and pipelines.

• We collaborate as a global team to develop cutting-edge

data products, pipelines, data model, reports, analyses and

machine learning applications.

What we do?

• Analyze, synthesize and interpret and player data to determine

observations and trends.

• Partner with data scientists and live producers to identify strategic

business questions, key metrics and actionable insights.

• Drive needle moving improvements via hands on exploration of

data and dashboards.

• Follow up on data collection system integration with internal teams.

• Collaborate with game ad development teams to ensure that the

implementation of metrics corresponds to the observed values.

• Contribute to the development and enhancement of the data

collection systems.

• Drive requirements for data collection and for data modeling with

data engineers.

• Document new and modified data sources, tables and field.

• Work within a team of data analysts and engineers.

Responsibility

• Apply your technical expertise to help solve, inform, influence, support and execute

our HR business decisions for the people analytics team and all of our clients (HR

Business Partners, L&D, Diversity, People Growth, People Operations, Global Mobility,

Benefits and Equity) use tools and programming languages like Tableau, hive, R,

Python, Excel, Workday, Visier and many other internal tools to work efficiently at scale.

• Maintain code-base (SQL) used to drive self-service tools and recommended

opportunities for improvement.

• Create and iterate on solutions and dashboards to empower operational and

exploratory analysis.

• Enforce best practices and alignment with research, forecasting, analytics and

engineering teams

• Effectively communicate with external clients and internal clients to deliver solutions in

a timely fashion.

• Respond to (or triage) any and all requests related to people data with minimal

guidance or oversight.

• Documents requirements with stakeholders and partners with other teams on borders

changes to core dashboard and solutions.

• Collaborate effectively with other team members.

• Demonstrate exceptional judgment and discretion when dealing with highly sensitive

people data.

• Demonstrate initiative and strong attention to detail.

Data Analyst, People Analytics

Facebook

New York, NY, USA

Responsibilities

• BA/BS in a field that emphasizes data and visualization (e.g. computer science, social

science, physical science, math, engineering or statistics) or equivalent working

experience.

• 3+years experience with SQL (or similar language aimed at querying relational

database)

• 3+years of experience working with data visualization tools.

• Experience with Excel (e.g. formulas, charting etc).

• Experience with data management, specifically with validating and auditing data and

reports from multiple systems.

• Experience initiating large data sets through statistical software or other methods.

• Experience manipulating large data sets through statistical software or other methods.

• Experience processing and analyzing data sets through data sets, interpreting them for

making business decisions.

• Experience communicating the results of analyses with product and leadership teams to

influence overall strategy of the products.

• Experience knowing when a question requires reporting on data vs. statistical analysis.

• Experience exercising judgment and discretion.

Minimum Qualification

• 5+years of experience as a business analyst, data analyst, or in a similar data-focused

capacity.

• Technical skills in data extraction, analysis and visualization, e.g. SQL, Pythan/R, Excel

and Tableau.

• Advance Excel and SQL skills.

• Experience with business intelligence software, particularly Tableau and Locker.

• Demonstrated analytical skills and problem-solving acumen.

• Strong written and oral communication skills.

• Experience consulting with business owners to identify reporting needs to automated,

scalable systems.

• Highly motivated self-starter able to take ownership of analysis projects from start to finish.

• Passion for working in a fast-paced environment, with an ability to adapt quickly to

changing priorities.

• Project management skills.

Senior Finance Lead, Data Analyst

What will it take to succeed?

WeWork

New York, NY, USA

• Use Roku’s Big Data to perform through analysis.

• Develop data visualizations that illustrate complex platform

phenomena.

• Use creativity to find proxies where verbatim data or measurement

is available.

• Build experiments that guide core product decisions and

outcomes.

• Identify new applications for the myriad logged events in Roku’s

immense data catalogue.

Data Analyst

Responsibilities

Roku

New York, NY, USA

• 3+years of experience as a data analyst in technology, e-commerce,

finance or ad-tech.

• Excellent command of SQL and experience working with big data.

• Experience coding R or Python.

• Experience with data visualization platform.

• Command of statistical theory, probability distributions and hypothesis

testing.

• Advance problem solving.

• Experience designing control-test experiments.

• Clear communication.

• Academic background in maths, physics, computer science,

economics.

Technical Experience/Qualification

As you can see, to become a Data Analyst, you should not only possess strong technical skills but also have

excellent communication skills because, at the end of the day, you will be explaining numbers to mostly non-

tech savvy people. So, it’s vital that you not only have the ability to read between the lines (numbers in this case)

but also must be able to turn data into actionable insights.

As a data analyst, you’ll be approached by the company to help them for a variety of reasons, ranging from product pricing

to employee productivity. So, it’s a role that requires a lot of quantitative expertise.

Data Analyst

Senior Data Analyst

Business Analyst Analytics Manager Data ScientistSenior Financial Analyst

Data ScientistAnalytic ManagerDirector of Analysts

Senior Managerbusiness AnalyticsBusiness Analyst, IT

Senior business analyst

Finance Director

Senior Business Analyst

Finance manager

Business insights & Analyticsmanager

Director of analytics

Career paths for Data Analysts

Senior Data Scientist

Seasoned data analysts are in huge demand all across the globe. According to a recent study, 59% of

organizations plan to increase the number of positions requiring data analysis skills in the near future.

• Here are the Top 14 sectors that hire Data Analysts (Listed in no particular order):

1. Banking & Securities

2. Healthcare

3. Search Engines

4. Social Media

5. Manufacturing

6. Communication & Media

7. Education

8. Insurance

9. E-Commerce

10. Consumer Trade

11. Energy

12. Transportation

13. Sports

14. Mining & Recourses

Who hires a Data Analyst?

1. Adobe

2. Amazon

3. Apple

4. Berkshire Hathaway

5. Cisco

6. Facebook

7. Google

8. HCL

9. IBM

10. Infosys

11. Instagram

12. Intel

13. JPMorgan

14. Mahindra

15. Oracle

16. PayPal

17. Pixar

18. Rockstar Games

19. Wipro

20. Tata Consultancy Services (TCS)

Here are the Top 20 companies that hire Data Analyst

Learn all the tools you can, because they work together, and you’re way better off knowing

SQL and R/Python than just R/Python.

• Data Analysis: Excel, SQL, Access.

• Data Visualization: PowerBI,

• Excel, Tableau

• Automation: VBA, RPA

• Querying Languages: SQL, Hive, PIG

• Programming Languages: SAS, R / Python.

• Microsoft Office Suite: Word, Outlook

What are the Tools required to become a Data Analyst?

1. DubiousTo excel in your career as a data analyst, the first thing you need to know is that

data does not reveal the pitch-perfect answers. So, considering your initial findings

as concrete evidence is not something you want to do. You will have to adjust it

several times before getting the answer your company is expecting from you.

2. Detail-OrientedA successful analyst is one who understands how best to extract perfect

information from imperfect data by keeping an eagle eye on the huge pile of data.

3. Business AcumenTo be a data analyst you will need to have a sound knowledge of the industry you are

working in. You should also know the business inside and out because it’s a

prerequisite in order to detect any loopholes or to measure customer sentiments. Your

company will also expect from you to identify untapped opportunities which is only

possible when you have a solid understanding of the industry and business.

What are the skills/qualities needed to be a Data Analyst?

4. Fascinated by DataRunning an SQL query is not a big deal for tech-savvy people, but these queries

are often misleading. As a data analyst, you must understand this and first perform

an exploratory investigation. Which means you will have to dive deep into data and

search for answers. And to do that, you must love exploring data otherwise it will

feel like the most tedious job in the world. So, until and unless you are not

fascinated with the data, we would advise you to not get into this field.

5. CuriousData analysis is a perfect blend of art and science. So, if you want to make a career in

the field of data analysis, you must be a curious person. You should not stop asking

questions like how things work and why. Remember, as a data analyst, your job is not

just to mine data & create reports, it’s much deeper. You are a seeker of truth, you

Want to understand how things work, what are the factors that influence a customer’s

decision, etc.

What are the skills/qualities needed to be a Data Analyst?

What are the Education Requirements?

• Mathematics

• Computer Science

• Information Management or Business Information Systems

• Finance

• Economics

• Statistics

What are the Education Requirements?

Because the demand is greater than supply, skilled data analysts command great pay and excellent

perks, even at the entry level.

• Entry Level (0-3 years) - $49,643 - $71,010

• Mid-level (3-5 years) - $82,845 - $130,352

• Entry Level (0-3 years) - INR 465,136 – INR 680,935

• Mid-level (3-5 years) - INR 720,193 - INR 980,020

What is the average salary for a Data Analyst in USA & India?

USA (Per Annum):

India (Per Annum):