Job Profiles in Big Data - StackDataLabs

Job Profiles & Future Scope of
Big Data
Stack Data Labs - Immersive Training Provider

Introduction
● In the past few years, there is an increase in job
profiles in Big Data.
● Big data is hot and it's unlikely that this will
change in the near future.
● Companies’ have increased their focus on
acquiring Big Data talent with the creation of a
whole new set of Big Data roles and titles.

Trends in Big Data 2017
● Big Data becomes fast and approachable.
● Spark and Machine Learning light up big data.
● Convergence of IoT, Cloud and big data creates
new opportunities for self-service analytics.

Trends in Big Data 2017
● Self-service data prep becomes mainstream as end
users begin to shape big data.
● Big data no longer just Hadoop.
● Big Data grows up, Hadoop adds to Enterprise
standards.

Data Scientist
● A data scientist is as rare as a unicorn and gets to
work every day with the mindset of a curious data
wizard.
● He/she masters a whole range of skills and talents
going from being able to handle the raw data,
analyzing that data with the help of statistical
techniques, to share his/her insights with his peers in
a compelling way.

Responsibilities of Data Scientist
● Selecting features, building and optimizing classifiers
using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of
information when needed

● Enhancing data collection procedures to include
information that is relevant for building analytic
systems
● Processing, cleansing, and verifying the integrity of
data used for analysis

Data Analyst
● Just like the data scientist, the skills and talents that
are needed for this role are diverse and range the
entire spectrum of the data science process combined
with a healthy “figure-it-out” attitude.
● Languages like R, Python, SQL and C are elementary
to him/her.

Responsibilities of Data Analyst
● Analytical Skills: Data analysts work with large
amounts of data.You will need to see the data and
analyze it to find conclusions.
● Communication Skills: Data analysts are often called
to present their findings, or translate the data into an
understandable document.

● Critical Thinking: Data analysts must look at the
numbers, trends, and data and come to new
conclusions based on the findings.
● Attention to Detail: Data is precise. Data analysts have
to make sure they are vigilant in their analysis to come

Data Engineer
● The data engineer often has a background in software
engineering and loves to play around with databases
and large –scale processing systems.
● Every role is different, though, so some may require
more specialized knowledge in one of these areas
over the others.

Responsibilities of Data Engineer
● Data Analysis: Are you a pro with MapReduce, Hadoop
or even data mining? In addition to processing data,
you may also need to know more specialized
techniques like machine learning or even statistical
analysis.

● Data Warehousing: Are you familiar with large data
stores? Do you know how to get data in or take data
out?
● Data Transformation: Sometimes data needs to be
changed or transformed into a different format in

● Data Collection: You have to crawl before you can
walk. Crawling the Web or extracting data from an
existing database or API are common chores for Big
Data engineers.

Database Administrator
● Database Administrator makes sure that the database
is available to all relevant users, is performing
properly and is being kept safe.
● A Database Administrator makes sure that all backup
and recovery systems are in place, and keeps track of
the different technologies that are being used.

● Implement, support and manage the corporate
database.
● Design and configure relational database objects.
● Are responsible for data integrity and availability.
Responsibilities of Database Administrator

● Ensure database security, including backups &
disaster recovery.
● Plan and implement application and data provisioning.

Data Architect
● The person in this role creates the blueprints for data
management systems to integrate, centralize, protect
and maintain the data sources.
● The data architect masters technologies like Hive, Pig,
and Spark, and needs to be on top of every new
innovation in the industry.

Responsibilities of Data Architect
● Determines database structural requirements by
analyzing client operations, applications, and
programming; reviewing objectives with clients;
evaluating current systems;
● Prepares users by conducting training.

● Develops database solutions by designing proposed
system; defining database physical structure and
functional capabilities, security, backup, and recovery
specifications.
● Installs database systems by developing flowcharts.

Responsibilities of Data Architect

Data & Analytics Manager
● A data analytics manager steers the direction of the
data science team and makes sure the right priorities
are set.
● This person combines strong technical skills with a
diverse set of technologies (SQL, R, SAS, …) with the
social skills required to manage a team.

Responsibilities of Data &
Analytics Manager
● Suggest an area for and methods of improving
operations.
● May collect and analyze external market data to
provide benchmarks for comparison purposes.

Analytics Manager
● Demonstrates expertise in a variety of the field's
concepts, practices, and procedures.
● Presents reports to management for use in decision
making and strategic planning.

Analytics Manager

Business Analyst
● The business analyst is often a bit different from the
rest of the team.
● While often less technically oriented, the business
analyst makes up for it with his/her deep knowledge
of the different business processes.

Responsibilities of Business Analyst
● Assisting with the business case
● Planning and monitoring
● Eliciting requirements
● Requirements organization

Responsibilities of Business Analyst

Statistician
● Although often forgotten or replaced by fancier
sounding job titles, the statistician represents what
the data science field stands for: getting useful
insights from data.
● Statisticians can handle all sorts of data

Statistician
● With his/her strong background in statistical theories
and methodologies, and a logical and stats oriented
mindset, he/she harvests the data and turns it into
information and knowledge

Responsibilities of Statistician
● Apply statistical theories and methods to solve
practical problems in business, engineering, the
sciences, or other fields
● Decide what data are needed to answer specific
questions or problems

● Design surveys or experiments or opinion polls to
collect data
● Collect data or train others to do so
● Analyze and interpret data
● Report conclusions from their analysis

Why is Big Data the best career move?
● Soaring Demand for Analytics Professionals
● Huge Job Opportunities & Meeting the Skill Gap
● Huge Salary Aspects
● Big Data Analytics: A Top Priority in a lot of
Organizations

Why is Big Data the best career move?
● Analytics: A Key Factor in Decision Making
● The Rise of Unstructured and Semistructured Data
Analytics
● Big Data Analytics is Used Everywhere!

For more Info or Training
Contact us:
https://www.stackdatalabs.com
www.stackdatalabs.co
m
Connect With Us On Social Media

Job Profiles in Big Data - StackDataLabs

More Related Content

What's hot (20)

Viewers also liked (20)

Similar to Job Profiles in Big Data - StackDataLabs (20)

Recently uploaded (20)

Job Profiles in Big Data - StackDataLabs