Data Analyst
Company Name:-
IBM
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Introduction
At IBM, work is more than a job – it’s a calling: To build.
To design.
To code.
To consult.
To think along with clients and sell.
To make markets.
To invent.
To collaborate.
Not just to do something better, but to attempt things you’ve never thought possible.
Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
You are a Data Analyst, who will be responsible for the management of all aspects of data and information (both structured and unstructured) from business requirements to logical and physical design in an IT solution
An ambitious individual who can work under your own direction towards agreed targets and goals, you have the ability to manage change and to work under stress.
You are curious to learn as demonstrated by your up-to-date technical knowledge.
You are a good team player and you are familiar with Agile methodologies and principles and/or have experience working in an Agile team.
We seek an applicant who will thrive in an open, dynamic, flexible, fun, spirited, collaborative environment; an individual who desires creative freedom and the opportunity to work in a high performing team.
Responsibilities:
Be responsible for the management of all aspects of data and information (both structured and unstructured) from business requirements to logical and physical design in an IT solution
Have a scope that spans the full information management life-cycle from data acquisition, data cleansing, transformation, classification and storage to presentation, distribution, security, privacy and archiving
Be involved with databases (relational and multidimensional), taxonomies and business intelligence
Craft centralized or distributed systems that both address the user’s requirements and perform efficiently and effectively
Interpret data, analyze results using statistical techniques and provide ongoing reports
Acquire data from primary or secondary data sources and maintain databases/data system
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and clean data by reviewing reports and performance indicators to locate and correct code problems
Develop data reconciliat
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