• Sr Analyst , Business Intelligence Jobs in Hyderabad,India

  • Dell India
  • Save Job
  • 5 - 8 Years
  • Posted : above 1 month

Job Description:

Dell provides the technology that transforms the way we all work and live But we are more than a technology company we are a people company We inspire, challenge and respect every one of our over 100,000 employees We also provide them with unparalleled growth and development opportunities We cant wait for you to discover this for yourself as a Analyst on our Business Intelligence team in Bangalore India

Dell is driven by data Our business is built on the understanding that data creates value and drives progress So we take the stewardship of our data very seriously Thats the vital role played by Business Intelligence teams within Business Support Internal clients across Dell rely on us to analyze, test, validate and maintain the integrity of data We make use of leading-edge software and tools to collect, mine and interpret data and the statistical analyses and reports we produce inform decisions with a global impact

We are looking for a savvy Data Engineer to join our growing team of analytics experts at your Performance Analytics Group (PAG) organization The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up The Data Engineer will support our data architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives

Key Responsibilities

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies
Support in building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Engage with peer teams and business stakeholders including on to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data systems
Recommend ways to improve data reliability, efficiency and quality

Essential Requirements

5 years overall experience, with 3 years of relevant experience in a data engineer role
Graduate degree in Computer Science, Information Systems or another quantitative field
Expertise and experience using the following tools & technologies ---
Basic/Intermediate knowledge/experience with warehousing/big data environments Teradata, Hadoop, GreenPlum etc,
Intermediate knowledge/experience with relational databases Microsoft SQL Server (T-SQL, SSIS, SSAS), Oracle, MemSQL etc,
Basic knowledge/experience with big data tools Hadoop, Spark, Kafka, etc
Basic knowledge/experience with stream-processing systems Storm, Spark-Streaming, etc
Experience building and optimizing big data data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large disconnected datasets
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment

We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities all to create a compelling and rewarding work environment

If you share our passion for data and youre keen to play a key role in driving progress, this is your opportunity to develop with Dell

Closing date 07 October, 2019

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate Dell will not tolerate discrimination or harassment based on any of these characteristics Learn more about Diversity and Inclusion at Dell

Job Family Business-Support Job ID R033696

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking
Functional Area : IT Software : Software Products & Services
Role : Data Warehousing
Salary : As per Industry Standards
Deadline : 11th Mar 2020

Key Skills:

Company Profile:

Dell Indiaarfix

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