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Siemens Bulk Hiring 2023| For Data Analyst

Byplacementkit

Sep 30, 2023
Siemens Off Campus Drive 2022Siemens Off Campus Drive 2022

Siemens Bulk Hiring 2023 :- Siemens Hiring freshers for the role of Data Analyst  . Check Below Details & Eligible Candidates can apply for this position. The detailed eligibility and application process are given below. 

Siemens Bulk Hiring 2023

Company NameSiemens
Post NameData Analyst
DegreeBE, B Tech, BA, B COM, BBA, BSC, BCA, ME, M Tech, MCA, MA, M COM, MSC, CA, Any Graduate
BranchAny Branches
Batch 2022, 2023,2024,2025
SalaryINR 7.5 LPA to 9.5 LPA
ExperienceFresher
LocationBangalore 

Job Description

We are looking for Data Analyst
·       Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
·       Work with large, complex data sets and applying advanced analytical methods as needed
·       Develop deployable machine learning solutions that address the real root cause
·       Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
·       Be the partner of choice regarding technology advisory for advanced analytics
·       Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies
You’d describe yourself as:
·      Knowledge in advanced data analytics/data science
·      Have five years of relevant experience with data science/optimization/statistical models

Minimum qualifications:

Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field
·       Understand the mathematics/optimization behind machine learning algorithms
·       Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-art models, as well as validating the model results against the stated business objectives
·       Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments
·       Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT

Responsibilities:

·       Experience with cloud technologies: AWS Sagemaker, Lambda etc.
·       Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the- art algorithmic approaches in real world business applications
·       Outstanding analytical and conceptual skills and an entrepreneurial mindset
·      Experience on collecting business requirements and traduce it into solution designs
·      Very good communication and presentation skills


Infosys Recruitment Drive 2023:- Click Here

 

Selection Process For Drive:-

  • Online Application Submission
  • Online Test- Aptitude Test, Technical Test
  • Interview
  • Selection

Check All Campus Drive & Apply:- Click Here

 

Skills and attributes for success

  • Excellent communication, presentation and people skills
  • Problem solving skills with quick learning ability and adaptability to change
  • Should be open to working in different time zones and travel as required
  • Should have high standard of integrity and confidentiality
  • Should be willing to work under tight timelines delivering good quality of work

How to apply :- Interested Candidates Can Register on Below Apply Links 

 

More Update To Join WhatsApp:- Click Here

 

INFOSYS Recruitment Off Campus For Freshers Internship.

 

More Update To Join Telegram:- Click Here

 

For More Details & Link: Click here

 

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