Elitemet Solutions Hiring Drive 2024 For Data Analyst (Python / SQL) | Work From Home

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Elitemet Solutions Hiring Drive 2024: Elitemet Solutions Hiring Drive 2024 for its Data Analyst (Python / SQL). Elitemet Solutions Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s or Master s Degree. if you are interested, please apply as soon as possible.

Company Name: Elitemet Solutions

Role: Data Analyst (Python / SQL)

Location: Remote

Experience: 0 – 1 years

Qualification: Bachelor’s or Master s Degree

Batch: Any

Job Type: Full Time

Salary: INR 400,000 – 500,000

Elitemet Solutions Hiring Drive 2024

Job Description:

  • Responsible for analyzing and interpreting large sets of data to identify patterns, trends, and insights that can inform business decisions.
  • Proficient in using data analysis tools, statistical methods, and data visualization software.


  • Bachelor s or Master s Degree
  • Knowledge of Python, SQL, Azure Data Factory
  • Knowledge of Tableau is a plus
  • Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible format
  • Basic understanding of loan process / finance business and/or Accounting is a plus
  • Strong communication skills
  • Ability to navigate through a matrix of complex org structures to meet relevant people and extract data from the Org structure and IT infrastructure
  • Integrity of dealing with sensitive data information
  • Ability to deal with complex mathematical problems in dogged and untiring manner
  • Consulting abilities: MECE approach, problem solving, lateral thinking
  • Result Orientation with in Engineering Execution Excellence (CS/EE/Math) or Management, Customer Focus Expertise in Data Science, Client, Weaving passion and energy Math at work


  • Using statistical techniques and data analysis software to identify patterns and trends in the data.
  • Identifying opportunities to improve business processes and outcomes based on the analysis of data.
  • Ensuring data accuracy, completeness, and consistency by performing quality control checks and data cleaning.
  • Developing and maintaining data models, databases, and other data management systems.
  • Should have strong analytical and problem-solving skills, as well as a deep understanding of statistical concepts and methods.
  • They should be proficient in data analysis software such as Python, R, or SAS, as well as data visualization tools like Tableau, Power BI, or Google Data Studio.

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