Flexinglt Hiring Drive 2024 For Consultant – Research and Data Analysis

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Flexinglt Hiring Drive 2024: Flexinglt Hiring Drive 2024 for its Consultant – Research and Data Analysis. Flexinglt Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Statistics, Mathematics, or Economics. if you are interested, please apply as soon as possible.

Company Name: Flexinglt

Role: Consultant – Research and Data Analysis

Location: Across India

Experience: 1-3 years 

Qualification: bachelor’s degree in Statistics, Mathematics, or Economics

Batch: Any

Job Type: Full Time

Salary: 4.4 LPA (Expected)

Flexinglt Hiring Drive 2024 

Job Description:

  • Our client, a Provider of Market Intelligence Technology Tools, is seeking a highly skilled and motivated individual to join the Data Science team as a Consultant – Research and Data Analysis.
  • The successful candidate will play a crucial role in supporting core data updates for multiple countries through extensive data analysis and research.


  • Education: Minimum of a bachelor’s degree in Statistics, Mathematics, or Economics.
  • Experience: 1-3 years of relevant industry experience.
  • Technical Skills:
  • Expertise in at least one of the following statistical analysis programs: R, Python.
  • Good knowledge of a querying language (e.g., SQL).
  • Strong proficiency in advanced functions of Microsoft Excel (lookups, pivot tables, graphics, statistics).
  • Communication Skills: Excellent oral and written communication skills, with the ability to effectively communicate in cross-functional teams.
  • Attention to Detail: Meticulous approach and commitment to delivering high-quality results.


  • Analysis of Large Data Sets: Conduct in-depth analysis of large datasets to extract actionable insights for model development.
  • Data Transformation: Utilize analytical frameworks to process raw talent supply data, transforming it into usable input data through exploratory data analysis.
  • Problem Dissection: Employ secondary research and data analysis skills, inductive and deductive reasoning, abstract thinking, and root-cause analysis to dissect complex problems.
  • Automation: Contribute to the automation of manual data update processes by developing robust, sustainable, and reusable techniques.

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