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.
Requirements:
- 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.
Responsibility:
- 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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