HT Labs Hiring Drive 2024: HT Labs Hiring Drive 2024 for its Data Analyst – Python/SQL Server. HT Labs Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. if you are interested, please apply as soon as possible.
Company Name: HT Labs
Role: Data Analyst – Python/SQL Server
Location: Delhi
Experience: 1-2 years
Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
HT Labs Hiring Drive 2024
Job Description:
- HT Labs is seeking a highly skilled and motivated Data Analyst to join our dynamic data team.
- As a Data Analyst, you will play a pivotal role in gathering, analyzing, and interpreting data to provide valuable insights and support data-driven decision-making across the organization.
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 1-2 years of professional experience as a Data Analyst, preferably in
- Strong proficiency in MongoDB, BigQuery, Google Analytics, Python, and Data Studio, with a deep understanding of their features and functionalities.
- Experience with data extraction, transformation, and loading (ETL) processes and tools.
- Proficient in SQL and comfortable working with large, complex datasets.
- Solid understanding of statistical analysis, data mining techniques, and data visualization principles.
- Strong problem-solving skills and the ability to derive actionable insights
Responsibility:
- Collaborate with cross-functional teams to identify and understand key business objectives and data requirements.
- Collect, clean, and validate large datasets from multiple sources, ensuring data accuracy and integrity.
- Develop and maintain data pipelines and workflows to extract, transform, and load data into various systems and databases.
- Utilize Google Analytics to track and monitor website and app performance, and provide recommendations for optimization.
- Develop and maintain dashboards and visualizations using Data Studio, providing clear and concise data summaries to stakeholders.
- Perform complex data analysis using Python or other scripting languages to uncover patterns, trends, and insights.
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