Digital Glyde Hiring Drive 2024 For Data Analyst

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Digital Glyde Hiring Drive 2024: Digital Glyde Hiring Drive 2024 for its Data Analyst. Digital Glyde Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree in a quantitative field. if you are interested, please apply as soon as possible.

Company Name: Digital Glyde

Role: Data Analyst

Location: Across India

Experience: 0 – 3 years

Qualification: Bachelor s degree in a quantitative field

Batch: Any

Job Type: Full Time

Salary: 6.6 LPA (Expected)

Digital Glyde Hiring Drive 2024

Job Description:

  • We re seeking a motivated Data Analyst to join our data-driven team.
  • You ll play a vital role in extracting meaningful insights from our data, helping to shape strategic decisions and inform business actions.
  • Your expertise in Excel and data analysis will be essential as you explore, organize, and present data to drive informed decision-making across the organization.


  • Bachelor s degree in a quantitative field (e.g., Statistics, Mathematics, Economics) or relevant experience.
  • 0-3 years of experience in data analysis or a related field.
  • Expert-level proficiency in Microsoft Excel, including advanced functions, pivot tables, and data manipulation techniques.
  • Familiarity with Power BI or other data visualization tools.
  • Understanding of data integration and migration principles.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
  • Experience with SQL or other query languages.
  • Knowledge of statistical analysis techniques.
  • Familiarity with Python or R for data analysis is a plus.


  • Gather, cleanse, and organize data from multiple sources, including databases, spreadsheets, and external systems.
  • Utilize your Excel skills to analyze data sets and identify patterns, trends, and anomalies.
  • Design and develop insightful reports, dashboards, and visualizations using Power BI or similar tools.
  • Collaborate with cross-functional teams to understand their data needs and deliver actionable recommendations.
  • Support data integration and migration projects, ensuring data integrity and consistency.
  • Proactively identify opportunities for data-driven improvements and optimization.

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