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.
Requirements:
- 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.
Responsibility:
- 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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