Razormet Technologies Hiring Drive 2024: Razormet Technologies Hiring Drive 2024 for its Data Analyst Analysis Trainee. Razormet Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field. if you are interested, please apply as soon as possible.
Company Name: Razormet Technologies
Role: Data Analyst Analysis Trainee
Location: Remote
Experience: 0 – 1 years
Qualification: Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
Batch: New Batch
Job Type: Full Time
Salary: INR 400,000 – 500,000
Razormet Technologies Hiring Drive 2024
Requirements:
- Bachelors degree in Mathematics, Statistics, Economics, Computer Science, or a related field.
- Proven experience as a Data Analyst with a focus on data analytics.
- Strong proficiency in SQL, Python/R, Excel and data visualization tools (e.g., Tableau, Power BI).
- Experience with statistical software (e.g., SPSS, SAS) and machine learning techniques is a plus.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong communication and presentation skills to convey complex findings to non-technical stakeholders.
Responsibility:
- Utilize advanced data analysis techniques to interpret data sets and extract actionable insights.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Perform statistical analysis and predictive modeling to identify trends, patterns, and correlations that drive business outcomes.
- Design and execute A/B testing and other analytical experiments to support data-driven decision-making.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
- Prepare and present reports, dashboards, and visualizations that effectively communicate findings and recommendations.
- Identify opportunities for process improvement and propose innovative solutions based on data analysis.
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