Accopixel Technologies Hiring Drive 2024: Accopixel Technologies Hiring Drive 2024 for its Data Analyst Analytics. Accopixel Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). if you are interested, please apply as soon as possible.
Company Name: Accopixel Technologies
Role: Data Analyst Analytics
Location: Remote
Experience: 0 – 1 years
Qualification: Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science)
Batch: Any
Job Type: Full Time
Salary: INR 400,000 – 500,000
Accopixel Technologies Hiring Drive 2024
Job Description:
- The Data Analyst Analytics Freshe plays a critical role in the organization’s data-driven decision-making process.
- They are responsible for analyzing and interpreting complex data sets to provide actionable insights and recommendations to improve business processes and performance.
Requirements:
- Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science)
- Strong analytical and problem-solving skills
- Proficiency in SQL for data querying and manipulation
- Experience with statistical analysis and modeling
- Proficiency in data visualization tools (e.g., Tableau, Power BI)
- Understanding of database management and data warehousing
- Ability to write and optimize code in languages such as Python or R
- Knowledge of machine learning and predictive modeling techniques
- Strong communication and presentation skills to convey complex findings
- Ability to work independently and in a team environment
Responsibility:
- Collecting and interpreting data from multiple sources
- Performing statistical analysis to identify trends and patterns
- Developing and maintaining databases and data systems
- Creating and presenting reports and visualization of data findings
- Identifying and implementing process improvements
- Collaborating with cross-functional teams to understand business needs
- Using programming languages (e.g., Python, R) to manipulate and analyze data
- Conducting A/B testing and statistical analysis to drive decision-making
- Participating in data quality improvement initiatives
- Providing ad-hoc analysis as requested
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