ProMobi Technologies Hiring Drive 2024: ProMobi Technologies Hiring Drive 2024 for its Data Analyst. ProMobi Technologies 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: ProMobi Technologies
Role: Data Analyst
Location: Pune
Experience: 2-5 yrs
Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
Batch: Any
Job Type: Full Time
Salary: 4.8 To 8.5 LPA (Expected)
ProMobi Technologies Hiring Drive 2024
Job Description:
- As a Data Analyst, you will be responsible for interpreting data, analyzing results, and providing insights to support business decisions.
- We have a huge database with 10 yrs worth data across 8000 customers.
- We need to analyze this data and come up with useful solutions and reports for stakeholders and customers alike
- Experience: 2-5 yrs (Preferred B2B SAAS Company)
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Extensive hands-on experience with SQL programming and database management systems (DBMS).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Ability to work independently and collaborate effectively with team members.
- Experience with machine learning algorithms and techniques.
- Knowledge of data warehousing concepts and ETL processes.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Responsibility:
- Data Collection and Analysis:
- Collect, clean, and organize data from various sources.
- Analyze large datasets to identify trends, patterns, and correlations.
- Reporting and Visualization:
- Develop and maintain dashboards, reports, and visualizations to present insights.
- Communicate findings to stakeholders through clear and concise reports.
- Statistical Analysis:
- Apply statistical methods to analyze data and draw meaningful conclusions.
- Conduct hypothesis testing and predictive modeling as needed.
- Data Quality Assurance:
- Ensure data accuracy, completeness, and consistency.
- Identify and address data quality issues as they arise.
- Business Insights:
- Collaborate with business units to understand their analytical needs.
- Provide actionable insights and recommendations to support decision-making.
- Process Improvement:
- Identify opportunities to streamline data processes and improve efficiency.
- Work with cross-functional teams to implement process improvements.
- Tool and Technology Expertise:
- Stay up-to-date on data analytics tools and technologies.
- Recommend and implement tools to enhance data analysis capabilities.
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