ProMobi Technologies Hiring Drive 2024 For Data Analyst | Location Pune

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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)


  • 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).


  • 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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