SuperDNA 3D Lab Hiring Drive 2024 For Data Analyst | Location Chandigarh

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SuperDNA 3D Lab Hiring Drive 2024: SuperDNA 3D Lab Hiring Drive 2024 for its Data Analyst. SuperDNA 3D Lab Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: SuperDNA 3D Lab

Role: Data Analyst

Location: Chandigarh

Experience: 1 to 3 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 4.9 To 5.9 LPA (Expected)

SuperDNA 3D Lab Hiring Drive 2024


  • Knowledge of programming language
  • Must have good analytical skills, logical ability, and Reasoning skills
  • Must have experience in Advance Excel and Google spreadsheets
  • Good to have knowledge of Google Cloud platform and Data Studio.
  • Any Data Visualization Tool (Power BI/Tableau) Will be a plus.


  • Using automated tools to extract data from primary and secondary sources
  • Removing corrupted data and fixing coding errors and related problems
  • Developing and maintaining databases, data systems – reorganizing data in a readable format
  • Performing analysis to assess quality and meaning of data
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Analyzing National, and global trends that impact both the organization and the industry
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Working with 3D Technical leads, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

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