Data Analyst and 1 Other Post in Digital India Corporation via Direct Recruitment
Event Status : Created Event
Timeline
Important Dates
Application Closing Date | 05/12/2023 |
Application Opening Date | 17/11/2023 |
Other Important Information
Appointment Type | Direct Recruitment |
Application Submission Method | Online |
Qualification Required | Graduate, Postgraduate |
Total Vacancies | 60 |
Advertisement Number | ET/7/2023-ET |
Location of Posting/Admission | New Delhi, Delhi, India, 110011 |
Interview | Yes |
Post Type | Contractual |
Work Experience | Yes |
Website | https://dic.gov.in/ |
Organisation Type | Non-Educational Institution |
Place of Posting/Admission | New Delhi, Delhi, India |
Application Link | https://ora.digitalindiacorporation.in/ |
Note: This information is common for all posts. For details on specific posts, refer to the official notification.
Posts Released
Important Updates
Refer to the official notification for more details.
Application Summary
Digital India Corporation invites applications for the following posts via direct recruitment:
Post Name: Data Analyst
Essential Qualification:
Bachelors degree in computer science, mathematics, economics, statistics or related fields from a recognized university/institute;
Certifications in data analytics, data science, data/information management are preferred from recognized university/institute
Desirable:
2-3 years of data management and analysis experience, preferably in software or technology industry;
Familiar with cleaning, coding, merging, and analyzing large and complex quantitative data files in Python, R;
Detail-oriented with a focus on data quality and accuracy;
Strong analytical and problem-solving skills;
Strong experience in building complex SQL queries and schema building Advanced Excel/Google Sheets & Macros knowledge.
Post Name: Data Scientist
Essential Qualification:
B.E / B.Tech / BCA, and;
Post-graduation in Data Science, Statistics, Mathematics or other quantitative field or equivalent technical qualification including professional certification from recognised university/institute;
Desirable:
5-7 years of experience in data warehousing, database management and end-to-end data architecture management;
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks;
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS);
Experience working with and creating data architectures;
Two or more years of project management experience;
Ability to work effectively in a government setting that has several concurrent projects;
Excellent written and verbal communication skills for coordinating across internal and external stakeholders;
Detail-oriented with a focus on quality and accuracy;
Ability to break down the complexity of the technical problem and provide solutions;
Ability to bridge the gap amongst all technical and non-technical stakeholders.
For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.