Strong experience in data management, data quality assurance, and health-program data systems.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
8–12 years of relevant experience in Data Analytics, Business Intelligence, Data Science, or a closely related field.
Proficiency in Excel, Python and SQL
Prior experience to work with large and complex datasets and undertake data cleaning, validation, transformation, and basic analysis.
Strong understanding of health information systems and routine program monitoring data.
Preferred experience
Knowledge of TB/NTEP and Nikshay will be highly preferred.
Qualification wording
Strong experience in data management, data quality assurance, and health-program data systems.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
8–12 years of relevant experience in Data Analytics, Business Intelligence, Data Science, or a closely related field.
Proficiency in Excel, Python and SQL
Prior experience to work with large and complex datasets and undertake data cleaning, validation, transformation, and basic analysis.
Strong understanding of health information systems and routine program monitoring data.
Knowledge of TB/NTEP and Nikshay will be highly preferred.
Education & alternatives
- Strong experience in data management, data quality assurance, and health-program data systems.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
- A Master’s degree in Data Analytics, Data Science, Statistics, Business Analytics, MBA, or a related field would be an advantage but should not be mandatory.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
- A Master’s degree in Data Analytics, Data Science, Statistics, Business Analytics, MBA, or a related field would be an advantage but should not be mandatory.
- Strong candidates from other disciplines can be considered if they have substantial hands-on experience in analytics and data-driven decision-making.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Excel
Where the posting names them
- Ideally 3+ years in a managerial/leadership capacity, managing analysts/data professionals and owning analytics projects end-to-end.
- Proficiency in Excel, Python and SQL
- Prior experience to work with large and complex datasets and undertake data cleaning, validation, transformation, and basic analysis.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
The Data Manager will be embedded within the Central TB Division (CTD) and will provide dedicated support for the management, quality assurance, analysis, and use of Nikshay and other NTEP data. The role will strengthen data quality, generate routine and ad-hoc analyses, support program monitoring and reviews, and enable data-driven decision-making.
Serve as the data-management focal point within the CTD and support NTEP teams in their routine data requirements.
Coordinate with relevant NTEP stakeholders for Nikshay data access, extraction, compilation, and preparation as per approved requirements.
Support CTD in maintaining and organizing datasets, data dictionaries, indicator definitions, and related documentation.
Support preparation of datasets and data summaries for CTD monitoring, review meetings, program planning, reporting, and decision-making.
Respond to routine data queries from CTD teams and support ad-hoc data requests.
Support govt. in generating and interpreting routine TB program indicators and trends.
Support preparation of tables, charts, dashboards, and presentations for reviews and reporting.
Maintain appropriate documentation of data requests, data sources, processing steps, and outputs.
Ensure that patient-level and other sensitive data are handled, stored, and shared in accordance with permissions and applicable data-governance and confidentiality requirements.
Liaise with relevant technical/data teams to troubleshoot data issues and facilitate timely resolution.
Requirements
Strong experience in data management, data quality assurance, and health-program data systems.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
A Master’s degree in Data Analytics, Data Science, Statistics, Business Analytics, MBA, or a related field would be an advantage but should not be mandatory.
Strong candidates from other disciplines can be considered if they have substantial hands-on experience in analytics and data-driven decision-making.
8–12 years of relevant experience in Data Analytics, Business Intelligence, Data Science, or a closely related field.
Ideally 3+ years in a managerial/leadership capacity, managing analysts/data professionals and owning analytics projects end-to-end.
Proficiency in Excel, Python and SQL
Prior experience to work with large and complex datasets and undertake data cleaning, validation, transformation, and basic analysis.
Strong understanding of health information systems and routine program monitoring data.
Knowledge of TB/NTEP and Nikshay will be highly preferred.
Ability to translate programmatic questions into data requirements and communicate data findings clearly to non-technical stakeholders.
Strong coordination and stakeholder-management skills, particularly in working with government counterparts.
High attention to detail and ability to manage multiple, time-sensitive data requests.
Understanding of data privacy, confidentiality, access controls, and responsible handling of patient-level data.
Experience working in a government technical support unit, or public health program will be an advantage.
Benefits
Wadhwani AI - Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.
Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System.
Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program
Mobility Benefits - Travel Policy, Relocation and Deputation benefits
Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.
We care deeply about the well-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our website www.wadhwaniai.org to learn more about our work on AI for Social Impact. These are just some of the reasons why working with us is more than just a job — it's a chance to grow, thrive and contribute to society.