Data Analyst

Responsibilities
• Data Collation: Organize, clean and catalog administrative datasets and help in building a repository/ hub for
modern data analysis. In certain cases, data will need to be extracted using API and other tools.
• Data Quality Assurance: Conduct data cleaning, validation, to ensure data accuracy, consistency, and integrity.
Apply quality control measures to improve data quality and resolve any discrepancies or anomalies.
• Data Analysis and Interpretation: Apply advanced statistical techniques and machine learning algorithms to analyse
large and complex datasets, extract meaningful statistics, and identify relevant trends and patterns.
• Data Visualization and Reporting: Present data and analysis through clear and appealing data visualizations,
reports, and dashboards to facilitate understanding and decision-making by stakeholders.
• Ethical Data Handling: Ensure compliance with data user agreements and guidelines, safeguarding the privacy and
confidentiality of sensitive data throughout the data lifecycle.
• Collaborate effectively with researchers, government officials, team members and other stakeholders
• Any other task as assigned by the line manager and/or the senior management of DPIC.

Qualifications Education
• A bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, Engineering and
Economics or a related field.

Experience
• Minimum 4 years of experience as a Data Analyst or Data Scientist, preferably within the development sector or
related fields including proven experience in collating and producing analytics using large administrative datasets.
Working with governments is a plus.

Competencies
• Ability to compile, clean, organize and harmonize large datasets and convert them into user-friendly formats.
• Experience of working with large datasets including administrative data and geospatial data
• Experience in data mining, web scraping, statistical analysis, and machine learning skills
• Proficient in programming languages such as Stata, Python or R, GIS tools for data analysis.
• Experience with data visualization tools such as Tableau, Power BI.
• Familiarity with cloud platforms and big data technologies (e.g., AWS) is desirable.
• Ability to work collaboratively in interdisciplinary teams and adapt to evolving project requirements.
• Passion for the development sector and a commitment to making a positive impact.
• Fluent in English (written and oral)
• Working knowledge of Oriya and /or Hindi

Working Conditions
Candidates must be legally authorized to work in India.

Location
Bhubaneswar, Odisha with occasional travel to field or Delhi.

Application Documents
Resume
Cover Letter
Three References