Data Analyst

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About the Organization

The University of Chicago Trust (the Trust) is a charitable trust in India, established in 2008 by alumnus of The University of Chicago. The objectives of the Trust’s objectives are to provide opportunities for grants to support educational programs, research programs and activities for the betterment of India.

Job Description

University of Chicago Trust DPIC India is seeking a full-time Data Analyst who will be responsible for analyzing large administrative datasets, extract meaningful statistics and analytical insights, and communicate them through visually compelling infographics. The candidate’s work will play a crucial role in transforming raw data into actionable insights for evidence-based decision making in the state of Odisha.

Job Responsibilities

• Data Analysis: Apply advanced statistical techniques and machine learning algorithms to analyse large and complex datasets, extract meaningful statistics, and identify relevant trends and patterns.
• Data Quality Assurance: Conduct data cleaning and validation to ensure data accuracy, consistency, and integrity.
• Apply quality control measures to improve data quality and resolve any discrepancies or anomalies.
• Data Visualization: Present data and analysis through clear and appealing data visualizations, and dashboards to facilitate understanding and decision-making by stakeholders.
• Report Writing: Craft clear messages and support publication of policy briefs, blogs
• Collaborate effectively with researchers, government officials, team members and other stakeholders
• Any other task assigned by the line manager and/or the senior management of DPIC
• Ethical Data Handling: Ensure compliance with data user agreements and guidelines, safeguarding the privacy and confidentiality of sensitive data throughout the data lifecycle.

Education Qualification/Required Skills & Experience

• A master’s degree in Data Science, Statistics, Economics, Computational Analysis or related field

Experience

• 3-4 years of experience as a Data Analyst or Data Scientist.

Competencies

• Experience of working with large datasets including administrative data and geospatial data
• Proficiency in statistical techniques and programming languages such as Stata, Python or R, GIS tools for data analysis.
• Ability to compile, clean, organize and harmonize large datasets and convert them into user-friendly formats.
• Experience with data visualization tools such as Tableau and Power BI.
• Strong writing skills
• 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.
• Excellent communication and presentation skills
• Fluent in English (written and oral)

Interested candidates can apply using this link.

For more information please check the Link

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