Newsweek is hiring for a fresher entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• Newsweek

Location:

• India

Job type:

• Full-time

Job mode:

• Remote

Job requisition id:

• Not disclosed

Years of experience:

• 0 to 3 years (entry level to early career professionals can apply)

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Company description:

• Newsweek is a globally recognized media organization that has been active for over nine decades.

• The company reaches more than 100 million people each month across its print and digital platforms.

• It covers a wide variety of content including news, opinion pieces, photography, graphics, and videos.

• The company has its headquarters in New York City, with additional international editions serving regions across Europe, the Middle East, Africa, and Asia.

• Newsweek has maintained its reputation as a trusted source of information by delivering fact-based and thought-provoking journalism.

• Over the years, it has adapted to evolving media consumption habits while still upholding traditional journalistic standards.

• The organization has editions tailored for international audiences, including special English-language versions for the Middle East and localized editions in countries such as Japan, Korea, Latin America, Pakistan, Poland, and Serbia.

• Its core mission is to provide in-depth reporting and analysis of world events, helping readers navigate complex global developments with clarity.

• Newsweek continues to remain a leader in news and analysis, combining traditional media formats with modern digital-first strategies.

• The workplace culture values diversity, inclusivity, and respect while ensuring employees contribute to a collaborative and progressive environment.

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Profile overview:

• The role of a Data Analyst at Newsweek is centered on supporting its research and rankings initiatives, particularly in areas such as city rankings.

• A successful candidate will be responsible for collecting, transforming, and analyzing datasets from multiple domains like economics, environment, and surveys.

• The position demands technical skills in coding, data analysis, and database management along with strong problem-solving capabilities.

• The analyst is expected to build reliable databases and maintain master data management frameworks.

• Deliverables include producing cleaned datasets, structured tables, and technical documentation to support project transparency.

• The analyst will collaborate closely with researchers, project managers, and editorial teams, ensuring the insights generated are both technically accurate and accessible for broader audiences.

• This role involves constant interaction between quantitative research and qualitative editorial work, making communication skills critical.

• The analyst’s contribution will directly influence the credibility and reliability of published rankings and reports.

• Since the position is remote, the candidate must be able to manage responsibilities independently, demonstrate adaptability, and maintain consistent communication with stakeholders across geographies.

• This role also requires high attention to detail as the accuracy and quality of data serve as the foundation for editorial and strategic outputs.

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Key Responsibilities:

• Support the design and structuring of the rankings database to ensure scalability and transparency.

• Collect, load, clean, and analyze datasets from diverse categories such as economic indicators, environmental reports, and survey results.

• Use coding skills to transform raw data into usable formats within the rankings architecture.

• Filter and process large volumes of information to support ranking methodologies.

• Assist researchers and subject experts by providing quantitative insights during discussions and evaluations.

• Develop outputs such as visualizations, tables, and reports that can be used by editorial teams.

• Document every stage of the data management process for reproducibility and project transparency.

• Guarantee the quality and consistency of datasets across regions and sources.

• Deliver clean and structured data products, including ranking tables and corresponding code.

• Maintain close collaboration with team members including researchers, project managers, and editorial staff.

• Highlight risks or discrepancies in datasets and support project leads in mitigating them.

• Ensure final outputs align with the standards of accuracy, clarity, and editorial reliability.

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Main Deliverables:

• Comprehensive, cleaned datasets ready for ranking use.

• Structured ranking tables supported with relevant codebases.

• Complete documentation outlining data methodologies and processes.

• Clear visualizations and tables designed for editorial and reporting purposes.

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Collaboration & Integration:

• Work with researchers to validate datasets and integrate quantitative analysis with qualitative insights.

• Provide project managers with timely updates on risks, challenges, and progress.

• Partner with editorial teams to ensure that data findings are communicated clearly and effectively.

• Foster collaboration across research, analytics, and editorial functions to maintain alignment on project goals.

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Required Skills:

• Strong analytical mindset to evaluate and interpret datasets.

• Ability to detect data inconsistencies and address quality concerns.

• Proficiency in SQL, preferably within Postgres or similar relational databases.

• Coding skills in data science languages such as Python or R.

• Ability to communicate insights effectively to team members without a technical background.

• Capability to present results in an accessible manner for broader audiences.

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General Expectations:

• Adaptability to dynamic project requirements and evolving datasets.

• Proactive approach to problem-solving and project execution.

• Maintain open, timely, and clear communication with team members and stakeholders.

• Uphold strict standards of data integrity and transparency.

• Contribute positively to a collaborative and inclusive workplace culture.

• Work efficiently in a fully remote setting with independence and accountability.

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Qualifications:

• Background in data analysis, statistics, or a related field.

• Familiarity with datasets related to economics, environment, or survey-based information.

• Hands-on experience with SQL databases and data science coding practices.

• Demonstrated ability to prepare data for reporting and visualization.

• Strong communication skills for explaining technical details to non-technical colleagues.

• Ability to deliver well-documented and reproducible processes.

• A proactive learner open to new tools and methodologies.

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Additional info:

• The role offers the opportunity to work with a global media brand while being based in India.

• Employees at Newsweek benefit from exposure to international projects with high visibility.

• Diversity and inclusion are central to the company’s culture, offering equal opportunities for applicants of all backgrounds.

• The role is suited for those who want to apply their analytical skills to meaningful, real-world problems in media and research.

• Successful performance in this position could open pathways to more advanced roles within the organization.

• Newsweek encourages innovative thinking and values individuals who bring fresh perspectives to problem-solving.

• Flexibility in working remotely allows professionals to manage their work in a balanced and efficient manner.

• Employees are expected to align with Newsweek’s long-standing values of journalistic rigor, transparency, and global relevance.

Please click here to apply.