Job opening

Posting Title:Data Analyst
Job Location: Odisha, India
Skill Required: Research And Analysis,
Preferred Experience: Above 3 Years
Closing Date for Applications: 30th Sep, 2022

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Job Description:

WorldFish seeks to hire a dynamic and highly qualified Data Analyst Consultant to coordinate the development and implementation of work package 1 (AquaData) of the CGIAR initiative Resilient Aquatic Food Systems for Healthy People and Planet (RAqFS). The Data Analyst Consultant will work in close collaboration with relevant scientists, members, and stakeholders interested in the implementation of the AquaData activities.

The Consultant will provide support and technical assistance to plan, design, and inform the deployment of robust data systems needed to support RAqFS implementation, research, and strategic objectives. The Consultant will also work with other initiative teams mostly in India and Bangladesh in developing data plans and baselines, strategic documents, and field activities. S/he will support the adaptation and development of data collection systems, methods and data analysis tools to support research in aquatic food systems.

  • Data Analyst supports the design and implementation of the AquaData research activities in India and Bangladesh and ensures these are well integrated with partner priorities and other national initiatives.
  • Data Analyst supports data collection and analysis in India and Bangladesh.
  • Communicate AquaData research findings to key stakeholders and policymakers for scaling and uptake of the work package innovations.
  • Data Analyst contributes to the delivery of supporting outputs: policy briefs, policy, and institutional analysis, and research articles.
  • Assist and coordinate research data collection work at WorldFish through mobile technologies implementation (i.e. ODK and KoBo Toolbox).
  • Collaborate and integrate with scientists for database development, data validation, data cleaning, and data quality checks (STATA/ SPSS and Ms. Excel) in support of WorldFish research.
  • Support others in the daily use of data systems and ensure adherence to legal and company standards.
  • Organize training programs for WorldFish and Initiative staff and partners on data collection, curation, data quality, archiving & sharing.
  • Communicating data to management as requested/ needed on knowledge products: e.g quarterly performance, annual report, open access & ISI journal, etc.
  • Any other task stated by the supervisor.
  • Master’s Degree in Computer Science, Statistics, Information Science, Social Science, Biometrics, or Informatics.
  • Demonstrated background in developing and implementing initiatives related to open access and/or open data preferred.
  • At least 3 years of relevant experience working in the design and delivery of knowledge management, information management, or data management programs and services, including several years developing and executing strategic initiatives, preferably within a research organization or international NGO.
  • Comprehensive understanding of data management issues including data collection, data analysis, data integration, long-term data storage and preservation, data quality, and publicly disseminating data.
  • Knowledge of statistics and usage of statistical software such as STATA, R, and SPSS.
  • Experience with mobile data collection tools such as Open Data Kit (ODK) and/or KoBoToolbox, including coding experience.
  • Skilled in various sources of data visualization tools and platforms such as Joomla, Python, D3, PowBI, Google Colab, etc.
  • Experience with management and curation of biological and social science data.
  • Basic application of GIS and GIS methodologies.
  • Logical thinking, strong analytical and mathematical skills, with excellent attention to detail.
  • Proficient in the English language – both written and verbal.
  • Understanding of data management issues including mobile data collection, data analysis, data integration, long-term data storage and preservation, data quality, and publicly-disseminating datasets.



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