Job Location: Delhi / NCR

Background

• Looking for a proactive and experienced Data analyst with strong communication skills who can develop and build a data flow platform capable of supporting a diversity of tasks within a dynamic and innovative organisation.

• This opportunity offers full ownership and engagement in a start-up setting. If youre energized by the challenge of changing how organic cotton is produced, distributed, and consumed on a global scale – then share your profile.

Roles and Responsibilities

• Work in close collaboration with Amsterdam based data colleague and the team in India.
• Own the FED data flow and provision.
• Collaborate with IPs and Third party to build one validation data set. Agree and monitor data input and update frequency.
• Develop collaboration and working frequency with Amsterdam.
• Provide external stakeholders with ad-hoc project data sets when needed.
• Co-Own the end-to-end data environment (processes, data base and reporting)
• Managing and optimising data capturing, transfer, delivery and analysis .
• Will work closely with the Programme Team and Director in Amsterdam Netherlands.
• Maintain and implements master data management processes, including classification, security, quality, ethical principles, retrieval, and retention processes.
• Establish data dictionary definitions, governance practices and standards, partnering with security architects to ensure compliance with data security and privacy mandates.
• Conduct complex data analysis and report on results
• Build prototypes for data exploration and explore ways to enhance data quality and reliability

Desired Candidate Profile

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or related quantitative field.
• Strong proficiency in Microsoft Office, with Advanced Developer level for Microsoft Excel.
• Previous experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Python)
• Hands-on experience with SQL database design or open source ETL tools
• Great numerical and analytical skills
• Data engineering certification is a plus
• Reporting exposure

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