Key Responsibilities:

Data Collection, Cleansing and Analysis

• Gather and consolidate data from various sources including production systems, environmental sensors, operational databases, spreadsheets, and APIs.
• Cleanse and preprocess data to ensure accuracy, completeness, and consistency.
• Identify and resolve any data quality issues or discrepancies.
• Conduct regular audits of data sources to ensure accuracy, completeness, and consistency of data.

Reporting and Performance Monitoring

• Design and develop comprehensive reports and dashboards to monitor key performance indicators (KPIs) related to sales, feed efficiency, water quality, etc.
• Customize reporting solutions to meet the specific needs of stakeholders.
• Utilize visualization tools such as Tableau, Power BI, or specialized visualization software to create interactive and dynamic reports.
• Automate reporting processes where possible to improve efficiency and provide timely insights to decision-makers.

Insights and Decision Support

• Analyze data to provide actionable insights and recommendations to improve operational efficiency.
• Work closely with business stakeholders and aquaculture teams to develop data driven strategies for production planning, stocking densities, etc.
• Conduct ad-hoc analysis and scenario modeling to evaluate the impact of different variables on performance and profitability.

Data Governance and Compliance

• Implement access controls and security measures to protect sensitive data and comply with regulatory requirements (e.g., GDPR, HIPAA).
• Develop and maintain documentation for data dictionaries, data lineage, and metadata to facilitate data governance and compliance efforts.

Collaboration and Stakeholder Engagement

• Partner with cross-functional teams and business stakeholders to understand their data analysis needs and requirements.
• Translate business questions into actionable insights and data-driven recommendations that drive strategic decision-making.

Qualifications & Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
• 2+ years of experience in data analysis, with a focus on visualization tools such as Power BI development and tabular data modeling.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
• Strong understanding of data governance principles, compliance requirements, and best practices.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.
• Proven track record of leading and delivering complex data analysis projects from inception to completion.
• Certification in Power BI or related technologies is a plus.

• Gather and consolidate data from various sources including production systems, environmental sensors, operational databases, spreadsheets, and APIs.
• Cleanse and preprocess data to ensure accuracy, completeness, and consistency.
• Identify and resolve any data quality issues or discrepancies.
• Conduct regular audits of data sources to ensure accuracy, completeness, and consistency of data.
• Design and develop comprehensive reports and dashboards to monitor key performance indicators (KPIs) related to sales, feed efficiency, water quality, etc.
• Customize reporting solutions to meet the specific needs of stakeholders.
• Utilize visualization tools such as Tableau, Power BI, or specialized visualization software to create interactive and dynamic reports.
• Automate reporting processes where possible to improve efficiency and provide timely insights to decision-makers.
• Analyze data to provide actionable insights and recommendations to improve operational efficiency.
• Work closely with business stakeholders and aquaculture teams to develop data driven strategies for production planning, stocking densities, etc.
• Conduct ad-hoc analysis and scenario modeling to evaluate the impact of different variables on performance and profitability.
• Implement access controls and security measures to protect sensitive data and comply with regulatory requirements (e.g., GDPR, HIPAA).
• Develop and maintain documentation for data dictionaries, data lineage, and metadata to facilitate data governance and compliance efforts.
• Partner with cross-functional teams and business stakeholders to understand their data analysis needs and requirements.
• Translate business questions into actionable insights and data-driven recommendations that drive strategic decision-making.

• Power BI development
• Tabular data modeling
• SQL
• Python
• R
• DAX
• Data governance principles
• Data analysis
• Problem-solving
• Attention to detail
• Communication skills
• Interpersonal skills

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
• 2+ years of experience in data analysis
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
• Strong understanding of data governance principles, compliance requirements, and best practices.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.
• Proven track record of leading and delivering complex data analysis projects from inception to completion.
• Certification in Power BI or related technologies is a plus.