Data Engineer and Analytics Specialist at Victory Farms

Key Responsibilities:

Data Pipelines and Data Architecture


Design, build, and maintain data pipelines from ERP Next and related systems into the analytics warehouse (e.g., Snowflake).
Develop and maintain clean, well-documented data models including fact tables, dimensions and marts aligned to business reporting needs.
Ensure data accuracy, consistency, and historical integrity across all pipelines.
Monitor pipeline health and resolve data breaks, latency, or reconciliation issues.


Automation and Data Operations


Automate data ingestion, transformations, and refresh schedules across the stack.
Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches)
Automate recurring operational reports and refresh cycles for dashboards.
Reduce manual spreadsheet-based processes through scripted or scheduled workflows.
Maintain clear documentation of data sources, logic, and dependencies.


Analytics, Reporting and Business Insights


Develop and maintain Power BI dashboards and reports for finance, operations, HR and leadership.
Partner with business stakeholders to define KPIs, metrics, and reporting logic.
Translate ERP transactions into meaningful performance indicators and trends.
Support ad-hoc analysis, management reporting and executive decision-making.
Ensure reports are intuitive, trusted and aligned to a single source of truth.


Tools and Technologies


ERP & Source Systems: ERP Next and integrated operational systems.
Data Warehouse: Snowflake (or similar cloud data warehouse).
Analytics & BI: Power BI (DAX, data modeling, dashboards).
Data Transformation: SQL, scripted transformations, data modeling frameworks.
Automation & Scheduling: Scheduled jobs, APIs, connectors, or workflow tools.


Qualifications and Experience


Bachelor's degree in Data science, Statistics, Computer Science, or a related field
3+ years of experience in data modelling and 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.
Automation mindset with attention to data quality and reliability
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.
Proven track record of leading and delivering complex data analysis projects from inception to completion.
Ability to communicate clearly with both technical and non-technical stakeholders
Certification in Power BI, Snowflake, or related technologies is a plus.


Benefit:


Visibility into the world's fastest growing aquaculture company.
Ideal for a candidate looking to dive into a mission-oriented Organization.
The team is committed to the candidate's success and will provide coaching, mentorship, and unique exposure to people and experiences that come from the most successful leaders in the entrepreneurial community and the social sector.