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JOB DESCRIPTION
Join our Global Data & Analytics team and play a key role in scaling our data automation capabilities. As a Data Analyst & Python Automation Specialist, you will design and maintain automated data workflows, optimize data pipelines, and enable high-quality reporting across the organization. You will work with large datasets, streamline manual processes, and build scalable technical solutions using Python, SQL, and modern data tools.
This position is ideal for a technically driven analyst who enjoys building automation, improving data quality, and transforming complex datasets into reliable insights that support strategic decision-making.
Key Responsibilities
- Develop, maintain, and optimize automated data pipelines using Python, SQL, APIs, and Power Query.
- Build automation scripts to streamline ingestion, cleaning, transformation, and validation of large datasets.
- Implement workflow orchestration solutions to ensure reliability, version control, and error handling.
- Lead processes for data collection, QA/QC, and ingestion from internal and external systems.
- Ensure accuracy, completeness, and consistency of datasets used for reporting and analytics.
- Manage databases, data warehouses, and data models to support scalable analytics.
- Support global ESG and sustainability reporting—including regulatory frameworks and voluntary disclosures such as CDP, Ecovadis, CSRD, and TCFD.
- Manage databases and data warehouses; perform advanced data analysis and generate dashboards or reports that support key sustainability and operational decisions.
- Collaborate with cross-functional teams and regional stakeholders to understand data needs, streamline workflows, and automate manual reporting processes.
- Support responses to external stakeholder inquiries, benchmarks, and investor surveys related to Sysco’s sustainability performance.
- Assist in ad-hoc sustainability projects, tracking metrics and progress, and preparing materials for executive and board reporting.
- Bachelor’s degree (or equivalent experience) in Computer Science, Data Science, Engineering, Sustainability, or related field.
- 2+ years of experience in data automation, scripting (Python), SQL, and managing large datasets is required
- Strong proficiency in Python (Pandas, NumPy, ETL automation, scripting).
- Strong knowledge of data collection, QA/QC, ingestion, and reporting processes.
- Advanced proficiency in Microsoft Excel, Power Query, and PowerPoint.
- Excellent communication skills in English (B2+ or higher) and ability to collaborate across functions and geographies.
- Strong analytical mindset, attention to detail, and effective time management skills.
- Experience managing large datasets, multiple data sources, and structured/unstructured data.
- Strong knowledge of data collection, QA/QC, and reporting processes.
- Advanced skills in Microsoft Excel (Power Query, advanced formulas, automation).
Experience with Power BI, data visualization, or other analytics tools.
Understanding of sustainability certifications (e.g., MSC, Certified Humane, Fair Trade) or related frameworks.
- Familiarity with sustainability metrics, ESG reporting standards, and environmental data management.
- Hybrid work model (Ultra Park II Lagunilla, Heredia)
- Private Medical Insurance
- Asociacion Solidarista
- Life Insurance
- Personal Day Off
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
