Data Analyst

About the Role
We are seeking a data-focused professional with strong experience in data engineering, analytics, and business process support. This role is responsible for transforming complex and unstructured data into actionable insights, building scalable data pipelines, supporting dashboard development, and collaborating with technical and business stakeholders to improve decision-making. The ideal candidate will have expertise in Python, AWS, SQL, data integration, and modern analytics platforms.

Key Responsibilities

• Develop, maintain, and optimize end-to-end data processing and integration workflows.
• Design and implement deterministic ETL pipelines using Python and cloud technologies.
• Clean, transform, validate, and integrate structured and unstructured data sources.
• Build and maintain data models to support entity resolution and record linking initiatives.
• Perform statistical analysis and predictive data assessments to support business decisions.
• Develop dashboards and analytical reports using Tableau and related reporting tools.
• Utilize AWS services such as S3, Lambda, and boto3 for data processing and automation.
• Collaborate with data scientists, software developers, and business stakeholders to define requirements and desired outcomes.
• Support API development and integration efforts using frameworks such as FastAPI.
• Maintain data quality, data governance, and system accuracy standards.
• Track project progress, supplier deliverables, and operational metrics.
• Support leadership reporting, issue resolution, and continuous process improvement initiatives.

Must-Have Qualifications

• Strong Python (3.10+) development experience in production environments.
• Experience building ETL pipelines, automation workflows, and data validation processes.
• Hands-on experience with AWS services including S3, Lambda, and boto3.
• Strong SQL development skills.
• Experience with data cleaning, transformation, and integration.
• Experience processing and extracting data from documents and unstructured sources.
• Data modeling experience, including entity linking, key design, and dataset integration.
• Experience with Tableau dashboard development and reporting.
• Experience working with Databricks.
• Experience developing APIs using FastAPI or similar frameworks.
• Ability to work cross-functionally with business and technical teams.

Nice-to-Have Qualifications

• React or other frontend development experience.
• API integration experience.
• Experience creating stored procedures.
• Experience with Tableau Prep and/or Alteryx.
• Experience with SSO implementation and authentication integrations.
• Exposure to supply chain management systems and sourcing processes.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.