Data Analyst

Location: Florida, Miami (2 - 3 days in office) Position: Data Analyst Department: Corporate Data & Analytics, Data Quality Join an expansive and ambitious Data & Analytics team, helping to continue to expand a large, Privately Equity owned international company. My Client is a leading distributor of foodservice packaging, industrial packaging and facilities maintenance supplies . As a provider of customized supply chain solutions, the company serves customers in many B2B market segments including supermarkets, grocers, healthcare, education, and restaurants. Position Summary We’re looking for a Data Analyst to join our Data & Analytics Quality group. In this role, you’ll work with information originating from dozens of ERP platforms, turning complex and inconsistent raw inputs into reliable, production-ready datasets. Your contributions will accelerate the organization’s ability to make informed, data-driven decisions. Key Responsibilities • Investigate datasets using statistical and exploratory techniques to reveal trends, patterns, and opportunities. • Manage the full data preparation lifecycle: sourcing, cleaning, structuring, and standardizing information from varied systems. • Design, refine, and support Python-based tools, scripts, and analytical models for ongoing data operations. • Set up and maintain lightweight CI/CD processes to automate recurring analytics tasks and reporting jobs. • Use Git-based workflows to track changes and collaborate with peers on shared codebases. • Partner with internal stakeholders to interpret business needs and translate them into data solutions. • Present findings through visually compelling dashboards, written analysis, and oral briefings. • Assist with deploying analytical models and data transformations into production environments. • Normalize, map, and convert incoming datasets to common formats despite significant variation between sources. • Validate and consolidate acquisition-derived data prior to integrating it into central databases. Required Qualifications • 4–5 years of experience in a data-focused or analytics-oriented role. • Strong hands-on skill with Python and common data analysis libraries (e.g., Pandas, NumPy, Scikit-learn). • Ability to work confidently with structured and semi-structured data, including data cleansing and manipulation. • Working knowledge of SQL and relational database concepts. • Experience using Git for code versioning, collaboration, and workflow management. • Understanding of the fundamentals of automated pipelines or CI/CD processes. • Strong analytical thinking with a methodical approach to solving problems. • Clear communication skills suitable for both technical and business audiences. • Collaborative attitude and willingness to continually learn new tools and techniques. Preferred Qualifications • Familiarity with cloud ecosystems such as AWS, Azure, or Google Cloud. • Experience with workflow or orchestration tools (e.g., Airflow, Prefect). • Understanding of API-based data exchange and integration workflows. • Exposure to containerization technologies like Docker and general DevOps practices.