Kore1
Overview KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Analyst in Miami, Florida. We are seeking a Data Analyst to join our team on-site, supporting both of our South Florida locations. This is a hands-on role that combines technical skill with business acumen. You will work directly with raw datasets, write SQL and Python queries, and provide reporting and dashboards that guide decision-making across operations, finance, compliance, and leadership.
Responsibilities Data Stewardship and Governance: Develop and maintain data dictionaries, lineage documentation, and clear definitions across the organization.
Safeguard data integrity, consistency, and audit readiness.
Ensure all reporting is trusted and aligned to business rules and compliance needs.
Data Collection and Integration: Acquire, validate, and consolidate data from multiple systems and sources.
Establish repeatable processes for ingesting and standardizing new data streams.
Guide the deployment of AI and agentic workflows: Collaborate with technical teams to ensure pipelines, security, and access controls are in place.
Data Cleaning and Preparation: Process raw data to resolve missing values, duplicates, and inconsistencies.
Build and maintain queries and scripts to transform datasets for reporting.
Document workflows to make data preparation transparent and repeatable.
Analysis and Insight Generation: Apply SQL, Python, and statistical techniques to large, complex datasets.
Identify trends, anomalies, and performance drivers that support decision-making.
Perform reconciliations between operational and financial data to surface mismatches and improve accuracy.
Visualization and Reporting: Build dashboards, scorecards, and reports that make complex data easy to interpret.
Deliver real-time operational insights and executive-level summaries.
Ensure all visualizations are aligned with business priorities and accessible to stakeholders.
Cross-Functional Collaboration: Partner with operations, finance, compliance, and technology to define data requirements.
Translate business problems into clear technical data solutions.
Present findings to both technical and non-technical audiences in a way that drives action.
Continuous Improvement and Problem Solving: Proactively identify opportunities to improve data workflows and reduce manual effort.
Recommend and implement scalable solutions that strengthen efficiency.
Support forecasting and scenario planning to inform resource allocation and growth strategies.
Qualifications Proficiency in SQL with experience querying and manipulating large datasets.
Strong skills in Python or R for analysis, automation, and data preparation.
Experience with BI tools such as Tableau, QuickSight, Superset or Looker.
Familiarity with data pipeline tooling, such as Spark, Nifi, Airflow and Databricks
Advanced Excel and Google Sheets expertise for quick-turn reporting.
Strong foundation in statistics, analytics, and critical thinking.
Ability to clearly present findings to audiences of varying technical levels.
Experience with data stewardship, governance, or compliance frameworks preferred.
Background in healthcare, pharmacy, or another regulated industry is a plus.
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