Top Data & Analytics Jobs in Cleveland, OH

Develops business intelligence reports, visualizations, and application scripts using data from multiple sources. Gathers requirements, presents solutions, conducts user testing, validates data integrity, supports BI tool users, and identifies opportunities to improve analytics processes. The role collaborates with internal and external stakeholders and adapts reporting solutions to evolving business needs.

Designs, builds, and operates scalable batch and streaming lakehouse pipelines using Databricks, Spark, PySpark, Delta Lake, and Unity Catalog. Responsibilities include data ingestion, transformation, governance, orchestration, performance optimization, CI/CD integration, monitoring, data quality, and documentation. The role supports analytics, machine learning, anomaly detection, fraud analytics, and risk scoring while collaborating with technical stakeholders and Agile teams. A Public Trust determination is required.

Supports healthcare implementation projects, business workflow documentation, process improvement, work plans, and deliverables. Reviews large datasets from multiple sources to identify outliers, monitor trends, and prepare state-mandated reports. The internship provides experiential learning for undergraduate students interested in healthcare or data analytics.

Leads marketing measurement strategy, including attribution, marketing mix modeling, incrementality studies, experimental design, KPI frameworks, and test-and-learn standards. Builds models and translates statistical findings into budget and investment recommendations for leadership. Oversees measurement tracking, validates media performance, ensures MarTech and CRM tracking integrity, coaches measurement teams, and delivers executive readouts to guide marketing and financial planning.

Ensures data across Snowflake platforms, ingestion pipelines, dynamic tables, and client reports is accurate, complete, timely, and trustworthy. Defines quality rules, monitors observability alerts, investigates anomalies, reconciles metrics, validates pipelines and onboarding data, maintains data documentation, and builds quality dashboards. Partners with engineering, product, customer success, and metric owners to resolve root causes, improve data contracts, and support compliance, audit, PII, PCI, and governance requirements.

Supports Airbnb’s Finance Data Science & Strategy team by analyzing business performance against forecasts, identifying performance drivers, and improving forecasting models. Responsibilities include conducting comprehensive analyses, collaborating with data scientists, communicating findings to Finance and business stakeholders, completing a capstone project, and participating in team projects and reviews.

Leads a small data engineering team while contributing hands-on development. Responsibilities include designing and maintaining dbt and Python ETL pipelines, managing data quality and UAT, coordinating implementation timelines, conducting code reviews, mentoring engineers, documenting systems, and supporting project delivery. The role also involves building and deploying AI agents for data quality, pipeline monitoring, and analytics workflows, with a focus on healthcare claims data and large-scale datasets.

Architect and govern shared analytics infrastructure, data models, semantic layers, business metrics, and self-service BI capabilities. Establish standards for datasets, documentation, testing, and reporting tiers while partnering with Data Engineering, Data Science, Analytics, and business leaders. Own data and BI issues, optimize warehouse performance and costs, and coach practitioners on dimensional modeling and analytics practices.

Own the data layer for an AI-native retirement platform, including dbt models, marts, semantic layers, MCP connectors, data governance, product analytics, dashboards, and business metrics. Partner with engineering on warehouse architecture and data contracts while enabling teams and AI agents to securely access trusted data. Serve as the company’s primary data expert across product, servicing, go-to-market, and leadership functions.

Develop and operate cloud-based data pipelines, dimensional data models, data warehouse solutions, CI/CD automation, and platform governance controls. The role integrates APIs and diverse data sources while supporting security, monitoring, incident response, and reliable data product delivery. Responsibilities include collaborating with product owners and engineering teams, participating in design and code reviews, troubleshooting technical issues, and applying repeatable DevOps practices.