Top Data & Analytics Jobs in Cleveland, OH

Build and maintain connectors for Oracle B2C Service, SharePoint, OneDrive, Teams, and Sitecore. Develop an AWS ingestion pipeline that extracts, transforms, deduplicates, enriches, permission-tags, indexes, and retires content in S3 and Amazon Bedrock Knowledge Bases. Implement synchronization, throttling, retries, failure isolation, monitoring, inventory reporting, documentation, and client transition support.

Analyze user and customer behavior, develop segmentation, build dashboards, define organizational metrics, design experiments, investigate data issues, and deliver actionable insights. The role partners with marketing, sales, product, and UX teams to optimize engagement, conversion, growth, and strategic investments using analytics tools such as GA4 and Amplitude.

Design and maintain conceptual, logical, and physical data models for scalable data architectures. Implement Data Vault structures, including Hubs, Links, and Satellites, across enterprise data lakes and lakehouses. Deploy models using Azure data services, optimize performance, document data flows, and collaborate with engineers, scientists, analysts, and stakeholders. Apply data modeling best practices, integration techniques, security standards, and compliance requirements.

Analyze, optimize, and support CRM and service management systems, especially ServiceNow. Responsibilities include improving workflows, maintaining data quality, gathering requirements, developing reports and dashboards, troubleshooting issues, supporting integrations, training users, and testing enhancements. The role collaborates with Product, IT, and business teams to improve CRM functionality and adoption.

Own BookNook’s Snowflake data platform, including data modeling, access, cost, performance, pipelines, automation, and reporting. Build Python-based exports and state data feeds, develop BI dashboards, support privacy and security requirements, and deliver district, partner, executive, and research reporting. Lead data projects end to end, communicate findings to technical and nontechnical stakeholders, improve onboarding and data quality, and establish foundations for longitudinal student-outcomes research.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Build and maintain Snowflake transformation layers and Power BI semantic models supporting reporting, self-service analytics, and AI initiatives. Develop SQL and dbt transformations, apply data modeling and business rules, automate manual data processes, troubleshoot data quality issues, and coordinate data projects from requirements through delivery. Collaborate with IT, data warehouse teams, engineers, analysts, and business stakeholders while contributing to code reviews, testing, CI/CD, and documentation.

Leads enterprise analytics and strategy engagements that translate complex business questions into decision-ready insights. Partners with executives and cross-functional leaders to evaluate opportunities, define measurement frameworks, identify data needs, and support growth, transformation, and operational effectiveness. Directs a team of analysts, establishes analytics methodologies, develops talent, and influences enterprise strategy through rigorous analysis, business acumen, and consultative leadership.

Build and optimize production batch and streaming data pipelines on Databricks using PySpark, SQL, Spark, and Delta Lake. Responsibilities include implementing Medallion architecture, deploying cloud data resources, automating validation, tuning performance, structuring enterprise datasets, and troubleshooting production issues. The role requires end-to-end ownership of enterprise data platforms, legacy warehouse migrations, data modeling, CI/CD, DevOps, and client-facing collaboration.

Designs and executes Salesforce data migrations, including extracting, transforming, cleansing, mapping, loading, validating, and reconciling large datasets. Develops ETL workflows and Salesforce API integrations, supports testing and deployment, troubleshoots data issues, maintains performance and integrity, and documents migration processes. Collaborates with architects, developers, and stakeholders to deliver reliable data solutions.