Top Data & Analytics Jobs in Cleveland, OH

Own and improve Life360’s Ads Data Engineering platform on Databricks. Build, operate, and optimize batch and streaming pipelines, Delta Lake tables, dbt models, semantic layers, and core metrics. Integrate advertising and business data, implement quality and governance controls, manage AWS infrastructure with Terraform, reduce compute costs, and mentor engineers. Partner with analysts, ad strategists, and sales teams to deliver trusted data products while developing AI-assisted engineering tools and workflows.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Analyze lifecycle marketing performance, develop measurement and attribution frameworks, optimize campaigns and customer journeys, and connect marketing activity to product and business outcomes. Partner with marketing, product, engineering, and data teams to improve analytics capabilities, use AI-powered techniques for predictive insights, and present recommendations to senior leadership.

Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kit’s sales data domain.

Build and maintain Power BI reports, dashboards, semantic models, and operational analyses for warehouse and eCommerce operations. Use DAX, Power Query, SQL, and data modeling to analyze productivity, labor, capacity, service, and performance drivers. Establish KPI definitions, validate data quality, automate reporting, monitor refreshes, and translate findings into recommendations. Partner with Operations, Finance, IT, and Data Engineering, document reporting processes, train users, and support business reviews.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Own the architecture, technical direction, reliability, and evolution of a shared cloud data platform. Lead hands-on development of streaming and batch pipelines using infrastructure-as-code, build governed analytical data products, and establish data contracts, quality, security, lineage, and observability standards. Serve as the final technical escalation point, mentor engineers, lead design and code reviews, promote responsible AI-assisted coding, respond to incidents, and communicate technical tradeoffs across stakeholders.

Build and maintain scalable data solutions in Palantir Foundry, including ontologies, data objects, pipelines, workflows, analytics, and AI/ML integrations. Translate stakeholder requirements into enterprise data and analytics solutions, manage schemas and governance, troubleshoot platform issues, document processes, and provide user training and support. The role supports FAA data modernization, platform adoption, and continuous improvement of Foundry applications and data models.

Lead the technical direction for audience data products and build high-volume pipelines for audience creation, partner data onboarding, identity mapping, and external data delivery. Mentor engineers, oversee design reviews and build-versus-buy decisions, and develop AI-enabled engineering tooling with appropriate guardrails. Collaborate with data science, product, engineering, and external partners.