Top Remote Data & Analytics Jobs in Dayton, OH

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Work with public safety agencies to ensure NIBRS compliance by analyzing incident and records data, identifying/reporting issues, implementing state-specific reporting solutions in the Mark43 platform, and collaborating with cross-functional teams to improve data quality and customer outcomes.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

Lead design and implementation of large-scale data platforms and pipelines using Redshift, ADF, Hadoop/Hive, Spark/Scala, Snowflake, Databricks, and GCP. Drive architecture decisions, performance tuning, and best practices for big data processing and storage.

Analyze and combine disparate marketing and analytics data, create reproducible reports and visualizations, collaborate with data engineers/scientists and stakeholders, derive insights and recommendations for clients, and improve reporting templates and workflows.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

Produce and validate default reporting and analytics for mortgage servicing portfolios. Investigate data discrepancies, perform root-cause analysis, modify reports for ad-hoc needs, document processes, and collaborate with default management to ensure regulatory and investor-compliant reporting.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.