Top Remote Analysis Reporting Jobs in Louisville, KY

As a Client Insights Lead, you will develop analytics strategies, connect cross-channel data, deliver actionable insights, and enhance client marketing decisions.

As a Client Insights Lead, you'll develop analytics strategies, connect data across channels, provide actionable recommendations, and enhance client marketing decisions with insights.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Data Migration Specialist will ensure successful data transitions from legacy systems, engage in ETL processes, and provide customer support throughout the migration journey.

The Proposals Pricing Analyst will conduct claims analysis and create deliverables to assist the sales team in demonstrating SmithRx's value. They will query large datasets, provide insights from historical data, and prepare client-ready reports while collaborating with internal teams.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

Lead legacy-to-SaaS data migrations: design and execute ETL, extract/transform/load data, validate integrity, map business workflows to target models, engage clients, document processes, support governance, and train stakeholders to ensure accurate, secure conversions.

Designs, builds, and maintains scalable ETL/ELT data pipelines and integrations. Profiles and cleanses data, creates mappings and SQL, documents metadata, monitors data quality, participates in code reviews, and collaborates with analytics, DBAs, and business partners to enable accurate analytics and data warehousing.

Lead development of scalable enterprise analytics and data stewardship. Perform advanced data analysis, assess data quality and lineage, define cleansing strategies, manage metadata and business glossary, support enterprise data warehouse and analytic product backlogs, and collaborate with cross-functional teams to enable self-service and advanced analytics.