Top Remote Analysis Reporting Jobs in Wichita, KS

Lead data engineering and governance efforts for the SHARP system by analyzing business requirements, designing solutions, documenting user needs, implementing master/reference data and data quality rules using Informatica tools, and collaborating across organizational units to improve systems and reporting.

Design, build, and optimize scalable ETL/ELT data pipelines using Databricks and cloud platforms. Implement data quality checks, monitor and troubleshoot jobs, audit pipelines for compliance, and collaborate with analysts and business stakeholders to define data models and support reporting.

Analyze, trace, reconcile, and migrate insurance policy data from legacy systems into a modern policy platform. Build source-to-target mappings and ETL transformations, perform data cleansing and validation, write complex SQL, use cloud databases (AWS RDS/S3), and collaborate with stakeholders using GitHub and Agile tools. Heavy daily use of AI tooling; mentorship provided throughout migration lifecycle.

Lead Salesforce administration and data quality efforts, manage data model transformations and integrations (FormAssembly, WordPress), handle support tickets and training, create documentation and user enablement, oversee external data collection processes, and collaborate with internal teams and external consultants to build a data-driven culture.

Design, build, and maintain Scala-based ETL and streaming data pipelines, APIs, and data microservices in Azure. Optimize LLM fine-tuning and RAG workflows, support DevOps/CI-CD practices, document standards, mentor engineers, and manage data ingestion frameworks for analytics and partner integrations.

Design, build, and maintain data pipelines and backend systems to automate reporting and support cross-functional teams. Own project prioritization, collaborate with stakeholders (Accounting, Finance, Supply Chain, Publishing), and iterate to improve cost, reliability, and access to data across the organization.

Lead advanced analytics and informatics work to develop predictive models, optimize programs, and build financial/operational models. Translate complex data into actionable insights for stakeholders and senior leadership, influence departmental strategy, and independently design analytical approaches to improve consumer/member experiences and drive measurable business outcomes.

Collect, cleanse, and analyze finance-related data; design and maintain Power BI dashboards and reporting environment; ensure data quality and master data management; support data warehouse and reporting requirements; automate processes using Power Automate and AI tools; collaborate with finance and cross-functional teams to deliver actionable insights and troubleshoot reporting issues.

Partner with Product and Engineering to turn product data into insights: define AI/agent metrics, design and analyze experiments, build dashboards and reports, perform cohort and behavioral analysis, surface opportunities, and guide product decisions with measurement and instrumentation improvements.

Run funnel audits and synthesize multiple datasets into exec-ready narratives. Recommend and help launch A/B tests, benchmark against genres and market data, partner with game analysts and ETL engineers to validate and maintain clean data, and provide actionable UA, monetization, and live-ops recommendations to customers.