Top Remote Analysis Reporting Jobs in Des Moines, IA

Build and own production data pipelines using Snowflake, Airflow, dbt, and Python; implement canonical data models; embed validation, quality checks, lineage, freshness, and alerting; support governed self-service data delivery; migrate workloads; partner with business consumers; participate in on-call and incident reviews; and mentor engineers while maintaining strong testing, CI/CD, documentation, and code-review practices.

Supports incentive compensation programs for North American sales and marketing teams. Responsibilities include calculating monthly, quarterly, and annual payouts; managing Xactly; coordinating HR, SAP, finance, and sales inputs; forecasting accruals and payouts; producing performance reports; handling account assignments and ad hoc analysis; and improving and automating related systems and processes.

Supervise actuarial predictive modeling initiatives for insurance pricing, portfolio management, and planning. Collaborate with actuaries, data scientists, underwriters, and management to develop, validate, govern, and implement models. Establish assumptions, loss adjustments, usage guardrails, monitoring practices, and model documentation. Support regulatory filings, improve team workflows, contribute to strategic projects, and mentor staff in actuarial and technical skills.

Build and operate production-grade data pipelines, models, and reusable frameworks for a Databricks lakehouse on AWS. Develop ingestion from SaaS, CRM, support, and relational systems; implement medallion architecture, data quality, governance, security, observability, and cost optimization. Support BI and AI/ML workloads, troubleshoot incidents, deliver initiatives end-to-end, contribute to platform standards, and mentor data engineers and developers.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Lead database design, modeling, implementation, performance tuning, optimization, and operational support for MongoDB, Oracle, relational databases, and Databricks environments. Serve as the database subject matter expert, troubleshoot complex issues, and support scalable enterprise databases exceeding 5TB. Collaborate with developers, architects, and technical teams to deliver reliable, high-performing database solutions.

Designs, develops, deploys, and optimizes Snowflake data pipelines while serving as backup Snowflake administrator. Responsibilities include data modeling, performance tuning, RBAC, schema management, cost optimization, backup and recovery, automation, and disaster recovery strategies. The role requires collaboration with product, engineering, architecture, and Agile teams, plus advanced SQL, Python or shell scripting, AWS, and Snowflake platform expertise.

The Senior Pharmacy Business Analyst monitors pharmacy performance, identifies trends and root causes, and translates operational and financial data into actionable recommendations. The role builds Tableau dashboards, queries enterprise data warehouses with SQL, prepares executive reporting, and partners with pharmacy, Finance, Operations, and Clinical leaders. Responsibilities include recurring report ownership, quality assurance, planning support, ad hoc analysis, and communicating insights to senior stakeholders.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

Supports pharmacy network analytics through data modeling, report creation, pharmacy directory development, quality assurance, and recurring regulatory reporting. Analyzes provider network adequacy and performance, transforms data into actionable insights, coordinates cross-functional projects, supports process improvements, and provides reporting to Provider Services and leadership.

Designs secure Azure data pipelines and analytics foundations using Databricks and ADLS Gen2. Responsibilities include modernizing Oracle workloads, developing medallion data models, implementing data quality and monitoring practices, integrating curated datasets with Power BI, and establishing secure Azure Government identity, network, storage, and access patterns. The role also requires documentation, operational support, stakeholder collaboration, and performance optimization.