Top Analysis Reporting Jobs in Peoria, IL

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.

Designs, develops, maintains, and improves software applications and business processes. Responsibilities include full lifecycle development, troubleshooting, performance and reliability improvements, CI/CD collaboration, requirements analysis, technology research, package maintenance, portfolio planning, and mentoring junior engineers. The role requires independent work, cross-functional collaboration, and strong software development, documentation, and problem-solving skills.

Build and maintain scalable Python-based data pipelines and cloud-native solutions supporting U.S. Army financial-system modernization. Develop ETL/ELT workflows using AWS Glue, Lambda, S3, and CloudWatch; integrate APIs and diverse file formats; improve data reliability, performance, security, and governance; implement testing and monitoring; and collaborate with engineers and stakeholders in an Agile environment.

Lead marketing analytics across channel, campaign, cohort, and funnel performance. Build dashboards, reporting, AI-enabled analytical workflows, and data models that support marketing decisions. Conduct ad hoc analyses, evaluate attribution and incrementality, monitor data quality, and translate complex findings into executive recommendations. Partner with marketing and marketing science teams, influence strategic decisions, establish analytical standards, and mentor analysts.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Senior Database Administrator responsible for optimizing MySQL and AWS Aurora query performance, indexes, execution plans, stored procedures, and database architecture. Supports SQL Server and AWS RDS environments, cloud migrations, schema refactoring, data modeling, maintenance, backups, and operational tuning. Collaborates with developers and QA teams on database code reviews and mentors engineers on query optimization. The role requires extensive DBA experience, cloud database migration expertise, and strong relational data modeling skills.

Leads the design, development, optimization, and migration of modern data platforms in Snowflake. Builds pipelines with dbt, Python, and cloud services; gathers client requirements; creates solution designs and project plans; advises on Snowflake performance, cost, security, and workload management; integrates BI, governance, and AI/ML tools; contributes to accelerators and mentors junior engineers. The role is remote, client-facing, consultative, and focused primarily on technical delivery rather than sales.

Supports business applications, databases, integrations, and data processes through troubleshooting, reporting, data validation, documentation, testing, requirements analysis, implementation, and user training. Extracts and analyzes data using SQL, Excel, Power BI, APIs, and SQL Server. Participates in low- to medium-complexity projects, coordinates implementation activities, and communicates with business and technology stakeholders.

Owns marketing performance measurement, reporting, dashboards, data models, KPI governance, attribution, forecasting, and ROI analysis. Builds marketing analytics infrastructure in Domo, integrates Salesforce and HubSpot data, monitors funnel and campaign performance, and translates complex findings into recommendations for marketing and executive stakeholders. Partners with finance and cross-functional teams on budget planning, data quality, and performance optimization.

Build and operate batch and streaming data pipelines, ETL/ELT workflows, data warehouses, dimensional models, and reusable data services. Improve reliability, performance, quality, and cost efficiency through monitoring, testing, automation, and incident response. Partner with analytics, data science, product, business, platform, and infrastructure teams to deliver production data solutions and roadmap initiatives. Apply AI-assisted tools responsibly to development, testing, documentation, and troubleshooting.