Top Analysis Reporting Jobs in Greensboro, NC

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Designs and maintains Power BI dashboards and reports for sales decision-making. Extracts, integrates, cleans, and analyzes data from multiple market and category management sources. Conducts line reviews and category performance analyses, identifies trends and growth opportunities, and delivers data-driven recommendations. Develops customized dashboards, reporting materials, and PDF documentation to support sales teams, product evaluations, and customer presentations.

Manage and maintain fundraising database integrity, produce and format reports and dashboards, support data imports/exports and integrations (Salesforce Marketing Cloud, Omatic Cloud), audit gifts and pledges, train users, and collaborate with stakeholders to ensure compliant, accurate reporting for fundraising operations.

Owns the Data & Analytics product backlog, translates roadmap into epics/features/user stories, conducts discovery, coordinates cross-functional stakeholders, supports prioritization, and ensures delivery, quality, and regulatory alignment from discovery through launch.

The role involves designing and developing customizations for IBM Infosphere MDM, focusing on data management architecture and multi-domain solutions.

Transform retail, POS, inventory, assortment, supply chain, and shopper data into dashboards, reports, models, and executive narratives. Analyze Scintilla and retailer datasets to identify root causes of performance changes, produce actionable insights for Sales, Category Management, Marketing, and Supply Chain, maintain ETL and data governance, troubleshoot data integrity, and train and support business users.

Plans and executes enterprise data migrations, conversions, transformations, archival, and cloud data platform operations. Builds ETL/ELT pipelines and migration scripts, performs profiling and source-to-target mapping, validates data, manages cutovers and rollback procedures, and troubleshoots migration issues. Optimizes cloud platforms, databases, workloads, security, access, cost, and performance while collaborating with engineering, governance, architecture, and business teams.

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Design, develop, and optimize scalable Databricks data pipelines using PySpark, SQL, Spark, and Delta Lake. Build workflows, ingestion and transformation processes, data quality checks, monitoring, and CI/CD automation. Optimize distributed workloads, configure Databricks compute, support cloud governance and access controls, troubleshoot production issues, and collaborate with technical and research stakeholders to deliver secure, reliable analytical datasets.

Partner with Ads sales to provide data-driven prospecting, reporting, and strategic recommendations. Build SQL queries and dashboards, produce monthly/quarterly client narratives, run incrementality/A-B tests, and present insights to brands. Support new business pitches, automate reporting workflows, and collaborate with Sales, Ad Ops, and Product on ad performance and product testing.

Supports the design and development of scalable end-to-end data pipelines and cloud data platforms. Responsibilities include improving data reliability and quality, implementing data management practices, supporting automation and process improvements, ensuring secure and cost-effective solutions, and recommending system enhancements. The intern collaborates with global teams and gains hands-on experience in data engineering, project coordination, and innovation management.

Conduct quality assurance evaluations, root-cause and data analysis, and progress reporting. Serve as an escalation contact and subject matter expert for quality processes, while supporting problem prevention and continuous improvement projects. The role requires strong communication, analytical, organizational, presentation, and decision-making skills, along with English and Mandarin proficiency and fintech experience.

Conduct quality assurance evaluations for a customer service team, analyze root causes and performance data, prepare QA progress reports, resolve process questions, serve as a QA subject matter expert, and support continuous improvement projects.

Build and maintain a global knowledge base of electronic-resource metadata. Responsibilities include analyzing publisher data, creating and maintaining collections, establishing data feeds, researching missing metadata, documenting transformation processes, resolving data issues through root-cause analysis, coordinating with vendors, and managing workload priorities. The role requires advanced Excel skills, attention to data quality, strong communication, and familiarity with metadata standards.