Top Senior Analysis Reporting Jobs in Richmond, VA

Develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks with schedulers, configure PowerCenter grid, use IDQ and MDM, tune performance, perform data profiling/cleansing, and write Unix scripts and Teradata/SQL queries.

Develop and maintain profitability and cost-allocation models; produce analytics and visualizations to identify profit opportunities; support and troubleshoot the profitability tool for users; provide ad hoc reporting and analytics; partner with stakeholders to improve model accuracy and drive margin-improvement initiatives.

Lead design and development of Abinitio ETL solutions, translate business requirements to schemas, perform data profiling and metadata work, use Unix scripting and RDBMS (Teradata/Oracle/DB2), and deliver reporting. Must have worked on multiple Abinitio projects.

Lead Data Architect provides strategic and hands-on leadership for cloud data initiatives, designing Databricks-first lakehouse architectures in Azure, guiding multiple delivery teams, specifying scalable data solutions, evaluating technologies, and driving ingestion/integration strategies while influencing stakeholders and supporting implementation.

Lead end-to-end migration of document-heavy legacy systems to cloud, converting unstructured records into analytics-ready formats, ensuring data quality and governance. Build and maintain MuleSoft integrations and APIs, apply data transformation (DataWeave), support Salesforce Data 360 implementation, and ensure lineage, metadata, and compliance while collaborating in Agile teams for phased cutovers and audit readiness.

Seeking a Senior Business Analyst with over 8 years of experience, skilled in documenting business processes, requirements analysis, and Identity Access Management, preferably with SailPoint knowledge.

The Business Analyst will perform business analysis in Insurance and Claims management, create test plans, and manage requirements documentation. Strong SQL skills and process modeling experience are required.

Lead the architecture, development, and optimization of Snowflake and enterprise data platforms. Design scalable ETL/ELT pipelines, dimensional data models, and medallion architectures while establishing engineering standards for testing, deployment, monitoring, security, and data quality. Partner with stakeholders on technical roadmaps, mentor engineers and analysts, conduct design and code reviews, modernize legacy pipelines, and deliver reliable, reusable data solutions.

Administer Informatica and MuleSoft data governance and quality platforms in AWS GovCloud production environments. Responsibilities include installation, integration, security, performance tuning, backup and recovery, high availability, monitoring, testing, RMF/ATO support, documentation, incident response, and technical mentoring. The role integrates data catalogs and quality services with Yellowbrick, PowerCenter, and ETL systems while maintaining secure, repeatable configurations and operational readiness.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Build and operate batch and near-real-time data pipelines, semantic models, certified measures, APIs, and serving infrastructure for AI-powered decision systems. Responsibilities include data quality, observability, lineage, governance, CI/CD, infrastructure as code, performance optimization, model scoring pipelines, and AI telemetry. Partner with data scientists and business stakeholders to productionize models and deliver reusable, documented data platform capabilities.