Top Analysis Reporting Jobs in Little Rock, AR

Build and evolve Microsoft Fabric and Azure SQL data warehouses, lakes, lakehouses, and analytics solutions. Design Medallion Architecture layers, develop reliable ELT/ETL pipelines, create dimensional data models, and ensure testing, monitoring, documentation, security, and data quality. Collaborate directly with clients to translate requirements into scalable architectures and data marts, explain technical approaches, and provide technical leadership and mentorship. Support AI-readiness through Azure AI Search and Microsoft Foundry integrations.

Develops and maintains business intelligence reports, data extracts, dashboards, and analytics content using Epic data and tools such as Tableau and Power BI. Translates end-user needs into reporting solutions, validates peer reports, distributes analytics content, supports projects, maintains metadata, educates users, and provides request support. Requires a bachelor’s degree and 0–3 years of analytics experience, with Cogito certifications required after hire.

Build and maintain ETL pipelines, integrate data from multiple sources into warehouses, automate data collection, and perform cleansing, validation, and quality monitoring. The role supports on-premises and cloud analytics platforms, documents technical processes, and collaborates with Agile teams under the guidance of senior data engineers and data scientists.

Supports museum membership and development teams by maintaining donor and member records in Tessitura, performing data entry and audits, identifying duplicates, supporting data-cleaning projects, and preparing reports. Assists with donor events, invitations, prospect research, mail merges, documentation, and administrative tasks. The role also helps ensure data privacy, improve database processes, and support fundraising, membership retention, and donor engagement.

Develop and support enterprise BI solutions, including dashboards, reports, governed datasets, data marts, and ETL/ELT processes. Translate business requirements into technical designs, perform data analysis and validation, troubleshoot production issues, and maintain documentation, governance, security, and data-quality standards. Lead-level candidates will guide technical decisions, mentor team members, and coordinate complex initiatives and incidents.

Leads digital measurement analytics for marketing platforms, including data collection and validation, dashboard development, feature performance reporting, user behavior analysis, journey friction identification, and UX improvement recommendations. Partners with marketing, technology, digital, and analytics stakeholders to deliver strategic priorities, manage projects, communicate insights, and build analytics roadmaps using tools such as Adobe or Google Analytics, Python, SAS, SQL, Tableau, and AWS SageMaker.

Retrieve, clean, integrate and analyze business, medical, operational, financial and customer data to produce reports, visualizations and insights. Identify trends, perform root cause analysis, support ad-hoc reporting and reporting process development, and consult with stakeholders to support decision making and process improvement.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Leads Operations Technical Services strategy and manages 4–6 analysts and programmer analysts. Oversees reporting, dashboards, data marts, extracts, applications, ETL controls, data architecture, stewardship, data quality, and BI solutions. Partners with health plan operations stakeholders and IT to define requirements, automate analysis, ensure privacy compliance, resolve information-access issues, and deliver actionable insights across customer service, claims, membership, and provider operations.

Develops and maintains Salesforce reporting solutions, dashboards, data products, ETL processes, data pipelines, and automated reporting workflows. Translates stakeholder needs into accurate, reusable data products, documents reporting logic, supports data governance, and troubleshoots integrations and connectivity issues. Designs and monitors AI-assisted reporting processes, including prompts, validation rules, human-review checkpoints, and compliance controls. Collaborates with technical and nontechnical stakeholders and supports responsible use of analytics and automation tools.