Top Data & Analytics Jobs in Little Rock, AR

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.

Leads HUB’s national pharmacy analytics infrastructure, including enterprise reporting, data integration, dashboards, forecasting models, and technology platforms. Oversees pharmacy data quality, vendor relationships, automation, industry intelligence, and analytical support for regional teams and clients. Builds and manages a centralized analytics team, establishes scalable processes, develops training, and provides insights on pharmacy benefits, drug trends, PBM performance, formulary impacts, and market changes.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Develops and automates complex sales reports and dashboards using Power BI, SQL, SSRS, SSIS, Excel, and related tools. Performs data transformation, cleansing, modeling, analysis, reconciliation, and integrity controls. Serves as a reporting subject matter expert, supports partners and leadership, resolves reporting escalations, mentors analysts, and contributes analytics to revenue-growth initiatives.

Provides strategic and technical leadership for integrated data architecture, performance dashboards, data governance, analytics, verification tools, and data quality processes in Uganda. Translates program requirements into system and analytical specifications, integrates government data sources, identifies risks through data triangulation, and supervises information systems, monitoring and evaluation, and analytics managers. The role also supports government engagement, institutional ownership, proposal development, stakeholder relations, and team growth.

Conducts research and analysis of workload and operational data, creates customer-focused reports, identifies trends and reporting issues, and provides insights and recommendations to improve efficiency. Supports contract teams, management, outreach, and training while handling confidential information and meeting strict deadlines. The role requires strong analytical, organizational, communication, and computer skills, including Access, Excel, reporting extracts, and Web Intelligence.

Designs, develops, tests, optimizes, and maintains complex ETL pipelines and data integration workflows for high-volume retail and CPG data. Troubleshoots performance issues, performs root cause analysis, optimizes code and databases, and designs schemas and data models. Collaborates with platform, cloud, data engineering, and QA teams to deliver scalable pipelines. Establishes data quality controls, CI/CD practices, reusable workflows, and recovery procedures while ensuring data integrity, security, enterprise standards, and SOX compliance.

Transforms customer, market, transactional, and performance data into actionable insights. Develops enterprise dashboards, reporting frameworks, segmentation and targeting strategies, lead-generation programs, campaign and sales performance analyses, and executive presentations. Partners with sales, marketing, product, and business leaders to solve complex problems, maintain data governance, identify new data sources, and improve decision-making. The role has no direct people-management responsibilities.

Designs and maintains scalable data pipelines, ETL/ELT workflows, data models, data lakes, warehouses, and curated data layers. Integrates structured and unstructured data from internal systems, vendors, and APIs, while supporting Tableau dashboards and analytics. Monitors pipeline reliability, performance, governance, validation, security, and data quality. Collaborates with analysts, data scientists, developers, and stakeholders to deliver cloud-based data solutions, documentation, and AI-enabled analytics capabilities.

The DB2 DBA will be responsible for monitoring, maintaining, and optimizing DB2 databases on AIX, providing on-call support, and performing database deployments.