Top Data & Analytics Jobs in Little Rock, AR

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

Lead intake, grooming, and translation of reporting and analytics requests into actionable requirements. Drive stakeholder sessions, define data logic and metrics, prioritize requests, enable scalable reporting solutions, support delivery and UAT, mentor junior analysts, and improve intake processes to reduce one-off requests and promote reusable, self-service reporting.

Work with product, engineering, and PM teams to gather requirements, design data models and pipelines, build dashboards and reports, maintain enterprise data dictionaries, ensure data quality and governance, and support integrations and documentation in an Agile environment.

Lead design and implementation of tracking with GTM, analyze user behavior in GA4, build BigQuery queries and dashboards, define KPIs with cross-functional teams, troubleshoot tagging/data issues, and perform deep-dive conversion and journey analyses to optimize web and mobile performance.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design, build, and optimize enterprise-scale data pipelines on Databricks and Azure. Implement batch, streaming, CDC, and incremental ETL/ELT solutions, Delta Lake optimizations, data quality, CI/CD, and secure, production-ready data products for analytics and AI/ML initiatives.

Lead BI architecture and solution design; build and optimize Power BI and Tableau semantic models; write and tune DAX, Power Query, and SQL; architect dimensional data models; define governance, CI/CD, and deployment standards; partner with data engineering; drive self-service BI and mentor BI developers.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Support and architect clients' Azure data platforms and Power BI environments within Managed Services. Design Databricks Lakehouse and Delta Lake solutions, build and maintain data pipelines, advise on governance/licensing, resolve escalations, mentor junior staff, communicate with clients, create documentation, and promote best practices for HIPAA-compliant healthcare data solutions.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.

Reverse-engineer Yardi schema and APIs to document finance entities and processes; reconstruct procure-to-pay and record-to-report flows; model flows into Gold-layer containers; produce source-to-target mappings and data-quality rules; define crosswalk keys with Procore and Oracle P6; steward finance KPI certification; support pipeline development, automated transformation testing, and reconciliation to Yardi system-of-record balances.

Lead development of enterprise data and analytics systems using Snowflake and Python. Build and optimize data pipelines on AWS (Lambda, Step Functions, ECS), write advanced SQL, and apply domain knowledge of asset management and financial markets.

Maintain and monitor Snowflake data warehouse and ingestion pipelines. Troubleshoot file/load/data quality issues, operate SFTP/drop-zone/file automation, support scheduled loads, build dbt models and tables, document runbooks, and serve as backup for core warehouse operations while collaborating with engineering and IT.