Top Data & Analytics Jobs in Little Rock, AR

Contract SQL developer role supporting client projects: develop and optimize SQL queries, support database design and ETL/reporting, collaborate with team, and participate in on-the-job training programs.

Perform GIS data processing and automation using arcpy and Python, develop SSIS/SQL Server workflows, communicate status to managers and users, track time, follow quality standards, collaborate in a team, estimate and schedule work, and resolve issues promptly.

The Business Analyst identifies opportunities for improvement in internal processes, creates business documentation, analyzes software impacts, and conducts training for end users, requiring extensive travel to courts.

Develop and maintain BI reports and dashboards for the Mortgage Lending Division. Analyze large datasets, identify trends, validate reportable data, and support regulatory reporting such as HMDA and Fair Lending Analysis. Collaborate with business teams to gather requirements, automate reporting processes, document data definitions, and provide training on reporting tools. The role also supports data dictionaries, exception reporting, and operational improvements.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Leads data product engineering across Natera’s data platform, building certified, AI-ready analytics products and self-service experiences. Establishes standards, golden paths, data quality, governance, observability, and measurable delivery practices across domains. Drives AI-native engineering, agentic development, and productivity improvements while hiring and developing engineering teams. Requires hands-on technical leadership across Python, SQL, dbt, Snowflake, AWS, orchestration, and regulated healthcare data environments.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Administers and secures Oracle databases supporting DISA contract systems. Responsibilities include database installation, tuning, access management, outage response, disaster recovery, security patching, STIG compliance, scripting, release support, data modeling, legacy data migration, reconciliation, and system integration. The role also supports Appian data stores and coordinates database changes with DISA, hosting providers, ISSOs, and development teams.

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.