Top Data & Analytics Jobs in Fayetteville, AR

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.

The Senior Data Analyst will conduct quantitative analysis, optimize products through data insights, and lead A/B testing in collaboration with various stakeholders.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Build and own data quality and observability for the data platform: profile data, define quality rules, set metrics/SLAs, monitor and alert, investigate and resolve data issues at source, and partner with data engineering and business stakeholders on standards and reporting.

Provide research support and program evaluation for public health projects: analyze mixed-methods data, produce reports, link implementation measures to outcomes, and advise stakeholders. Use BI and qualitative tools, manage administrative/government systems, and communicate findings to high-level officials.

Design, build, and maintain end-to-end data pipelines and ETL/ELT for healthcare data using Snowflake, dbt, Python, and SQL. Ensure data quality, monitor production jobs, troubleshoot anomalies, write dbt models and tests, collaborate with Analytics/Operations/Clinical teams, and participate in Agile processes with GitLab and Jira.

Design, build, and maintain scalable cloud-based data pipelines and lakehouse platforms. Integrate diverse business systems, ensure data quality, support analytics and AI, implement governance, and mentor junior engineers while optimizing performance and enabling enterprise reporting and ML use cases.

Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.

Senior member of the Data & Analytics team who translates operational reporting requirements into Epic- and Qlik-based analytics solutions. Develops RW SQL reports, Radar dashboards, and self-service artifacts; validates data, mentors junior analysts, enforces best practices, supports intake/prioritization, and coordinates training and legacy-to-new-tool migrations.