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Top Analytics Jobs in Fayetteville-Springdale-Rogers,

936+ Job Results
4 Days Ago
2 Locations
Remote
85 Employees
130K-150K Annually
Junior
85 Employees
130K-150K Annually
Junior
Software
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+48 More
4 Days Ago
USA
Remote
893 Employees
Entry level
893 Employees
Entry level
Fintech • Payments • Financial Services
The FinOps Analyst I will work on funds flow creation, new account setup, and reconciliation of DDA account activity. Responsibilities include managing accounts, analyzing account activity, resolving account issues, and following procedures for account management.
4 Days Ago
USA
Remote
1,749 Employees
100K-120K Annually
Senior level
1,749 Employees
100K-120K Annually
Senior level
Biotech
The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.
4 Days Ago
2 Locations
Remote
49 Employees
Mid level
49 Employees
Mid level
Fintech • Payments • Financial Services
As a Data Visualization Developer, you will design and develop data visualizations that enhance user engagement and communicate key insights. You will collaborate with engineering, data, and product design teams to create compelling visual narratives, optimize visualization tools, and ensure performance across platforms.
4 Days Ago
USA
Remote
95 Employees
99K-120K Annually
Senior level
95 Employees
99K-120K Annually
Senior level
Software
The Senior Commission Analyst will support the Finance team by ensuring the accurate calculation, analysis, and reporting of sales commissions. Responsibilities include developing compensation plans, analyzing metrics, building compensation models, and enhancing process efficiencies. Collaboration with Sales, Finance, HR, and Operations is essential to ensure alignment and compliance with compensation strategies.
4 Days Ago
United States
Remote
1,153 Employees
Entry level
1,153 Employees
Entry level
Healthtech • Software • Telehealth
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
4 Days Ago
United States
Remote
214 Employees
Senior level
214 Employees
Senior level
Edtech
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
4 Days Ago
USA
Remote
454 Employees
Mid level
454 Employees
Mid level
Healthtech
The Principal Security Analyst oversees the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include security assessments, implementing security controls, and collaborating with engineering teams to address detected risks and ensure compliance with regulations.
4 Days Ago
2 Locations
Remote
310 Employees
Senior level
310 Employees
Senior level
Artificial Intelligence • Cloud • Information Technology
The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.
5 Days Ago
USA
Remote
6,766 Employees
Entry level
6,766 Employees
Entry level
Software
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
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