Top Analytics Jobs in Fayetteville-Springdale-Rogers,

The Data & Analytics Solution Architect at MCA Connect leads project implementations, mentors junior teammates, and drives continuous improvement. They design and implement data solutions using Microsoft technologies in Azure and On-Prem, ensuring projects are within budget and timeline while communicating with stakeholders.

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

The Senior Billing Strategy Analyst will support finance, billing, and market access teams by conducting complex data analysis, creating data visualizations, managing projects, and improving processes. The role requires advanced analytical skills and experience in healthcare reimbursement and revenue cycle functions.

The Senior Billing Strategy Lead will conduct complex data analysis, provide financial analytics, and improve billing strategies to support various teams at Natera. Responsibilities include monitoring KPIs, analyzing contracts and reimbursement trends, managing projects, and developing process improvements to meet organizational goals.

The Senior Data Analyst at NIKE will design and develop systems for analyzing diverse data sources, generate actionable insights, and work closely with product and service teams. Responsibilities include coding software programs for data evaluation, leading problem-solving initiatives, and interpreting findings to inform business managers.

The Senior Analytics Engineer is responsible for maintaining and securing data systems, implementing cybersecurity measures, executing vulnerability tests, generating reports, and collaborating with teams to improve data integrity. This includes the management of firewalls, intrusion detection systems, and developing security policies.

The Senior Cyber Defense Analyst will analyze user activity data to identify potential data breaches and risks related to insider threats. Responsibilities include managing risk assessments, utilizing monitoring tools for data loss prevention, conducting investigations, and creating reports. The role requires collaborating on automation and testing to improve security measures.

The Staff Policy Economist role entails using data-driven insights to guide Airbnb's policy and regulatory engagements. Responsibilities include conducting regulatory impact analysis, performing spatial analysis, utilizing AI/ML for unstructured data, and collaborating with internal teams and external experts. The position requires effective project management and communication skills along with advanced data modeling and analytical abilities.

The Sanctions Analyst is responsible for maintaining aspects of the Bank's BSA/AML compliance program, ensuring compliance with federal and state laws like the Bank Secrecy Act and monitoring for OFAC sanctions. Responsibilities include reviewing wire transfers for potential matches, conducting searches, reporting matches, and engaging in ongoing compliance training.

As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.

The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.

As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.