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3549 Global Manager Compliance Data Analytics jobs in Charlotte,NC

New, Posted 9 hours ago

Manager - Data , Analytics, & AI

Ally Financial Inc.

Charlotte, NC 28269

Jobcase

Manager, Business Ops Analytics

Public Consulting Group

Charlotte, NC 28230

New, Posted 10 hours ago

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Remote Benefits Specialist

Hire Standard Staffing

Charlotte, NC

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen.
Comfortable using Zoom and other online communication tools.
No prior insurance experience is required — only a strong drive to succeed and a willingness to learn.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Director - HR Data and Analytics

USAA

Charlotte, NC 28203

OnsiteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related work experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in data and analytics, technical, or business-relevant function
3 years of direct team lead or management experience.
Experience overseeing teams conduct cost benefit analyses and leveraging results to drive business intelligence solutions.
Experience guiding teams in the gathering and authoring of business intelligence solutions for large scale complex projects.
Advanced facilitation, collaboration and consensus building skills, with extensive experience in presenting to cross-functional teams and Senior/Executive leaders.
Demonstrated subject matter expertise in applying and creating business intelligence practices, methods, and problem-solving strategies.
Experience leading and coaching others in understanding and translating needs into requirements.
Expert knowledge of relevant regulatory compliance, industry regulations, risk management practices, and regulatory data sources.
SME developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
Demonstrated thought leadership in embedding intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details.
Expertise in Data Modeling and Architecture for HR: Demonstrated experience in designing, developing, and maintaining robust data models and data architectures specifically for HR data, HR analytics, and people insights. This includes a deep understanding of data warehousing principles and best practices.
Technical Proficiency in Data Engineering and Pipelines: Proven ability to manage data pipelines, understand data flow between systems (e.g., Workday to Snowflake), and possess the technical acumen to advise on data structuring, modeling, and storage within data warehouses like Snowflake. Experience in a hands-on technical role (Data Engineer, Software Engineer, Data Architect) is highly preferred.
Strategic Business Acumen and IT Collaboration: Ability to align data and technology solutions with overarching business strategy. This includes understanding business architecture principles and critically evaluating technical proposals from IT, providing informed input and pushing back when necessary to ensure efficient and effective solutions.
Data Visualization and Reporting Leadership: Experience leading teams in the creation and management of data visualizations and dashboards using tools such as Tableau, to deliver actionable insights and support data-driven decision-making.
People Management and Team Leadership: Proven experience in direct people management, including coaching, mentoring, and performance management. This also extends to the ability to provide technical guidance and direction to a data team, ensuring the quality and efficiency of their work.
HR Technology Landscape Knowledge: Familiarity with HR technology landscapes, including experience with HRIS systems and data models pertinent to HR Technology/Engineering and HR Data Architecture.