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Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems.
3 Casualty Actuarial Society (CAS) exams.
Bachelor's degree OR 4 years of related actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
2 years of actuarial or analytical business experience.
P&C; Personal Lines pricing experience.

TechDigital Group

Charlotte, NC 28269

US Navy

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U.S. Customs and Border Protection

Bessemer City, NC 28016

Jobot

Charlotte, NC 28202

Pacific Asset Management, LLC

Charlotte, NC 28269

Solid understanding of data architecture/data engineering concepts and techniques, such as data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security
Awareness of current and emerging data trends, challenges, and opportunities
Outstanding communication, presentation, and leadership skills, with the ability to work with and persuade diverse stakeholders
Ability to manage and coordinate data projects across multiple teams and departments
Enthusiasm for learning and keeping up with the latest developments and innovations in data engineering
Knowledge of data technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP
VP Enterprise Data Architect
Strong problem-solving, analytical, and critical thinking skills, with the ability to deal with ambiguity and complexity
Minimum of 10 years of experience in data architecture, data management, data engineering, data analysis, or data science roles with demonstrated success in leading and delivering complex data projects
Base Pay Range:The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting
Bachelor's degree or higher in Computer science, engineering, mathematics, or related field
Experience in designing and building data solutions that use advanced analytics and machine learning
Salary: $ 250,000- $300,000
Knowledge of data governance frameworks, standards, policies, and best practices