Data Engineer developing ETL processes and BI solutions for RUF Lebensmittelwerk. Collaborating on data models in a cloud environment with Microsoft technologies.
About the role
- Actuarial Data Engineer Analyst leading design and implementation of analytics solutions for Lincoln Financial. Partnering with stakeholders to enhance data capabilities and streamline automation.
Responsibilities
- Partner with stakeholders to understand data & analytics needs
- Translate business requests into technical requirements
- Upskill team members with emerging technology tools
- Design solutions to enhance reporting and analytic capabilities
- Centralize and standardize data from various sources
- Demonstrate new capabilities of the solution with proof-of-concept builds
- Leverage modern data science techniques to improve accuracy and efficiency of models
- Develop automated solutions to streamline processes
- Help transition manual deliverables to automated reports
- Increase transparency, efficiency, and governance of processes
- Maintain robust process and production documentation
- Document changes and follow change management procedures
Requirements
- 5-7+ Years’ experience that aligns with the specific responsibilities for this position.
- Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major
- FSA designation or ASA designation with additional years of actuarial experience (Nice-to-haves)
- Demonstrates strong interpersonal skills with a collaborative style
- Curiosity and demonstrated capability to quickly learn new concepts
- Self-starter, Innovative, Problem Solver
- Experience with Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
- Coding with SQL, Hive, Python/R, SAS, VBA, etc.
Benefits
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching, and employee assistance program
- Tuition assistance program
- Effective productivity/technology tools and training
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Manager leading data and analytics projects to enhance client operations across multiple states at PwC. Focusing on strategic planning, mentoring junior staff, and project success.
Data Engineer II specializing in automated systems for data processing and analysis in property taxation. Collaborating across teams to ensure accuracy and deliver timely solutions.
Data Architect leading scalable cloud - based architectures at Fidelity. Collaborating with cross - functional teams to modernize brokerage recordkeeping systems and ensure data compliance.
Salesforce Solutions Architect specializing in Data Engineering at Pottencial, integrating Salesforce with analytical platforms. Leading governance and scalable solutions in CRM environments.
Data Engineer developing complex software systems for a multinational IT services company in Switzerland. Utilizing data engineering techniques and high - level programming languages.
Senior Data Management Engineer at a leading IT Consulting firm. Designing enterprise data solutions ensuring data quality and governance using Informatica tools.
Senior Data Management Engineer designing and implementing enterprise data solutions for a global IT leader. Collaboration with stakeholders to ensure data quality and scalability.
Senior Data Management Engineer designing and implementing data solutions for a global IT consulting leader. Collaborating with teams to ensure data accessibility, quality, and governance.
Data Architect responsible for designing data systems architecture at Amoddex, a consulting firm specialized in IT strategy and transformation. Collaborate on various data projects to enhance organization processes.