LG
Löwenstark Online-Marketing GmbHData Analyst
Data Analyst responsible for data capturing and online marketing analytics at Löwenstark. Collaborating across teams, interpreting data to optimize performance and drive innovations in the field.
About the role
- Collaborate with engineers, technical experts, customer subject matter experts, and business analysts to deliver high-quality property and casualty insurance analytics solutions
- Act as a solution architect and business analyst for the development of new reports, data pipelines, and data acquisition processes
- Oversee integrations between financial systems and insurance platforms, ensuring the accuracy, availability, and timeliness of financial closures
- Lead daily stand-up meetings, fostering communication and alignment within the team
- Serve as the primary point of contact for production support triage, ensuring prompt resolution of issues
- Maintain and prioritize a backlog of outstanding issues and projects, ensuring timely progress
- Collaborate with leadership to prioritize new initiatives and adjust the priority of ongoing projects
- Oversee team accountability for project management, departmental, and team status updates and reporting
- Develop and maintain a comprehensive financial reporting calendar
- Provide after-hours support for critical situations and release escalations in collaboration with on-call engineers and production support teams
- Recruit, hire, train, mentor, and evaluate staff to build a robust, cross-functional team
- Prioritize and assign team members to projects
- Provide or arrange training for direct reports, conduct performance evaluations and mentor technology staff
- Promote a collaborative culture aligned with company values
- Stay informed about industry trends and regulations through ongoing professional development to maintain effectiveness and compliance
- Perform other duties as assigned.
Requirements
- Bachelor’s degree in Management Information Systems, computer science, a math-related major, or equivalent combination of education and/or experience
- Five or more years of experience in one or more of the following: developing complex analytics solutions on Microsoft SQL Server; reading, writing, and refactoring complex SQL (structured query language) stored procedures and queries; developing complex ETL (extract, transform and load) solutions with enterprise ETL platforms (e.g. SSIS); cloud data platforms (e. g. Databricks, Azure); enterprise analytics platforms (e. g. ThoughtSpot, Logi Info); ERP (enterprise resource planning) software (e.g. Great Plains); commercial property and casualty insurance industry (e.g. Guidewire)
- Two or more years of senior, or lead technical staff experience, which included providing guidance to others
- Two or more years of experience using Python for data processing (including PySpark, Polars, and Pandas)
- Skill in decision making, estimation, prioritization, organization, and time management with attention to detail to ensure tasks and deliverables are completed in an accurate and precise manner
- Proficient in both verbal and written communication, enabling the clear presentation of complex technical information to diverse audiences; ability and commitment to maintain confidentiality
- Skill in interpersonal interactions, with the ability to collaborate effectively with individuals at all organizational levels and with external stakeholders
- Ability to work independently with minimal supervision
- Proficient with the Microsoft Office Suite, Microsoft Windows Server platform and other function specific applications and systems
Benefits
- Competitive Salary
- Bonus Structure
- Profit Sharing
- Medical, Dental, Vision Insurance
- Employer Paid Short Term Disability
- Employer Paid Long Term Disability
- Employer Paid Life Insurance
- Voluntary Life Insurance
- 401K with Company Match
- PTO
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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