Lead Business Intelligence Developer

You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

Looking for a Team Lead to own the roadmap and key deliverables for Alteryx and dbt within the RGA Self-Service Analytics Center of Excellence (SSACOE).  The SSACOE provides self-service tools and technical support to business departments as they adopt and use these tools. This role may manage a small team and be accountable for the Operating Model, User Community Support, Strategic Roadmap, Self Service Analytics Strategy, and Data Governance Strategy as it relates to Alteryx and dbt. The team will also develop and support key common components that will be used across various business teams.

Principle Duties:

• Build Up Alteryx and dbt Community: support and mentor user base, manage user community questions, and conduct training/best practice learning sessions, gather and analyze requirements and pain points in support of user needs

• Be an Alteryx and dbt Champion: provide solutions and recommendations for optimizing the use of Alteryx and dbt, create and manage sustainable best practices, test, and debug Alteryx workflows and dbt models to ensure workflow quality and performance

• Alteryx Designer and dbt Support: help business users to troubleshoot issues

• Alteryx and dbt Administration: manage user access and licenses, administer data connections, collections, jobs, environments, onboard new users, and work with other teams to ensure proper access to assets in a timely manner

• Deliver on Project-Based Consulting Engagements: help users deploy, manage, govern, and tune their solutions

• Understand Analytics Technology Landscape: provide recommendations, guidance, and high-level knowledge around tools like Alteryx and dbt to help decide if it is the right tool for the use case

• Work with the rest of the SSACOE team on initiatives that relate to Alteryx and dbt and our overall self-service analytics strategy.

Qualifications:

Education:

• Bachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/ experience Required

• Master’s degree in Arts/Sciences (MA/MS) Preferred

Work Experience:

• 8+ Years business intelligence or relevant experience Required

Licenses & Certifications:

• LOMA certification Preferred

Skills & Abilities:

• 8+ years experience with semantic layers, cubes/ extracts, and scheduling technologies, as well as analytic, visualization, and reporting technologies. Demonstrated ability to quickly learn new technologies. Required

• 4+ years of Data Analysis experience Required

• Demonstrated ability to lead small teams. Advanced interpersonal skills, including the ability to build consensus. Required

• Advanced ability to solve complex problems, drawing upon creativity, experience, and multiple sources of information Required

• Advanced communication skills, including the ability to communicate complex or difficult information Required

• Tableau Enterprise and Desktop/ Tidal Enterprise Scheduler Required

• Oracle SQL Required

• Vertica Required

• SSAS Tabular, PostgreSQL/SQL Server, Erwin Data Modeler Preferred

• Insurance and/or reinsurance industry knowledge Preferred

#LI-HYBRID #LI-MC1

What you can expect from RGA:

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

• Join the bright and creative minds of RGA, and experience vast, endless career potential.

We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screeni