Lead Visualization Engineer

Pacific Life • Newport Beach, CA

4d

About The Position

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Lead Visualization Engineer to join our Consumer Markets division. This role is based in Newport Beach, CA. As a Lead Visualization Engineer, you’ll play a key role within the Advanced Analytics team to advance our reporting and visualization efforts. You will ensure that we remain agile and will be responsible for leveraging industry leading tools to develop robust reporting mechanisms to present data in a clear, actionable format to stakeholders across departments. You will report to the Director, Visualization Engineering and contribute to driving the overall visualization strategy.

Requirements

• Passion for fostering a data-driven culture and collaborative visual analytics community.
• Bachelor's degree in IT, Computer Science, Data Science, Statistics or a related field.
• 8+ years of experience in data engineering, business intelligence, or a similar role.
• Expert in data visualization and dashboarding best practices.
• Expert in relational and dimensional data modeling concepts and best practices.
• Advanced SQL skill is required.
• Proficiency in dbt is preferred.
• Proficiency in python is preferred.
• Proficiency PowerBI or Tableau (certification preferred).
• Expertise with one or more cloud-based data warehouses is required such as Snowflake.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to present complex information in a clear and concise manner.

Nice To Haves

• MS and/or MBA degree
• Insurance or Financial Services
• Familiarity with other BI tools is a plus
• Knowledge of Salesforce objects and data structures

Responsibilities

• Data Visualization & Reporting Craft and refine dashboards that display complex data streams in comprehensible visual formats. Regularly update and adapt reports in line with changing business needs and objectives.
• Stakeholder Collaboration Engage regularly with department leads to ascertain their data requirements. Conduct workshops and feedback sessions to refine advanced visual analytics offerings.
• Data Integrity Assurance Establish protocols to ensure report accuracy and consistency. Identify and rectify any discrepancies or anomalies in datasets. Collaborate closely with the Analytics Engineering team
• Training & Capability Building Roll out training sessions for internal stakeholders, ensuring optimal utilization. Develop visualization best practices and guidelines for the broader team.
• Performance & Scalability Ensure rapid dashboard responsiveness and efficient report generation. Strategize on visual analytics infrastructure scalability to support growing datasets.
• Ad hoc reporting needs Generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts.

Benefits

• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off
• Paid Parental Leave as well as an Adoption Assistance Program
• Competitive 401k savings plan with company match and an additional contribution regardless of participation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level