About AssuranceAssurance IQ is a technology company headquartered in Seattle. We were acquired by Prudential (NYSE: PRU) to further the joint mission of improving financial wellness across the world.
At Assurance, we simplify the complex world of insurance and financial services into straightforward, valuable solutions to improve people's lives. We start by asking customers a few questions, so our system can learn about their needs; from there, our ground-breaking, proprietary platform takes over and analyzes the thousands of data points that make customers unique to create custom-tailored plans for each customer. Our platform serves as the intersection between customer and seller, technology, and the human touch.
At Assurance, we are innovative, persevering, humble, collaborative, and authentic, and we're working together to improve the lives of millions!
About the Motivation Squad:Assurance's strategy integrates technology with human interaction, leveraging our agent force as a crucial component in consumer decision-making. We are a team that has constant executive exposure. We ensure that our incentives align the agents’ best interests with doing great things for helping our consumers. Our compensation and incentives team is committed to developing a system that is transparent and effectively aligns customer and Assurance outcomes, making Assurance the best place for the best agents to work. This is also a rare opportunity to work on a product where you have the combination of gamification/behavior modifying features, but also super high-impact to both the business and real people's livelihoodsWho we're looking for:
- A dedicated problem solver. You embrace challenges, and stop at nothing to create solutions, whether they're short-term workarounds or more long-term process changes.
- Passionate about the data. You possess the ability to self-serve, investigate, and utilize data - and you love leveraging that data to uncover root causes.
- An Owner. You don’t hesitate at the opportunity to take charge, you thrive on feedback, and your focus is on making an impact.
- Customer-Centric. You actively consider the real-world experiences of our agent-users and the implications of product changes and improvements
- Gritty. You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away.
- Naturally curious. You love learning how things work and you're always looking for ways to innovate. You enjoy testing different strategies and tracking the results.
- A brilliant communicator. Your work is only impactful if understood, and so you are able to make complex topics simple in communication, whether you're explaining a new policy to end-users, or describing analysis to business leaders.
- A lover of process and optimization. You're excited about the opportunity to create and experiment with processes and are willing and able to lead others in iterating and executing them.
- Superior technical expertise. You are the subject matter expertise to team members. Without a doubt, this is table stakes.
Ideal Qualifications:
- 2+ years of experience working at a finance or technology company in an analytical function, whether it be in a startup, consultancy, or corporate.
- Expert proficiency in SQL.
- Experience with business intelligence or data visualization tool (e.g. Looker, Tableau, DOMO, PowerBI).
- Proven track record of identifying, sizing, and solving ambiguous data issues.
- Excellent communication skills, both verbal and written.
- Experience working in a support organization or for organizations known for stellar customer support.
- Experience interpreting and presenting data to various audiences.
- Experience with CRM platforms such as Jira, Zendesk, Salesforce, or Intercom is preferred but not required.
- Degree in business, economics, finance or any science-related fields (Note: we’ve seen superior individuals without degrees so don’t hesitate to try).
Responsibilities:
- Dig into the data, learn what is and isn’t working, and take ownership in determining which projects to focus on - and set aggressive timelines to reach those goals.
- Supporting Data Engineering in the design and maintenance of data systems and databases, including troubleshooting potential issuesarising from data.
- Work cross-functionally with support, product, engineering, and data science to optimize how we compensate Agents on the platform.
- Hands-On Approach and Deep Operational Dive: Are not afraid of rolling up the sleeves and collaborating with cross-functional teams, including operation and customer support, to uncover both product and process improvement opportunities. Escalate these opportunities to system owners.
- Assist in the study,