About Assurance

Assurance 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.

Our team of world class software engineers, data scientists, and business professionals work every day to expand our product offerings and the reach of our platform. 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. This is how we create custom-tailored plans for each customer; plans built precisely for their needs and budget. Our platform serves as the intersection between customer and seller, technology, and the human touch.

At Assurance, we are innovative, persevering, collaborative, calculated, and authentic, and we're working together to improve the lives of millions!

About the Position

This position is responsible for using data to help the People team provide transparency into their daily operations and identify areas for improvement. The ideal candidate is a self-starter that is eager to dig into the details and find insights that can help their team improve their processes, products and services.

Responsibilities

• Write SQL queries to gather real-time data on our recruiting pipeline, so that we can provide our data science, marketing, finance, and people teams with evidence to support key decisions and major company-wide initiatives
• Lead data quality and issue investigations for HR/recruiting data, and collaborate with stakeholders across the company to fix them
• Assist with the automation of the creation, data validation, and distribution of mission critical reports across the company
• Work with data science team to build data models within our business intelligence tools (Looker and Tableau)

Qualifications

• 0-2 years of experience working at a finance or technology company in an analytical function.
• Proficiency in writing SQL
• Prior experience in working with Python a plus.
• Strong Excel skills, prior experience working with VBA a plus
• Familiarity with some kind of business intelligence or data visualization tool (Looker, Tableau, DOMO, PowerBI, etc.)
• You have the ability to recognize data patterns and understand when a particular field or table is not in line with business expectations.