Analytics Engineer
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!
The Job
Assurance is seeking a skilled and enthusiastic Analytics Engineer to join Analytics Engineering within the broader Analytics Center of Excellence (ACE) team. You will be a crucial bridge between Data Engineering, Analytics, and Finance to hep drive real business value with data!
The Kind of Person We’re Looking For
We are looking for someone who is business-focused and technically savvy. They get excited about working on end-to-end planning & delivery of a high quality data UX that drives real business value.
The Role
- Work closely with Data Engineering, Data Science, and Data Consumers to develop performant data models that unify analysis of cross-functional teams
- Write code & run ops for several languages and tools - SQL, Python, Spark, Trino, dbt, Databricks, Looker, Github, etc
- Automate manual Excel-based processes into production data pipelines to enable revenue recognition and cash-flow projection models
- Leverage your expertise in complex data analysis to aid the business in making data-driven decisions when needed
Qualifications
- Bachelor's degree in Computer Science, Mathematics, or a related field; or equivalent work experience.
- 3+ years of experience in a Data Engineering, Data Scientist, Analytics Engineer, Analyst, etc role
- Experience building and optimizing data pipelines, architectures, and data sets.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with a variety of databases.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience with data visualization tools such as Looker, Tableau, or other related BI tools
- Experience with data framework tools, such as dbt.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Nice to Have
- Proficiency in Python and/or Spark
- Experience with CI/CD automation
- Knowledge of the insurance and/or finance industry
- Experience with Trino or similar technologies.