Better - Data Analyst

Founded in 2016, Better is a digital-first homeownership company whose services include mortgage, real estate, title, and homeowners insurance. We leverage creative technology and innovation to make the homebuying journey more approachable and understandable. Our company is made up of driven, passionate people who bring their unique backgrounds and perspectives to everything we do. We are committed to fostering diversity, multiculturalism, and inclusion.

We encourage individual potential rather than years of experience. We see the value in each persons perspective and recognize their talents, regardless of what the market says. We believe its important to nurture a company culture that encourages curiosity and passion from employee resource groups and learning opportunities to team outings and community outreach.

What We Can Provide :

- Work in a highly technical environment that drives personal development alongside solving business problems

- Ability to work on your own projects aside from the business to help develop and drive new data products for the business

- Exposure to a new ML journey which has begun its journey into predictive analytics

- We are output focused, treasuring efficiency over hours spent working

Responsibilities

- Use advanced working experience of SQL to write optimized queries

- Independently create impactful presentations via Google suite of products or dashboards via Looker

- Draft responses to time-sensitive data requests from team members that are accurate, digestible, and easy to understand

- Collaborate with cross-functional teams including data engineering, product and business teams outside of the analytics team

- Maintain code to good standards i.e. commenting/documentation

- Help debug and optimize other team members code and queries

- Interview and onboard new members to the team when necessary

- Mentor and train junior team members and share effective feedback

Must have :

Technical Skills :

- Expert SQL skills

- Working knowledge of Python, libraries such as pandas, numpy, plotly

- Demonstrated experience using BI tools like Tableau, Qlikview, Power BI, Looker (preferred) etc.

- 2-4 years of industry experience in a data science or analytics role

- Degree from a highly-competitive academic institution in quantitative field: statistics, economics, applied math, operations research or engineering.

- Previous experience working with very large datasets across multiple databases in startup environment or large commercial institution

- Advanced analytical and Excel skills required to understand, manage, and assess large data sets, including the ability to interpret results

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