Data Analyst

### Who you are
- 2-4+ years of hands-on experience with large, complex data sets
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics…); advanced degrees and/or specializations a plus
- Highly proficient in SQL, with the ability to write efficient, optimized queries for large-scale datasets
- Experience with data analytics tools such as Looker or Tableau to build dashboards and reports
- Experience with dimension modeling and data architecture, ensuring scalable and efficient data structures
- Experience with DBT for transforming and managing data models
- Experience with code management and deployment on Github a plus
- Strong analytical skills, with the ability to uncover insights and communicate findings effectively
- Ability to communicate effectively with a wide range of audiences, including business stakeholders, data engineers, and product teams
- Experience working with event data or user/product analytics tools (e.g., Heap) is a plus
- Passion for data and its fundamental ability to create value
- Extremely curious and excited to dive into complex problems

### What the job involves
- Data is core to our growing business and has been ingrained in the company's DNA since its founding
- As a member of the Data Analytics team, you will arm stakeholders with data to measure performance, insights, and drive continuous improvements across the company
- The team is responsible for developing and maintaining RTR’s core data models, defining and analyzing performance metrics, building reports, and enabling self-service report solutions
- Data analytics is an important team within the RTR Customer organization
- We are looking for a Data Analyst to develop and manage crucial data models that describe our customers and business
- In this role, you will partner cross-functionally with business leaders across the organization
- You will own the creation of rich reporting and data visualizations, enabling functional leaders to quickly digest information and make data-driven decisions
- In collaboration, you will define KPIs and set attainable, stretch goals to drive continuous improvement
- You will be a key contributor to the culture of the team, and you will have opportunities for growth and leadership as we expand
- Partner closely with cross-functional teams to identify, scope, and fill data visibility gaps
- Work with Product and Engineering teams to ensure we collect the data required to support business objectives
- Develop scalable, reusable, and well-documented data models that power dashboards, reports, and analysis across the organization
- Collaborate closely with Data Engineering to design, optimize, and maintain data pipelines, ensuring data availability, accuracy, and efficiency
- Analyze key areas of the business to uncover opportunities for optimization, experimentation, and strategic improvements
- Define and monitor KPIs to influence decisions throughout RTR
- Build, maintain, and monitor robust, user-friendly Looker dashboards and reports, ensuring stakeholders have access to up-to-date insights
- Promote and assimilate best practices across the Data Team, including data governance, performance optimization, and documentation

### Benefits
- Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
- Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention.
- Paid Sabbatical after 5 years of continuous service
- Exclusive employee subscription and rental discounts
- 401k match
- Work from home opportunities
- Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered.
- Competitive Stakeholder Pension - taking care of your future
- Company wide events and outings - our team spirit is no joke - we know how to have fun!
- Hybrid Work - our corporate employees have the option to work remotely 3 days a week, in accordance with Company policies