Sr. Analyst, Business Analytics
Dallas, TX
Evergreen Residential
Evergreen Residential is a high growth early-stage institutional investment platform in the single-family residential ('SFR') sector. We are committed to changing the way investors own and manage SFR homes, and to building a modern way to deliver the data, tools and services that enable our clients to invest in the world’s largest asset class at scale. Our team is collaborative, open-minded and curious. Transparency is a core value, we speak our minds, are responsible for our actions and celebrate our wins. We are serious about our business, but we don't take ourselves too seriously.
We offer a flexible, empowering culture, competitive compensation and benefits, and the opportunity to work with and learn from industry pioneers and experts.
If you are self-motivated and mission driven with a ‘can do’ mindset and see solutions where others may see problems, come and grow with us
At Evergreen, we are building a modern way to deliver the data, tools and services that enable our clients to invest in the world’s largest asset class at scale. The optimization of data and automation of reporting will be critical to our success as we continue to scale our product offerings. In this position, you will provide date-driven insights and automated reporting for internal and external stakeholders.
If you are an accomplished business analytic professional, have a passion for real estate, and a talent for analyzing processes and providing data-backed strategic recommendations, let’s talk!
This position will be based in our downtown Dallas offices, though we will consider a hybrid work schedule.
The Role: This position includes, but is not limited to, the following responsibilities.
- Partner with teams across Evergreen to develop various descriptive, diagnostic, predictive, and prescriptive analytics solutions
- Analyze business processes, understand key trends and drivers from the data, identify issues and opportunities, and provide data-backed strategic recommendations to improve operational performance
- Develop forecasting models to predict operational timelines
- Build and maintain wiki pages for your analyses by providing clear documentation of business processes, data sources, calculations, business logic, and assumptions
- Present findings and recommendations to business leadership in a clear, concise, and compelling manner
- Highlight key trends derived from data analysis and be a resource for improving data proficiency throughout the organization
Qualifications and Experience:
- Bachelor’s degree focused on a quantitative discipline such as Finance, Engineering, Management Information Systems, Economics, Mathematics or Computer Science
- 3-5 years’ experience in business analytics, data analytics, and/or data science
- Demonstrable talent for deriving actionable business insights from raw data, able to draw meaningful conclusions and present recommendations in a compelling way
- Expert in SQL query writing and optimization with strong ability to read, understand and reverse engineer queries. Experience working in a Snowflake environment preferred.
- Advanced Python skills with experience building machine learning models
- Advanced Excel and PowerPoint skills
- Experience with process documentation tools such as Lucid Chart and Visio
- Experience using Tableau for data storytelling
- Comfortable presenting findings and analyses to internal and external stakeholders
- Strong attention to detail with ability to identify anomalies in the data
- Experience in the Real Estate Industry is desirable
What Else You’ll Bring to the Table:
- Proactivity in understanding and anticipating stakeholder requirements
- Analytical mindset, adept at critical thinking and problem solving – able to operate with a strategic mentality and tactical execution
- Excellent written and verbal communication skills. Able to convey complex, technical concepts in a clear and understandable way
- Collaborative team player, who can effectively interact both cross functionally and with team members from non-technical disciplines
- Highly organized with excellent project management skills and strong attention to detail
- Motivated self-starter who can effectively manage ambiguity and adapt to rapid change
- Demonstrated ability to perform effectively in a fast-paced and demanding environment
- Desire to learn new technologies and strive to constantly improve personal skills
Please do not rely on compensation estimates for our jobs that are posted on sites other than our direct website as these may be misleading.
About Evergreen Residential
Founded in 2021, Evergreen Residential is a full-service SFR platform leveraging proven operational practices and the latest technological advances to optimize investor returns and achieve positive outcomes for our residents and the communities in which we operate. We offer a full suite of services, including Investment Management, Asset Origination, and Advisory Services. The firm is headquartered in Dallas with offices in New York City.
The leadership team has extensive experience dating back to the early institutionalization of SFR and unrivaled depth of experience in the complete asset life cycle. We are built to withstand changing market conditions, and our business produces resilient, predictable cash flows and margins. We are committed to charting new paths and using data to achieve best-in-class results. Our business is evergreen.
Beyond financial returns, the Company is committed to measurable impact objectives. We believe that inclusive and equitable management, environmentally sustainable long-term strategies, and resident-focused policies are good business - for our residents, our investors, and our team. We are committed to using environmentally sustainable practices and empowering our residents to improve their financial health.
Our cornerstone values - Accountability, Transparency and Partnership - are built on a foundation of Integrity and provide the roadmap for our daily actions, interactions and decisions.
Equal Opportunities and Other Employment Statements
We are deeply committed to building a workplace and community where inclusion is not only valued but prioritized. We take pride in being an equal opportunity employer and seek to create a welcoming environment based on mutual respect, and to recruit, develop and retain the most talented people from a diverse candidate pool. All employment decisions shall be made without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other basis as protected by federal, state, or local law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Computer Science Data analysis Data Analytics Economics Engineering Excel Finance Machine Learning Mathematics ML models Python Snowflake SQL Tableau
Perks/benefits: Career development Competitive pay Flex hours Health care Startup environment
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