Data Analyst Lead
Data Analyst Lead
The Amherst Group of companies comprise of leading real estate investment and advisory firms with a mission to transform the way real estate is owned, financed and managed. Amherst leverages its proprietary data, analytics, technology, and decades of experience to seek solutions for a fragmented, slow-to-evolve real estate ecosystem and to materially improve the experience for residents, buyers, sellers, communities, and investors. Today Amherst has over 1000 employees and $14.1 billion in assets under management.
Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 46,000 homes across 32 markets in the U.S. The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team. In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending. Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 188,000 residents the firm has served.
Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 40,000 homes across 28 markets in the U.S. The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team. In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending. Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 165,000 residents the firm has served.
About the Team
You will be part of an Analytics team that dedicated to supporting the Scattered Site Renovation (SSR) Operations. The team consists of three pillars, in-house consultancy, advanced analytics, and business intelligence. We are a group of skilled strategists, consultants, and analysts who work together to tackle our hardest problems. Our goal is to develop the next generation our business leaders who have the technical and business skills to succeed in any role. We act as a single unit to build trust, create solutions, and improve the quality of products and services Amherst offers.
Duties and Responsibilities
Work directly with business owners to identify business problems that can be solved leveraging advanced analytics
Support reporting and analytical initiatives for the Amherst SSR organization acting as the primary liaison for the business to the Business Intelligence and Technology teams
Collaborate directly with business leaders and technology in developing descriptive, diagnostic, predictive and prescriptive analytic solutions
Interact with the business intelligence and other technology teams to prepare and automate recurring /ad-hoc reporting assignments and data requests
Leverage analytical problem-solving skills in working with large disparate, datasets to design, develop and implement operational reports and metrics
Present findings and recommendations to business leadership
Required Experience
Bachelor’s degree in Computer Science, MIS, Analytics, Data Science, Mathematics, Economics, Finance, Engineering, or any related discipline
Advance degree (MBA, MS, etc.) is a plus, but not required
5+ years of relevant experience in data analytics roles
3+ years of SQL experience
3+ years of reporting/dashboard development (Tableau preferred)
Qualification
Experience analyzing data, drawing conclusions, and making recommendations; financial services / investment banking industry experience is preferred
Experience providing actionable insights by uncovering the stories contained in data
Experience with presenting management dashboards and reports
Experience communicating technical and non-technical requirements to business and technology team
Ability to be flexible and work in a fast-paced environment while meeting established timelines
Strong written and verbal communication skills, with an ability to express relevant, technical concepts in a clear and concise manner
Ability to see the big picture and effectively analyze complex issues
Strong technical ability, willingness to learn and passion to evolve your skills with advances in Technology
Analytical mindset and passion for gleaning actionable insights from raw data
“Nice-to-Haves”
Experience with at least one other data analytics programming language such as Python
Familiarity with SCRUM or similar agile discipline
Experience as a project, product, or program manager
Knowledge of advanced data science concepts such as ML, AI, or NLP is a plus
Knowledge of modern cloud data technologies (Databricks, Snowflake, etc.)
Our full-time employee benefits include:
A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events
Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.