Job description
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.
The Amherst Group (“Amherst”) is a vertically integrated real estate investment, development, and operating platform that aims to reimagine some of the most fragmented and inefficient pockets of U.S. real estate, including single-family residential (SFR), mortgage-backed securities (MBS), and commercial real estate (CRE). Fueled by proprietary technology, deep-rooted expertise and an agile, collaborative approach, Amherst is transforming a slow-to-evolve industry by creating innovative solutions that disrupt the real estate ecosystem from end to end and unlock long-term value for the investors, residents, and communities it serves.
Amherst has over 1,400 employees, $17.4 billion assets under management and has served over 236,000 residents across the U.S. As one of the largest operators of single-family assets in the U.S., Amherst currently manages 44,000+ homes across 32 markets (19 states). Please visit https://www.amherst.com/ for more information.
Job Description
We are looking to hire an experienced Senior Data Analyst to help us keep growing through real-time, data-driven insights and strategic recommendations. You'll be a part of our fast-growing Scattered Site Renovation (SSR) Analytics & Insights team dedicated to providing best- in-class support to our core product, single family rentals. Our SSR Analytics & Insights team oversees all operations related to the acquisition, initial repair and initial leasing for our single-family rental properties.
This candidate will take unstructured business problems and build structure with data to drive insights and improve decision making. This role reports to the Director of Analytics & Insights and will collaborate closely with all business units at Amherst.
Duties and Responsibilities
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Act as primary point of contact for our Merchant Banking organization
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Support reporting and analytical initiatives for the Merchant Banking organization
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Work directly with business owners to identify business problems that can be solved leveraging advanced analytics or automation
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Transition manual tasks and legacy on-premise data to Databricks
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Collaborate directly with business leaders and technology in developing descriptive, diagnostic, predictive and prescriptive analytic solutions
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Interact with other technology teams to prepare and automate recurring /ad-hoc reporting assignments and data requests
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Leverage analytical problem-solving skills in working with large disparate, datasets to design, develop and implement operational reports and metrics
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Present findings and recommendations to business leadership
Required Experience
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Bachelor’s degree in Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, or related quantitative discipline. Experience direct related to the job duties can be substituted for educational requirements.
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3+ years’ experience in Investment Banking industry
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5+ years’ experience analyzing data, drawing conclusions, and making recommendations; financial services / investment banking industry experience is preferred
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5+ years of SQL experience, Databricks, SQL Server, Spark SQL.
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3+ years of Python experience, Databricks, PySpark
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3+ years of Databricks experience
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Experience providing actionable insights by uncovering the stories contained in data
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Experience with presenting management dashboards and reports
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Experience communicating technical and non-technical requirements to business and technology team
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Ability to be flexible and work in a fast-paced environment while meeting established timelines
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Strong written and verbal communication skills, with an ability to express relevant, technical concepts in a clear and concise manner
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Ability to see the big picture and effectively analyze complex issues
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Strong technical ability, willingness to learn and passion to evolve your skills with advances in Technology
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Analytical mindset and passion for gleaning actionable insights from raw data
Our full-time employee benefits include:
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A competitive compensation package, annual bonus, 401k match
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Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
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Employer-paid benefits (medical, dental, vision, health savings account)
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Professional career development and reimbursement
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Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
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Backup childcare offered through Bright Horizons
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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.
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