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Senior Data Analyst Jobs
Company | Amherst |
Address | Austin, Texas Metropolitan Area, United States |
Employment type | FULL_TIME |
Salary | |
Category | Real Estate,Investment Management |
Expires | 2023-08-10 |
Posted at | 10 months ago |
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.
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
- Work directly with business owners to identify business problems that can be solved leveraging advanced analytics or automation
- Act as primary point of contact for our Merchant Banking organization
- Collaborate directly with business leaders and technology in developing descriptive, diagnostic, predictive and prescriptive analytic solutions
- Transition manual tasks and legacy on-premise data to Databricks
- Interact with other technology teams to prepare and automate recurring /ad-hoc reporting assignments and data requests
- Support reporting and analytical initiatives for the Merchant Banking organization
- Present findings and recommendations to business leadership
- Leverage analytical problem-solving skills in working with large disparate, datasets to design, develop and implement operational reports and metrics
Required Experience
- 3+ years’ experience in Investment Banking industry
- Experience providing actionable insights by uncovering the stories contained in data
- Experience with presenting management dashboards and reports
- Analytical mindset and passion for gleaning actionable insights from raw data
- Ability to be flexible and work in a fast-paced environment while meeting established timelines
- 3+ years of Databricks experience
- Ability to see the big picture and effectively analyze complex issues
- Experience communicating technical and non-technical requirements to business and technology team
- Strong technical ability, willingness to learn and passion to evolve your skills with advances in Technology
- 5+ years of SQL experience, Databricks, SQL Server, Spark SQL.
- Strong written and verbal communication skills, with an ability to express relevant, technical concepts in a clear and concise manner
- 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.
- 5+ years’ experience analyzing data, drawing conclusions, and making recommendations; financial services / investment banking industry experience is preferred
- 3+ years of Python experience, Databricks, PySpark
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