Company Description:
We are on a mission to help homeowners achieve financial security and build wealth through their home, while also making that wealth more accessible. EasyKnock is creating an entirely new category of loan-alternatives that disrupt the rigid way lending worked in the past, we can help millions of people convert their home equity. A New York City-based company founded in 2016, EasyKnock offers personalized financial solutions for American homeowners in various circumstances. We eliminate the hassle of dealing with banks, lenders, and moving by bringing our customers residential sale-leaseback programs. This means that EasyKnock purchases the house from the customer, getting them their home value upfront, with a lease to stay in the home as a renter until they are ready to move or repurchase.
We are looking for compassionate people who find joy in connecting others with creative solutions to access the value of their home. If you have a growth mindset, find absolute thrill in building a new business and excel in a dynamic work culture, we want to talk to you.
Position Description
We want to build on our early success and funding round and aim to bring our analytics to the next level. We’re transitioning to a Redshift data mart pulling data from Hubspot, Salesforce, and a variety of commercial and proprietary sources - and will be adding more. We’re moving from Sheets to Tableau reporting for critical business functions and are rolling out product and data changes to better capture our customer profiles and needs. We’re at a place where we need a Data thought leader that can do and teach as well as guide and direct as we grow the business and the team. Successful candidates are people who are excited about solving challenging business problems and want to see their data informed recommendations result in high-value strategy and process improvements.
What you'll be doing:
- Work with stakeholders across EasyKnock to help them improve processes and implement data-informed strategies by conducting research and analysis that solves impactful business problems
- Lead a team of Data Engineers and Analysts in our Technology organization, managing data and analytics projects and prioritization as we centralize, standardize, and evolve our analytics
- Define use-cases and stories, that will drive the evolution of our data marts, based on stakeholder needs and outline how value and success will be measured
- Accountable for delivering quality insights and reporting to partner teams like Product, Sales, and Marketing, but as a team player that can critically analyze requests and push back as needed
- Being both a thought leader and a competent practitioner in data warehousing, ETL pipeline development, KPI development, analytics, reporting amp; visualization, and machine learning
- Provide insight, expertise, and direction into analytics projects like Lead Scoring, Customer Lifetime Value modeling, Marketing Channel Attribution, Sales Funnel Optimization, and more.
Requirements
- 7+ years of experience working in Business Analytics, Business Intelligence, Data Science, or Data Engineering and 2+ years of experience managing and leading teams
- Ability to independently solve complex problems and prioritize multiple analysis work streams across team of analysts that focus on high value business opportunities
- Ability to quickly understand EasyKnock products, how source systems generate data, and how data is organized in the data mart
- Possess the skills (e.g. SQL, Python, R) to quickly join, clean, and aggregate data from multiple table or sources across the data mart
- Strong communication skills which enable you to convey technical insights to non-technical audiences in a way that translates actions into business value
- Experience working in modern Tech shops; Agile, Github, daily standups, etc.
- Strong technical skills (SQL, Python, Scala, etc), excellent analytics and data visualization chops, and an ability to roll up sleeves and execute as needed.
- Comfortable working in a fast-paced environment; strong communication and prioritization skills
- Innate ability to discern between the ‘must have’ and ‘nice to have’ and manage scope-creep
Nice to have:
- Experience in Finance, Consumer Lending, Mortgage, or Real Estate industry
- Experience with Redshift, BigQuery and/or Snowflake
- Experience with cloud computing platforms (e.g. GCP, AWS, Azure)
Benefits
What you'll receive:
- Competitive base salary
- Full benefits plus generous PTO
- Option to work remotely
- Opportunity to be part of a fast growing company in the financial technology industry
- A chance