A US-based company providing capital to real estate investors to fund deals, loans, and mortgage financing remedies is looking for a Data Analyst. The selected candidate will work closely with the engineering team to understand and represent the data team. The company is utilizing technology to provide new funding solutions that will fundamentally change the real estate industry. This is an exciting opportunity for developers who enjoy working in a fast-paced environment while applying their problem-solving and analytical skills.
Job Responsibilities:
Understand and document data product requirements in collaboration with Product Managers, data analysts, and data scientists
Use data discovery to understand the current data landscape and document the details
Work with business stakeholders to refine and respond to ad hoc requests and improve existing reporting and dashboards
Work with product and engineering teams to understand the application data model and represent the data… team on the impact of any changes on downstream analytics
Transform various raw data sets (the application database, third-party data sets, and logs) to an analytics-friendly data structure (likely in SQL)
Record relevant technical and business metadata, as well as project summaries
Serve as a data steward to monitor and improve the data quality
Job Requirements:
Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience)
At least 4+ years of relevant experience working as a data analyst
Expertise in SQL and comfortable working with large, complex data sets
Proven ability to work collaboratively with technical and non-technical colleagues in various business functions at all levels
Hands-on experience constructing visual analytics with Tableau or Looker
Working knowledge of an analytics data warehouse like Snowflake, Redshift, and BigQuery
Familiarity with different data models
Knowledge of the fundamentals of statistics and probability
Familiarity with fundamentals of data pipelines
Knowledge of Agile and test-driven methodologies
Strong verbal and written English communication skills
Strong analytical skills and passion for answering questions with data