Project Description

Work on a wide range of data projects in close collaboration with other data engineers, data analysts, and data scientists, to generate insights and scale a small but thriving fintech solution for real estate.

Responsibilities

  • Build code to gather, refine, and transform large diverse datasets into simplified, meaningful, and actionable aggregations
  • Analyze data, to provide information that supports decision making across the company
  • Develop reporting workbooks and dashboards in Tableau (and others)
  • Write robust SQL and sometimes Python code, operating on a modern cloud stack (Snowflake, AWS, Azure)
  • Some analyses will require basic statistical tests, and prototypes may occasionally involve building basic statistical and machine learning models (regression, random forests, etc.)
  • Collaborate with cross-functional teams to understand data flows and processes to enable design and creation of the best possible solutions
  • Be responsible for data accuracy and integrity, implement data quality processes, create data dictionaries and data governance policies.

Requirements

  • 3+ years of industry experience writing advanced SQL, developing complicated analysis and creating advanced dashboards in Tableau or other BI/viz tools
  • Structured approach to problem-solving, ability to take a broad challenge and break it down into solvable components, accounting for confounding variables and statistical challenges
  • Strong communication and collaboration skills to effectively explain, influence, and advise with interdisciplinary partners
  • Desirable: Knowledge in R, Python, data modelling, work with Airflow, DBT.

Rewards

  • Payment in USD
  • Free credentials for e-learning platforms
  • Remote workshops & activities

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