Remote Senior Data Analyst

Posted

This job is closed

This job post is closed and the position is probably filled. Please do not apply.  Automatically closed by a robot after apply link was detected as broken.

Description:

  • Endpoint is a digital title and settlement company focused on making home closing easy for all parties involved.
  • The company was founded in 2018 and has secured $220 million in funding, backed by First American Financial Corporation.
  • The Senior Data Analyst will collaborate with various teams including Product, Operations, Engineering, Revenue, and Business Development to build and maintain data solutions.
  • Responsibilities include creating and managing scalable data pipelines, designing data infrastructure, and conducting data profiling and cleansing.
  • The role requires identifying opportunities for automation and optimization of data processes.
  • The analyst will develop documentation for data pipelines and contribute to internal tools that enhance data accessibility.
  • The position also involves supporting data governance initiatives and staying updated on industry trends to improve data engineering practices.
  • The analyst will implement optimized data models for data warehouses and drive operational excellence through metrics.

Requirements:

  • A minimum of 5 years of experience in Python, focusing on data engineering tasks such as building and optimizing data pipelines.
  • Strong code quality and efficiency skills, with a focus on writing clean and maintainable Python code.
  • At least 5 years of SQL experience, including advanced skills in performance tuning.
  • Proficiency in cloud platforms such as AWS, GCP, or Azure, with experience in automating cloud infrastructure operations using Python.
  • Proven ability to design and maintain scalable data pipelines using tools like Prefect and dbt.
  • Technical leadership skills to translate complex business needs into effective technical solutions.
  • Experience in orchestrating ETL and reverse ETL processes using Python and tools like Prefect, Airflow, or Dagster.
  • A commitment to ensuring the reliability and scalability of data systems through proactive monitoring and logging.
  • Strong understanding of data modeling and managing data warehouses, particularly on platforms like Snowflake, Big Query, and Redshift.

Benefits:

  • The opportunity to join a fast-growing company where you can make a significant impact.
  • Work alongside industry experts and innovative minds in technology.
  • A vibrant, welcoming, and inclusive company culture.
  • Responsibility and autonomy in your daily work.
  • Opportunities for career advancement and internal mobility.
  • Customizable benefits including Health, Dental, Vision, and 401K Match.
  • Flexible work options for specific roles.
  • Participation in virtual and in-person team events.
  • Competitive compensation with a salary range between $125,000 and $170,000, plus an annual bonus.
About the job
Posted on
Job type
Salary
$ 125,000 - 170,000 USD / year
Experience level
Technology stack
Leave a feedback