Business Intelligence Engineer job in Los Angeles, CA | Rep...

Business Intelligence Engineer
RepairSmith, Inc.Los Angeles, CA9 days ago
We are looking for a savvy Business Intelligence Engineer to join our growing team of Data Science and Business Intelligence. The successful candidate will work on impactful projects that range from creating various data integration piplines and data models in the company’s data platform to understanding reporting requirements from business stakeholders and providing technical solutions. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with data, building and optimizing data systems from the ground up. The successful candidate will develop and maintain our data and reporting platforms and will ensure optimal data delivery artchitecture is consistent throughout ongoing projects. The candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

This role will be reporting to a BI Director with 20 years of leadership experience across multiple industries & platforms, and will be part of the overall Data Science team run by our Chief Data & Analytics Officer.

  • Build the infrastructure required for optimal extraction, transformation, and load (ETL/ELT) of data from wide variety of data sources using SQL and Azure cloud services.
  • Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Marketing, Data, Engineering and Operations teams to assist with data-related technical issues and support their data inforastructure needs.
  • Keep our data separate and secure across the boundaries of data centers and regions.
  • Make sure data security and privacy is compliant with required data protection laws and regulations like CCPA, GDPR, etc.
  • Collaborate and create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
  • Create, maintain and enhance dashboards, reports and other visualizations for stakeholders.
  • Tightly collaborate with Product and Engineering teams on project planning and design processes.


1 month:
This person will:
Understand the company business context, data sources and BI infrastructure available. Take over maintenance and enhancement of the current data integration pipelines and Power BI reports.

3 months:
This person will:
Fully manage data integaration processes, investigate and recommend possibly improvements for scalability and reliability. Streamline report development and delivery process in Power BI.

6 months:
This person will:
Have worked with stakeholders to design the evolution of the data and reporting platform in consideration with future data growth, integrations with new data vendors and demand for analytics and data mining.

  • 5+ years of experience in a Data Engineering role,
  • Educational background in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems or another quantitative field.
  • Experience with relational SQL databases, including MS SQL Server, PostgreSQL.
  • Experience with Microsoft Azure clound services: Azure Data Factory, Data Pipelines, Data Bricks, Azure Functions, Storage, SQL Database and/or Data Warehouse, etc.
  • Experience with Microsoft Power BI or similar analytical and reporting tools.
  • Computer programming skills including Java, JavaScript, Node.js, Python, R, SQL, XML, JSON.
  • Experience with project management and collaboration tools such as Jira, Confluence, Slack, etc.
  • Experience designing, building and optimizing scalable data pipelines and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Intellectual curiosity to find new and unusual ways of how to solve data management issues.

  • Competitive salaries (DOE)
  • Unlimited vacation time
  • Work from home capabilities
  • 100% company-paid medical, dental, and vision insurance
  • Equity share; a percentage of the long-term value we create together
  • Casual atmosphere and great people to work with


RepairSmith is on a mission to deliver convenient auto repair everywhere with its disruptive service, offering the first and only full-service mobile solution for automotive repair and maintenance.
The company delivers complete mobile repair and maintenance to car owners with the convenience of online booking and instant price quotes, combined with five-star quality service at fair, affordable prices. RepairSmith also delivers repair and scheduled maintenance on-location to fleet operators, car rental agencies, and dealership customers.
Founded in 2018, RepairSmith is based in Los Angeles and offers service in 650+ cities across six states with over 100,000 service appointments completed to date. All RepairSmith technicians are employees of the company, equipped with customized state-of-the-art mobile service vans to deliver a best-in-class experience. Named one of Fast Company’s Most Innovative Companies of 2021, RepairSmith is backed by TI Capital, Mercedes-Benz, Porsche Ventures, Spring Mountain Capital, and other venture and automotive investors.
To learn more, visit and follow the company on Instagram, Facebook, Twitter, LinkedIn, Pinterest, and YouTube.

Interviews will take place after resumes have been screened for minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.

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