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Home Side Hustle Jobs Business Intelligence Engineer

Salary Unstated

Business Intelligence Engineer

Apply Now
Full-time Remote 7d ago

Location:

US

Company:

AssetWatch provides advanced condition monitoring solutions for global manufacturers, focusing on enhancing manufacturing uptime and predictive maintenance capabilities.

Summary:

In this role, support the development of internal analytics capabilities and work with senior engineers to build reporting solutions. Ideal candidates will have 1-3 years of experience in a BI, data, or analytics role and possess skills in SQL and data visualization tools.

Requirements:

Technology: AWS QuickSight, Salesforce, AWS RDS

Hard Skills: data visualization, data integration, SQL

Experience: 1-3 years of experience working in a BI, data, or analytics role

Job Description:

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

What does your team do:

The Data Services and Business Intelligence team support the analytics and reporting needs of AssetWatch by helping to organize, manage, and improve how data flows through our systems. We work with databases, data pipelines, and dashboards to ensure accurate and timely data is available for decision-making. As a team, we collaborate with engineers and analysts to help build scalable reporting solutions, improve data quality, and make sure business teams have access to the insights they need.

What You’ll Do:

As a Junior BI Engineer, you’ll contribute to and support the development internal analytics capabilities. You’ll work closely with senior BI engineers and business teams to deliver actionable insights, build scalable reporting solutions, and continuously improve how data is leveraged. This is a hands-on, learning-rich role ideal for someone with 1 to 3 years of experience in BI, data, or analytics who’s ready to grow into a more advanced engineering role.

  • Build and maintain data visualizations and dashboards using AWS QuickSight (or similar tools).
  • Support data integration and transformation across platforms like Salesforce, AWS RDS, and Vitally.
  • Collaborate with stakeholders to identify key metrics, reporting needs, and actionable insights.
  • Document data pipelines and BI workflows to support scalability and repeatability.
  • Troubleshoot and resolve data discrepancies, ensuring data accuracy and availability.
  • Contribute to team sprints and help prioritize analytics requests from across the organization.

Who You Are

  • You have 1-3 years of experience working in a BI, data, or analytics role and are eager to grow in a fast-paced environment.
  • Able to balance getting things done with building for the future.
  • Enjoy working on small teams and having your work make a real impact.
  • Strong communication skills and ability to work cross-functionally.
  • Experience with relational databases (PostgreSQL, MySQL, etc.) and writing performant SQL.
  • Familiarity with data visualization tools (QuickSight, Tableau, Power BI, etc.).
  • Basic Python, scripting, or data transformation experience (e.g., with dbt or pandas).
  • Exposure to data modeling, data warehouse concepts, or analytics engineering best practices.

What We Offer:

AssetWatch is a remote-first rapidly growing startup providing a game changing condition monitoring platform and mobile experience in the industrial manufacturing space.

  • Competitive compensation package including share options.
  • Flexible work schedule
  • Competitive benefits and 401(k) match
  • Opportunity to make a real impact every day
  • Opportunity to work with a dynamic, growing team
  • Unlimited PTO

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. We are open to candidates from most states, as long as we all can closely collaborate within core working hours.

 

#LI-REMOTE

Apply Now

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