SkyWatch

Analytics Engineer I

Hybrid Remote - Kitchener, Ontario - Remote, Canada

$70-100k

Full Time

17 minutes ago

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Job description

SkyWatch is at the forefront of revolutionizing how satellite data is accessed and utilized globally. Our innovative platform empowers businesses, researchers, and governments to easily integrate satellite data into their operations, driving informed decision-making and unlocking new opportunities for growth and efficiency.

Founded on the principle of democratizing access to space-based technology, Skywatch provides a seamless interface that aggregates data from numerous satellite sources, offering unparalleled access and insights.

Whether monitoring agriculture, managing infrastructure, or advancing scientific research, our scalable solutions cater to diverse industries with a commitment to reliability, security, and sustainability.

Our Products

Our suite of applications - EXPLORE, HUB, MAP, BUILD, and CONNECT - is tailored to meet the diverse needs of users on the SkyWatch platform. Whether you are an individual purchasing data for a project, a business seeking to store and share geospatial data, a GIS specialist in need of imagery for maps or workflows, a developer looking to build innovative solutions with our API, or a data provider seeking to sell to our user network, you can do it with SkyWatch.

Join us in shaping the future of satellite data utilization. Together, we're accelerating innovation and transforming industries worldwide.

Our Culture

Culture is the personality of a company. It is our company's shared beliefs, values, and practices. At SkyWatch, our culture is incredibly important to us, and we practice it every day. Both as a company and in our products we value simplicity, dependability, and empathy

About the Role

Compensation: $70,000 - $100,000 CAD

As an Analytics Engineer I, you’ll play a pivotal role in shaping the data infrastructure and analytics capabilities of our fast-growing space-tech company. This role is ideal for a data generalist who thrives on variety and collaboration, working with SQL, Python, and Business Intelligence (BI) tools like AWS Quicksight or Metabase to design and implement data pipelines, ETL processes, and integrations with platforms such as Salesforce. You’ll create and manage data models, support internal stakeholders with data exploration and analysis, and contribute to building scalable, innovative data solutions.

Key Duties and Responsibilities

Collaborate with cross-functional teams to design and implement data pipelines and ETL processes
Develop and maintain data integrations with various platforms, including Salesforce
Assist in data exploration, transformation, and analysis for internal stakeholders
Create and manage data models for reporting and analytics
Wear multiple hats in a growing data team, taking on both engineering and analytical tasks as needed

Skills and Experience

A University degree, college diploma or equivalent
1–3 years of hands-on experience with SQL and Python
Experience as a data generalist, ability to wear multiple hats
Demonstrated experience with at least one BI tool
Willingness to learn and adapt to new technologies quickly
Strong communication skills and ability to work in a small, fast-paced environment
Familiarity with cloud environments (AWS) and Databricks for data processing
Experience with Customer Relationship Management integrations (Salesforce)
Experience with forecasting and modeling

What will excite us

You’re enthusiastic about joining a rapidly growing space-tech company
You’re comfortable taking on varied responsibilities and collaborating in a tight-knit team
You’re eager to innovate and optimize data architecture and analytics processes