About us - The Analytics Engineering Studio

The DX Company is a data and analytics engineering studio located in the heart of Silicon Valley. Our goal is to enable our customers to deliver delightful digital experience through data orchestration and analytics solutions without requiring them to invest in expensive infrastructure, software, or talent.

Our impact is most felt in working with teams who are experiencing the burden of reconciling 'unsanitized' data — which are usually sourced from multiple vendors, events, web forms, and list uploads. With data orchestration and ETL, our work enables team members to be data-citizens and be more productive and confident of reporting to their stakeholders.

Our guiding principles - Trustworthiness. Dedication. Perseverance.

Values that we believe allow us to deliver the best work for our customers.

  • Trustworthiness. Trust is at the heart of our business. We endeavor to build and maintain a strong trusting relationship with customers, partners, suppliers, and employees.
  • Dedication. We are strongly committed and devoted to customer success and happiness. It means putting in the time, effort, and energy to achieve even the near impossible.
  • Perseverance. We persist and continue to pursue our customer goals and challenges—despite difficulties, obstacles, or failures—until we achieve impactful results.

Want to learn more? - The Analytics Engineer

Analytics engineers work with data and uses software engineering skills to create data pipelines, models, and reports. They help collect, transform, analyze, and visualize data for different purposes, such as business intelligence, machine learning, or data science. They also collaborate with other data professionals, such as data analysts, data scientists, and data engineers, to deliver high-quality and reliable data solutions.

Some of the skills and tools that an analytics engineer uses are:

  • SQL: language for querying and manipulating data in databases
  • Python: programming language that can be used for data analysis, automation, and scripting
  • Fivetran: automated data movement platform that extracts, loads, and transforms data from various sources to cloud data platforms
  • dbt: tool that helps analytics engineers write, organize, and document their data transformation code
  • dbt Cloud: tool that helps analytics engineers deploy and run their data pipelines on the cloud
  • GitHub: platform that helps analytics engineers manage their code versions, collaborate with others, and review changes.

An analytics engineer is a valuable role in the data industry because they can bridge the gap between data engineering and data analysis. They can ensure that the data is accurate, consistent, and accessible for various use cases. They can also help to create a culture of data-driven decision making in their organizations.

Tell us about your data project.