Analytics Engineer - Architecture

Company Description

Founded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology learning platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world.

Working at Pluralsight

At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do everyday, we empower the people who power our world.

And we don’t let fear, egos or drama distract us from our mission. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one.  

Job Description

At Pluralsight, Analytics Engineers are the irreplaceable bridge between Data Engineering and the deeply valuable insights derived from Analysts and Data Scientists across the organization.

How would you like to work on data using and building some of the tools that are critical to moving & transforming this data into valuable and insightful information? What about presenting that data in a way individuals can consume visually in a quick and easy manner? Analytics Engineers work very closely with all aspects of data, both internal and external, and they need the mindset to use a variety of tools and platforms to suitably move data across systems and build essential data sets needed to perform analysis.

The perfect applicant for this role will have a profound ability and willingness to guide others through the data and analytics infrastructure, as well as the skills that it takes to participate in the design and development of creative and innovative data solutions.

As an Analytics Engineer, you will:

  • Acquire structured and unstructured data and prepare the data for analysis. This includes cleansing and transforming the data, creating derived data attributes when needed, documenting and communicating key assumptions and caveats, and employing sound recommendations for handling missing data points

  • Use your ability as a “systems thinker” to proactively identify and transform suboptimal data for the purpose of maximizing derived insights and impact

  • Design, Architect and Develop data solutions to help product and business teams make data driven decisions

  • Interface closely with Analysts, Data Scientists, Data Engineers, as well as other operational teams within the business to create cross-functional relationships that help with the understanding of company data needs.

  • Develop deep understanding of data models – write queries and manage data transformation to enable analytics and reporting

  • Help analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives

  • Extract patterns from a large datasets and transform data into an informational advantage

  • Support end users on ad hoc data usage

You’d be a great fit if your current track record looks like this:

  • Expertise with SQL and at least one programming language (PowerShell, Python, Perl etc.)

  • Knowledge of Adobe Analytics and Clickstream data feeds

  • Administration experience for data visualization tools such as Tableau, Domo, Looker, etc

  • Proficiency and experience with data visualization tools and/or languages

  • Strong foundation in Database Systems

  • Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities

  • Experience with data warehousing architecture and data modeling best practices: Experience with Hadoop, Athena, Impala or Hive preferred

Additional Information

Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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