Product Analytics Engineer

Main Location
Boston, MA, United States
Open jobs
powertofly approved What Pluralsight Has to Offer:

Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate and create progress for the world. Named one of our best work-from-home companies in 2020, Pluralsight believes in using technology to make the world a better place. They offer great benefits like:

  • Unlimited PTO
  • Competitive compensation (fair salary, bonus plans + equity)
  • Tuition reimbursement
  • Office and home office perks!
  • Do you like working with big data and using it to drive decisions that impact the lives of people every day? Pluralsight’s Experience Strategy team is charged with providing data-driven insights and strategic recommendations to shape the future of the learning experience that we deliver daily to 1M users across 150+ countries.

    This role is bigger than creating dashboards. It will play a critical role in driving decision making. Specifically, the role will support the Product organization and focus on measuring user engagement to help improve product performance and support strategic business objectives.

    Who you are committed to being:

    • Pathologically data-driven.
    • Voraciously curious. Constantly learning, exploring new concepts for growth and impact.
    • Entrepreneurial. Scrappily finding opportunities and getting things done.
    • Humble and thoughtful enough to pivot when the data suggest a change.
    • Quick, yet collaborative. Gets things done without alienating collaborators.
    • A systems-thinker. Always watching for second-order implications.
    • A teacher. Evangelizing user engagement analysis, and helping others see the vision.

    What you’ll own:

    • Make data-driven recommendations to the Product organization on how to improve the user experience and business performance based on an understanding of the entire ecosystem, not just one feature or data point.
    • Serve as a quantitative balance throughout the entire product development process (research, design, implement, and iteration).
    • Define, build, analyze, and monitor new KPIs that inform product strategy.
    • Analyze and report on user behavior to non-technical business partners.
    • Collect, process, clean, transform and validate data from a variety of sources so that it can be used for analysis by the team and the business.
    • Coordinate, validate, and monitor Adobe Analytics site tracking parameters/implementation.
    • Understand Pluralsight business, product strategy, data, and tools.
    • Create and validate ETL pipelines based on client side data to generate views/tables.
    • Develop, document, and implement data models that drive deep and holistic understanding of how users engage with our ecosystem via a mix of deterministic/statistical methods, models, and algorithms using Python, R, or Scala

    Experience you’ll need:

    • Ideally, BA/BS degree in either a CS, Applied Mathematics, Statistics, Economics, or another quantitative discipline.
    • Extensive experience with Adobe Analytics or Google Analytics reporting consoles.
    • Solid understanding of client-side analytics tracking and event/metadata tagging strategies.
    • Experience debugging differences between the client-side data layer and the analytics reporting console.
    • Ability to understand and articulate how data points and product features interrelate and impact other larger systems or user behaviors.
    • Experience with data management platforms (e.g. AWS, Hadoop, PostgreSQL, BigQuery)
    • Expertise writing, tuning and maintaining complex SQL statements
    • Expertise in a programming language (Python, Scala, Java) for statistical analysis, data pipeline management, and analytics implementation.
    • Ability to programmatically manipulate and analyze large complex data sets from a variety of sources. This includes both ad hoc analysis as well as long form presentations.
    • Experience with data warehousing architecture, modeling, pipeline and ETL processes and tools.
    • Excellent at communicating/breaking-down complex data and its implications to technical team members and non-technical business partners.
    • Some experience using Tableau.
    • Ability to prioritize tasks and projects in an environment with sporadic needs

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    Product Analytics Engineer