Datadog

Datadog

Analytics Engineer - Internal Analytics

  • Permanent contract 
  • Paris
  • > 2 years

The company

Datadog

Datadog

    The job

    Analytics Engineer - Internal Analytics

    • Permanent contract 
    • Paris
    • > 2 years

    About

    Founded in 2010 by Olivier Pomel et Alexis Lê-Quôc, Datadog is an US company based in New York, Boston, Paris and Dublin. Datadog is a SaaS-based monitoring and analytics platform for cloud-scale infrastructure, applications, logs, and more. Datadog delivers complete visibility into the performance of modern applications in one place through its fully unified platform. By reducing the number of tools needed to troubleshoot performance problems, Datadog reduces the time needed to detect and resolve issues. With vendor-backed integrations for 400+ technologies, a world-class enterprise customer base, and focus on ease of use, Datadog is the leading choice for infrastructure and software engineering teams looking to improve cross-team collaboration, accelerate development cycles, and reduce operational and development costs.

    The company announced the pricing of its initial public offering and began trading on the Nasdaq Global Select Market under the symbol “DDOG” on September 19, 2019. Datadog is experiencing tremendous growth at the moment and is constantly hiring engineering talents around the globe, especially in our Paris engineering team since we opened our Paris R&D office in 2015. Last year in 2019, we moved into our brand-new office located in the heart of the city to facilitate an even stronger and more sustainable growth.

    Job description

    About Datadog:

    We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

    The Team:

    We are building out a first-class Internal Analytics department composed of Data Engineers, Software Engineers, Analytics Engineers, Data Analysts, and Data Scientists. We ensure all teams at Datadog can easily self-serve the data and report they need to drive their projects and make decisions. If you’re excited to work on a fast-moving team using cutting-edge open-source technologies to collect, store, transform, analyze, and model data, we want to meet you.

    You Will:

    • Clean, transform, test, and deploy, in our data modeling layer, datasets that are ready for analytics so Data Analysts and the whole company can work efficiently with our data
    • Work with Data Data Engineers to expose new datasets via our direct integration tool
    • Apply software engineering best practices to analytics code such as version control, testing, and continuous integration
    • Develop and communicate strong opinions about best practices in Analytics Engineering with our community of Data Analysts
    • Automate processes around access to data & analytics using APIs and Python scripts
    • Put in place solid analytics training, and data documentation, for all Datadog teams so they can learn how to use data to answer questions and build analytics reporting for their team without assistance
    • Help build actionable foundational reporting used by many teams at Datadog to make strategic decisions

    You Are:

    • You have 2+ years experience as a Data Analyst and mastered data analysis and visualization in a Business Intelligence tool such as Metabase, Looker, or Tableau
    • You are fluent in writing analytical SQL, are able to write complex queries with no assistance, understand the difference between SQL that works and performant SQL.
    • You have worked with a data transformation tool such as dbt
    • You have experience using the command line and Git
    • You are a clear, concise communicator and can explain complex concepts to a non-technical audience
    • You have a natural curiosity and investigative mindset - driven to know “why”
    • You want to work in a fast, high-growth startup environment and thrive on both autonomy and collaboration

    Bonus Points:

    • You have some experience with data warehouses such as Redshift, BigQuery, or Snowflake
    • You have a some experience with working with APIs and a programming language such as Python

    #LI-ER1

    Equal Opportunity at Datadog:

    Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

    Your Privacy:

    Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

    Meet the team

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