Analytics Engineer

11 Months ago • 4-8 Years • Software Development & Engineering

Job Summary

Job Description

As an Analytics Engineer, you will lead data pipeline, data strategy, and data visualization efforts for the Data & Analytics organization at STAGE. You will be responsible for designing and implementing data models, partnering with stakeholders to build analytical solutions, automating data manipulation, and creating frameworks for the team. You will also participate in creating analytics development standards, create solutions for data anomalies, ready data solutions, and explore new opportunities. You will work closely with the wider Product Analytics team to drive business insights and strategy.
Must have:
  • Design and implement data models.
  • Write clean and fast SQL code.
  • Experience with data warehousing concepts.
  • Experience using dbt to build transformations.
  • Experience with DAGs and batch-processing.
Good to have:
  • Experience with digital products or streaming services.
  • Strong written and verbal communication skills.

Job Details

As a Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Data & Analytics organization at STAGE. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Product Analytics team to drive business insights and strategy.


What Will You Do?

  • Design and implement data models that support flexible querying and data visualization.

  • Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.

  • Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.

  • Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.

  • Participate in the creation and support of analytics development standards and best practices.

  • Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.

  • Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.

  • Identify and explore new opportunities through creative analytical and engineering methods.


What To Bring?

  • Bachelor's degree in Engineering

  • 4-8 years of relevant experience in business intelligence/data engineering

  • Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases

  • Experience in using dbt to build transformations.

  • Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records

  • Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats

  • Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)

  • Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.

  • Proficiency with Git (or similar version control) and CI/CD best practices

  • Experience in managing workflows using Agile practices

  • Ability to write clear, concise documentation and to communicate generally with a high degree of precision

  • Ability to solve ambiguous problems independently

  • Ability to manage multiple projects and time constraints simultaneously

  • Care for the quality of the input data and how the processed data is ultimately interpreted and used

  • Experience with digital products, streaming services, or subscription products is preferred

  • Strong written and verbal communication skills



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About The Company

CyberArk's mission is to secure the world against cyber threats so together we can move fearlessly forward. CyberArk is a global leader in identity security, helping organizations worldwide protect their most valuable assets and critical infrastructure. They offer a comprehensive platform that addresses the evolving challenges of identity-related risks, providing solutions for workforce access, privileged access, customer access, and machine identity security. CyberArk is committed to innovation and providing cutting-edge security solutions that empower their customers to be more secure and efficient.

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