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Senior Data Analytics Engineer @Nerdery

[Hiring] Senior Data Analytics Engineer @Nerdery

Mar 28, 2025 - Nerdery is hiring a remote Senior Data Analytics Engineer. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Senior Data Analytics Engineer will design and implement cutting-edge data solutions that drive real business impact. This role will bridge the gap between technical and business worlds, transforming complex data into actionable strategies.

  • Working closely with Google and leveraging GCP tools like Looker and BigQuery
  • Develop dashboards, LookML models, and data-driven insights that address client challenges
  • Showcase the value of our offerings, driving new business opportunities
  • Shape data strategies in a fast-paced, consultative environment

Qualifications

  • Bachelor’s Degree in Computer Science or related field
  • 5+ years of experience in data analysis or business intelligence, with at least 3+ years utilizing Looker and GCP
  • Strong understanding of data modeling, data warehousing, and dimensional modeling concepts
  • Demonstrated experience working with clients in various industry verticals
  • Excellent comprehension of Looker and its implementation
  • Experience with Google Cloud and its data services preferred
  • Excellent programming skills in Python
  • Solid understanding of data modeling, ETL processes, and data integration techniques
  • Strong problem-solving skills and the ability to translate business requirements into technical solutions
  • Proficiency in SQL (CloudSQL Preferred) and deep experience with data visualization tools
  • Experience with GCP data services like BigQuery, Looker, etc.
  • Excellent communication and presentation skills, with a consultative approach
  • Ability to work independently and as part of a team in a fast-paced environment

Requirements

  • Experience with GCP security tools and best practices
  • Google Cloud certifications and any analytics platform certifications are a plus
  • Experience with containerization technologies like Docker and Kubernetes
  • Familiarity with Agile methodologies

What You'll Do

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Design and develop visually compelling and interactive dashboards
  • Create dashboards that tell a story with data, highlighting key insights
  • Prioritize design and aesthetics in dashboard creation
  • Work with Clients to enable them on the Looker Platform
  • Develop and maintain LookML models to create a semantic layer for business users
  • Conduct performance tuning and optimization of data analytics solutions
  • Advise clients on how to develop their analytics centers of excellence
  • Perform ad-hoc data analysis using SQL within BigQuery and other tools
  • Collaborate closely with Data Engineers and Solutions Architects
  • Write clean, efficient, and scalable code (LookML, Python as applicable)
  • Stay current on the latest data visualization and analytics trends
  • Provide technical guidance and mentorship to junior team members

What Skills Will Help You Be A Successful Nerd?

  • Strong communication skills: Able to effectively explain technical decisions to non-technical stakeholders
  • Process improvement: Experienced in identifying process pain-points
  • Collaborative Problem Solver: Able to take initiative to understand a problem
  • Client interaction: Comfortable interacting with clients
  • Risk assessment and communication: Proven ability to clearly communicate risks and impacts

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Before You Apply
📍 Be aware of the location restriction for this remote position: USA
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Senior Data Analytics Engineer @Nerdery
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type unspecified
Posted Mar 28, 2025
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📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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