Senior Analytics Engineer

Senior Analytics Engineer

This job is no longer open

Senior Analytics Engineer

Remote, USA/Canada, Full-Time

How can you apply your technical expertise to help clients transform data into new business value?

4 Mile Analytics is a full-service consultancy with expertise in strategy, data analytics, data engineering, and software development. We believe in the power of data to form compelling narratives that drive innovation. Our guiding principle is to help our clients move up the chain of analytic maturity.

Our analysts have contributed to projects that have transformed the world’s largest companies. We focus on pragmatic solutions to our clients’ most complex data problems. Every day presents fresh opportunities to develop your technical, leadership, and business skills.

The Senior Analytics Engineer role at 4 Mile is heavily client-facing. We expect you to be comfortable speaking with clients and confident in your delivery.

We value in our teammates:

  • Curious minds who are inclined to ask, “Why?”
  • Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives
  • Driven to develop technical skills for oneself and team-mates
  • Ability to connect with clients and colleagues of different backgrounds and communication styles, through empathy and clear verbal, visual, and written communication
  • Equates professional achievement with happy end-users

You’ll work on the following:

  • dbt - Medium to Enterprise-Scale Implementations
    • Run your own projects and define your delivery methods
    • Work closely with client data and business teams to understand their use cases and provide clean, transformed data ready for analysis and reporting
    • Build data models and complex, modularized SQL queries using dbt with an eye towards performance, maintainability, and scalability
    • Apply software engineering practices (e.g. code review, testing, version control) when creating new datasets to ensure data quality across our pipelines and BI tools
    • Provide job orchestration best practices for clients
    • Train admins, developers, and end users on platform best practices
  • ETL/ELT Platforms - Connecting Data Sources
    • Implement and optimize different ETL/ELT platforms for our clients
    • Work with data engineering to construct and implement architectural data solutions
    • Provide resources and guidance on choosing different providers
  • Databases
    • Provide insight into basic strategies for database architecture
    • Consult clients on database best practices around performance and economy
    • Provide resources and guidance on choosing different providers

What we’re looking for:

  • Experience developing in dbt
  • 4+ years in a data analytics-oriented role
  • 2-4 years in consulting or other client-facing delivery
  • Excellent people skills
  • Experience with training and/or public speaking
  • Ability to write, improve, and troubleshoot complex SQL queries in front of clients
  • Clean and intuitive coding practices
  • Provide mentorship and best practices for junior members of the team
  • Ability to lead yourself and others on enterprise-scale projects
  • Ability to take ownership of projects and operate with a high degree of autonomy in a remote working environment
  • Desire to learn and grow your knowledge of the data industries
  • Work in a wide variety of industry verticals
  • Ability to document your work and enable teammates
  • Bonuses
    • Experience developing in dbt core (CLI)
    • Broad knowledge of prominent data-oriented software solutions
    • Experience developing in Python
    • Experience designing or building warehouse objects using data warehouse design frameworks & techniques (e.g. Kimball dimensional modeling, slowly-changing dimensions, Data Vault)
    • Deep knowledge of any prominent data vertical (i.e. Healthcare, Finance, Retail, etc.)
    • Experience in a distributed workplace
    • Ability for limited travel (post pandemic)
This job is no longer open
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