Analytics Engineer

Traffic Tech Inc.

$80K — $110K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data analytics or data engineering roles.
  • Proficiency in SQL and experience with dbt.
  • Expertise in DAX and building PBI semantic models.
  • Solid understanding of dimensional modeling techniques, particularly Kimball.
  • Familiarity with Git for version control and collaboration.
  • Committed to continuous learning and leveraging AI tools for increased productivity.
  • Strong communication skills for clear collaboration with internal customers.

Responsibilities

  • Collaborate with internal stakeholders to define and translate data needs into technical specifications.
  • Design and maintain robust data pipelines using Data Vault methodology for data extraction and integration.
  • Develop PBI semantic models to centralize business logic and optimize reporting processes.
  • Ensure the reliability and accuracy of data warehouse operations by monitoring data availability and integrity.
  • Identify and implement enhancements to elevate data quality standards.
  • Maintain adherence to internal development protocols and best practices.

Benefits

  • Comprehensive training and mentorship programs.
  • Medical and dental insurance coverage.
  • Life and AD&D insurance provisions.
  • Long-term disability benefits.
  • Generous personal and volunteer time off.
  • Vacation days available post-probation.
  • On-site amenities including free parking, a full-service bistro, gym, and complimentary coffee.
  • A supportive and dynamic work culture promoting a proactive approach.
Full Job Description
Your Part in It:

We are looking for an Analytics Engineer, excited to work with data to help provide the company with impactful tools to support decision-making across the company. We are looking for dynamic and creative people eager to learn every day and make a difference!

As an Analytics Engineer, you will be part of the central team that builds a data platform to make it easy for the data consumers in the company (self-service BI, financial & operational reporting, analytics, reverse ETL) to have access to the data that they need. You will be part of a small team of 3, so you will have exposure to all aspects of data engineering tasks, but with a focus on analytics engineering. You should strive to implement best practices to build a modern, scalable data platform.

ANALYTICS ENGINEER

What the Job Entails:
  • Work with internal customers to understand their data needs, and translate into technical requirements;
  • Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse, using Data Vault methodology;
  • Build and maintain PBI semantic models that centralize business logic and simplify reporting;
  • Monitor the availability and integrity of the data warehouse, and address accordingly;
  • Identify opportunities to improve data quality;
  • Contribute to and enforce internal development standards.


What We Are Looking For:
  • 7+ years of experience in a data analytics or data engineering role;
  • Experience with SQL;
  • Experience with dbt;
  • Experience with DAX
  • Experience with PBI semantic models;
  • Experience with dimensional modeling (Kimball);
  • Experience with Git;
  • Actively stays up to date with latest technologies;
  • Leverages AI tools to increase productivity;
  • Clear and concise communication skills.
  • Bonus:
    • Familiarity with or interest in Data Vault 2.0 methodology;
    • Experience with Cloud SQL platforms (Databricks, Snowflake, ...)
    • Experience with cloud technologies (Azure, AWS, GCP);
    • Experience with PBI report building;
    • Knowledge of transportation and/or logistics.


What We Offer:
  • Robust industry with training and mentorship
  • Compensation package that include Medical and Dental benefits
  • Life Insurance/AD&D Insurance
  • Long-term disability
  • Personal and Volunteer days off
  • Vacation available after probation period
  • Free parking, full-service bistro, gym, and free coffee all day
  • Dynamic environment and 'can-do' culture


This is a full-time permanent position from Monday to Friday.

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