Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

A data and analytics role focused on building and maintaining scalable data pipelines, models, and dashboards to support People Analytics initiatives within a remote SaaS environment.

Key Responsibilities

Build data pipelines
Maintain data models
Develop dashboards
Automate workflows
Support analytics projects

Technical Overview

Development of data pipelines using SQL and Python, managing Snowflake and dbt models, creating dashboards with Looker, supporting automation and data integrity.

Ideal Candidate

The ideal candidate is a data engineer with expertise in SQL, Python, and building scalable data pipelines, familiar with Snowflake, dbt, and Looker. They should be proactive in automation and data modeling to support analytics initiatives.

Must-Have Skills

SQLPythonData pipelinesData modelingETL

Nice-to-Have Skills

SnowflakedbtLookerAI/LLMdashboard development

Tools & Platforms

SnowflakedbtLookerFivetran

Required Skills

SQLPythonSnowflakedbtETLdata pipelinesdata modelingLookerdata analysis

Hard Skills

SQLPythonSnowflakedbtETLData pipelinesData modelingLookerData analysis

Soft Skills

problem-solvinganalytical thinkingcollaborationcommunicationautomation

Industry & Role

Industry Construction, HR Analytics, SaaS

Job Function Design and maintain data pipelines and analytics solutions

Role Subtype Analytics Engineer

Tech Domains SQL / PostgreSQL, Snowflake, Python, Data analysis, ETL

Keywords for Your Resume

data engineerSQLPythonSnowflakedbtETLdata pipelinesdata modelingLookeranalyticsdata analysisautomationscalable data pipelinesdata infrastructureinternal toolingData pipelinesData modeling

Deal Breakers

Lack of experience with SQL or Python, No experience with data pipelines or ETL, No familiarity with Snowflake or Looker

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Analytics Engineer, People Analytics

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