Senior Data Analytics Engineer

TL;DR

Senior Data Analytics Engineer: Identifying core challenges, defining KPIs, and translating high-level needs into structured technical plans. Focus on delivering high-impact, data-driven insights and recommendations to influence key decisions and optimize growth.

Location: Remote

Company

hirify.global helps organizations secure innovation in the cloud, the right way.

What you will do

• Partner with business stakeholders to identify challenges and define KPIs.
• Own the full analytics workflow, from transforming raw data in dbt to building dashboards in Sigma.
• Write SQL to solve complex modeling challenges and maintain a "single source of truth".
• Deliver data-driven insights and recommendations to influence key decisions.
• Shape data governance and foster data literacy.

Requirements

• 5+ years of experience in Analytics Engineering, Data Engineering, or a highly technical Data Analyst role.
• Proven experience with modern BI platforms (Sigma, Looker, or PowerBI).
• Strong proficiency in SQL with hands-on experience in complex data modeling and query optimization.
• Hands-on experience with dbt and building production-grade ETL/ELT pipelines.

What we look for

• Ability to bridge the gap between backend data and frontend business value.
• Partnering with Sales, Product, and Engineering leadership to source data and establish global data standards.
• Excitement to learn and grow skills in backend automation and advanced BI functionality.
• Documentation, testing, and advocating for data quality.

Culture & Benefits

• Extra days off to prioritize your well-being
• Mental health support for you and your family through the Modern Health app
• Great compensation package