Data Analyst / Engineer (Power BI)

TL;DR

Data Analyst / Engineer (Power BI/Python): Designing and maintaining robust data pipelines and transforming complex datasets into actionable insights with an accent on ETL/ELT processes and analytical infrastructure. Focus on building performant Power BI dashboards, optimizing data models using DAX, and automating pipelines with Python.

Location: Company dual headquartered in Lausanne, Switzerland and Boston, USA

Company

hirify.global is the leader in digital employee experience (DEX) management software, providing IT leaders with insights to diagnose and fix employee-facing technical issues at scale.

What you will do

• Design, develop, and maintain end-to-end ETL/ELT pipelines to integrate data from multiple sources.
• Build and optimize data models to ensure data quality, consistency, and reliability.
• Develop interactive Power BI dashboards using DAX and Power Query for technical and non-technical stakeholders.
• Define and track key performance indicators (KPIs) across various business units.
• Collaborate with cross-functional teams to translate business needs into technical data solutions.

Requirements

• 2+ years of experience in data analysis or data engineering.
• Proven expertise in ETL/ELT pipeline development.
• Advanced proficiency in DAX and Power Query for data modeling.
• Strong SQL skills for querying and managing relational data.
• Strong Python skills for data manipulation, automation, and scripting.
• Fluency in English is required.

Nice to have

• Experience with Microsoft Fabric.
• Familiarity with Azure Data Factory for workflow orchestration.
• Exposure to Azure Synapse Analytics for large-scale processing.

Culture & Benefits

• Work within a global environment with over 75 nationalities across 5 continents.
• Commitment to diversity, inclusion, and equity.
• Opportunity to work as part of a pioneering team in the DEX market category.
• Collaborative "One Team" culture focused on continuous growth and innovation.