People Data Analyst: Build Trusted HR Data & AI Insights

Enfuce; Espoo; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible Paid Time Off

Hybrid or remote work options

Employee stock option program

5 weeks of vacation

Job summary

Enfuce is seeking a Data Analyst to shape our people data into a trusted, scalable asset. You will partner with the People and Data & AI teams to build robust data foundations, transform raw data into insights, and connect analytics to business outcomes such as headcount planning and retention.

You’ll start with foundational work, then increasingly feed data into AI-powered people products. This role emphasizes data quality, governance, and measurable impact.

Qualifications

• 3+ years of experience as a Data Analyst in a business context.
• Strong SQL skills and experience with modern cloud data platforms.
• Hands-on with dbt or similar analytics engineering practices.
• Experience with Git-based development workflows.
• Proficient in BI tools and building dashboards people actually use.
• Knowledge of data security, access controls and governance.

Responsibilities

• Build a data foundation you can trust, ensuring clean, reliable people data.
• Turn data into actionable direction for leadership and product teams.
• Connect people data to business metrics like headcount planning and forecasting.
• Set success measures before building, then evaluate outcomes.
• Support AI-powered People products by providing a robust data layer and insights.

Skills

Data analysis

SQL

Cloud data platforms

dbt

Git workflows

BI tools

ThoughtSpot/Looker/Omni

Education

Bachelor’s or higher in a relevant field

Tools

Snowflake

BigQuery

Databricks

Job description

Enfuce is seeking a Data Analyst to shape our people data into a trusted, scalable asset. You will partner with the People and Data & AI teams to build robust data foundations, transform raw data into insights, and connect analytics to business outcomes such as headcount planning and retention.

You’ll start with foundational work, then increasingly feed data into AI-powered people products. This role emphasizes data quality, governance, and measurable impact.