About the Position

Data is at the core of what we deliver for a growing number of our clients - and we need someone who can turn raw, messy data into clear, reliable insights. You’ll work across dashboards, pipelines, and reporting setups, and you’ll be the person clients trust to make sense of their numbers.

Responsibilities

Define data dictionaries, KPIs, and metric hierarchies with clients and stakeholders
Write and optimize SQL queries across relational and cloud data warehouses
Build data transformation pipelines and automation flows
Design and build interactive dashboards with drill-downs, filters, and cross-source blending
Integrate data from REST APIs and third-party platforms
Normalize and clean raw data - handle deviations, nulls, and schema inconsistencies
Apply GDPR and data privacy best practices when handling client data
Set up data quality monitoring and alerting
Document data models, transformation logic, and dashboard usage for clients

Requirements

Personality

Comfortable sitting with messy data and bringing order to it
Ask “what decision does this need to support?” before you build anything
Explain data clearly to people who don’t live in spreadsheets
Rigorous about accuracy - double-check, validate, question anomalies
Manage expectations well when data is incomplete or ambiguous

Experience

3+ years of experience in data analytics or data engineering
Strong SQL skills across one or more platforms (BigQuery, PostgreSQL, or similar)
Experience building dashboards in a BI tool (Looker Studio, Power BI, Metabase, or similar)
Familiarity with REST API data ingestion
Good understanding of analytics concepts: funnels, cohorts, attribution, KPI design
Awareness of GDPR and data handling responsibilities

Nice to Have

Experience with workflow automation tools for data pipelines (n8n, Airflow, or similar)
Python for data transformation scripts
Familiarity with marketing and CRM platform APIs
Knowledge of cloud data warehouses and scheduled query jobs

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
Google Data Analytics, dbt, or BigQuery certifications are a plus
Fluent in English; French is a plus

Location

City: Morges
Country: Switzerland
Engagement type: Remote

Department

KJ. Tech Engineering

We Offer

Opportunity to work remotely from Morges, Switzerland
Be part of a dynamic and innovative team
Competitive compensation package
Professional growth and development opportunities

About the Company

At Kainjoo, we believe in the power of data to drive business decisions. Our team is dedicated to transforming raw data into actionable insights, helping our clients make informed decisions. Join us and be part of a company that values innovation, integrity, and excellence.

Data Analyst / Data Engineer

Job description