17 beste Stellen als data analyst in kanton waadt – aktuell auf Personalsuche

Data Analyst / Data Engineer
Kainjoo SA —Morges, VD
- 100%
- Homeoffice
- Englisch
- Master
- SQL
Analyst IT Consulting 80–100%
Eraneos Switzerland AG —Lausanne, VD
- 100%
- Englisch
- Master
- Bachelor
Business Analyst
Qim Info —Lausanne, VD
- Englisch
Freight Analyst
ADM —Rolle, VD
- Kommunikationsfähigkeit
- Python
Senior Systems Business Analyst
Intuitive Surgical —Aubonne, VD
- Management-Erfahrung
- Salesforce
- Englisch
Junior Data Migration
ELCA Informatique SA —Pully, VD
- 100%
- Oracle
- Master
- Datenbanken
Business Analyst
Assura —Lausanne, VD
- Teilzeit
- Microsoft Office
Marketing Analyst & Event Specialist
Ansam Group —Le Vaud, VD
- Teilzeit
- Hybrides Arbeiten
- Englisch
- SQL
- Organisationstalent
Senior Treasury Analyst
Philip Morris International —Lausanne, VD
- 100%
- Management-Erfahrung
- Englisch
- Master
Group Consolidation Analyst
ECOM Europe —Pully, VD
- Microsoft Excel
- Englisch
- Master
Direkt bewerben
Internship QC - (m/f/d)
Merck KGaA —Corsier-sur-Vevey, VD
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Aufstiegsmöglichkeiten
Senior Quant Analyst
Alpiq Holding AG —Lausanne, VD
- 100%
- Oracle
- SQL
- Erfahrung im Bauwesen
Test Manager Editique
Qim Info —Lausanne, VD
- Englisch
- Bachelor
6 Tage
Test Manager Dataspace / Data Platform (h/f/x) - 80–100%
Vaudoise Assurances —Lausanne, VD
- Teilzeit
- Englisch
Direkt bewerben
Senior Data Engineer - Azure, AWS, Databricks
ELCA Informatique SA —Pully, VD
- 100%
- Englisch
- SQL
- AWS
Product Owner - Institutional & Wealth
Swissquote Bank —Gland, VD
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- Bachelor
Direkt bewerben
Head of Banking Solutions
Swissquote —Gland, VD
- 100%
- Oracle
- Management-Erfahrung
- Master
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data analyst jobs near kanton waadt

Data Analyst / Data Engineer

Kainjoo SA -
Morges, VD

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Französisch
Power BI
Englisch
Master
SQL
Bachelor
PostgreSQL
Python
Marketing

Vollständige Stellenbeschreibung

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.

What you’ll be doing

You’ll define KPIs, build dashboards, write queries, and set up pipelines that keep data flowing cleanly. You’ll work directly with clients to understand what they need, and with our tech team to make it happen.

Define data dictionaries, KPIs, and metric hierarchies with clients and stakeholders
Write and optimise 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
Normalise 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

Who we’re looking for

Personality

You’re comfortable sitting with messy data and bringing order to it
You ask “what decision does this need to support?” before you build anything
You explain data clearly to people who don’t live in spreadsheets
You’re rigorous about accuracy — you double-check, you validate, you question anomalies
You 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 Morges, Switzerland Engagement type Remote Department KJ. Tech Engineering

Jetzt bewerben

Erweiterte Suche

data analyst Jobs in kanton waadt

Data Analyst / Data Engineer

Analyst IT Consulting 80–100%

Business Analyst

Freight Analyst

Senior Systems Business Analyst

Junior Data Migration

Business Analyst

Marketing Analyst & Event Specialist

Senior Treasury Analyst

Group Consolidation Analyst

Internship QC - (m/f/d)

Senior Quant Analyst

Test Manager Editique

Test Manager Dataspace / Data Platform (h/f/x) - 80–100%

Senior Data Engineer - Azure, AWS, Databricks

Product Owner - Institutional & Wealth

Head of Banking Solutions

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