18 meilleures offres (data analyst, vaud) (à pourvoir)

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- 100%
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- Niveau Master
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- 100%
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Assura —Lausanne, VD
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Business Analyst
Qim Info —Lausanne, VD
- Anglais
Business Analyst IT Finance (F/H) 80-100%
Romande Energie —Morges, VD
- Temps partiel
- Niveau Licence
- Technologies de l'information
14 h
Analyst IT Consulting 80–100%
Eraneos Switzerland AG —Lausanne, VD
- 100%
- Bar
- Anglais
- Niveau Master
Freight Analyst
ADM —Rolle, VD
- Compétences en communication
- Python
Payroll Analyst
Vale —Saint-Prex, VD
- Microsoft Excel
- Gestion du personnel
- Anglais
Group Consolidation Analyst
ECOM Europe —Pully, VD
- Microsoft Excel
- Anglais
- Niveau Master
Postuler rapidement
Senior Systems Business Analyst
Intuitive Surgical —Aubonne, VD
- Gestion du personnel
- Salesforce
- Anglais
Product Owner - Institutional & Wealth
Swissquote Bank —Gland, VD
- 100%
- Travail hybride
- Anglais
- Niveau Master
- Niveau Licence
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Senior Treasury Analyst
Philip Morris International —Lausanne, VD
- 100%
- Gestion du personnel
- Anglais
- Niveau Master
Marketing Analyst & Event Specialist
Ansam Group —Le Vaud, VD
- Temps partiel
- Travail hybride
- Anglais
- SQL
- Sens de l'organisation
Internship QC - (m/f/d)
Merck KGaA —Corsier-sur-Vevey, VD
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Opportunités de carrière
AI Infrastructure Engineer
Swissquote Bank —Gland, VD
- 100%
- Gestion du personnel
- Java
- Niveau Master
Postuler rapidement
il y a 7 jours
Senior Quant Analyst
Alpiq Holding AG —Lausanne, VD
- 100%
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- SQL
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Test Manager Editique
Qim Info —Lausanne, VD
- Anglais
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Senior Data Engineer - Azure, AWS, Databricks
ELCA Informatique SA —Pully, VD
- 100%
- Anglais
- SQL
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Data Analyst / Data Engineer

Kainjoo SA -
Morges, VD

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Français
Power BI
Anglais
Niveau Master
SQL
Niveau Licence
PostgreSQL
Python
Marketing

Description complète du poste

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

Soumettre votre candidature

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data analyst emplois - vaud

Data Analyst / Data Engineer

Junior Data Migration

Business Analyst

Business Analyst

Business Analyst IT Finance (F/H) 80-100%

Analyst IT Consulting 80–100%

Freight Analyst

Payroll Analyst

Group Consolidation Analyst

Senior Systems Business Analyst

Product Owner - Institutional & Wealth

Senior Treasury Analyst

Marketing Analyst & Event Specialist

Internship QC - (m/f/d)

AI Infrastructure Engineer

Senior Quant Analyst

Test Manager Editique

Senior Data Engineer - Azure, AWS, Databricks

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data analyst (vaud)

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