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Emplois Data Analyst (Genève, GE)

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    • Acquire data from primary or secondary data sources, clean the data, and maintain our internal databases and data warehouses.
    • Expérience en data analysis / analytics engineering dans un contexte de reporting et de data visualisation.
    • Participer à la migration des usages de reporting et…
    • Expérience dans un contexte d’intégration des données (ETL), Data reportings, gouvernance des données (Metadata, MDM, qualité des données) et modélisation des…
    • Notre métier est de créer, manager et exploiter le patrimoine data de nos clients.
    • Nous recherchons un(e) Business Analyst confirmé(e) capable d'accompagner nos…
    • Ensure clean & aligned data within ERP and alignment with operator provided data feeds, for example naming of POS (Point of Sales) within each data set to…
    • Notre métier est de créer, manager et exploiter le patrimoine data de nos clients.
    • Nous avons la conviction que chaque entreprise peut adopter une démarche…
    • Familiarity with data governance practices (PII handling and access control).
    • Onboarding and empowering users to self-serve, effectively reducing the data team…
    • Sensibilité data (SQL de base, Excel avancé, Power BI).
    • Faire le lien entre les directions métiers en traduisant les besoins utilisateurs en solutions…
    • Rejoignez une institution romande de premier plan en pleine croissance.
    • Temps plein, Temps plein (80-100% envisageable).
    • Dans le cadre de projets d’ évolution , de refonte des systèmes d’information et de transformation digitale , nous recherchons un(e) Analyste Métier Junior…
    • Extract, transform, validate, and reconcile data from ERP systems for quarterly and annual monitoring reports, ensuring completeness and data integrity.
    • Connaissances en data (qualité, traçabilité, MDM) et en outils de reporting (Power BI, QlikSense).
    • Nous ouvrons un poste d’Analyste métier junior afin de…
    • Ability to work with complex data and convert insights into clear business recommendations and product improvements.
    • Knowledge of SQL or data analysis tools.
    • Document solution designs, data flows, and system integration requirements.
    • Attention to Detail: Demonstrates precision and rigor when developing, reviewing, and maintaining quantitative models and data.

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Job Post Details

Data Analyst - job post

InvestGlass SA
Genève, GE•Télétravail
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Description du poste

Department: Product & Engineering

Location: Remote / Geneva

About the Role: As a Data Analyst at InvestGlass, you will be the driving force behind our data-driven decision-making processes. You will dive deep into large datasets generated by our CRM, marketing automation, and portfolio management modules to extract actionable insights. Your work will directly influence product development, sales strategies, and customer success initiatives. You will be responsible for creating comprehensive dashboards, generating regular performance reports, and identifying trends that can help our clients optimize their wealth management operations. This role is perfect for someone who loves turning raw data into compelling stories and strategic recommendations.

Key Responsibilities:

  • Interpret complex data, analyze results using statistical techniques, and provide ongoing, comprehensive reports to internal stakeholders.
  • Develop and implement data collection systems, data analytics strategies, and optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources, clean the data, and maintain our internal databases and data warehouses.
  • Identify, analyze, and interpret trends or patterns in complex data sets to highlight opportunities for product improvement or business growth.
  • Work closely with management to prioritize business and information needs, translating business questions into analytical queries.

Requirements:

  • 1 to 3 years of proven working experience as a Data Analyst, Business Data Analyst, or in a similar analytical role.
  • Strong knowledge of and experience with reporting packages (e.g., Tableau, PowerBI), databases (SQL), and programming (Python or R).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication skills, with the ability to present complex data findings in a clear and understandable manner to non-technical audiences.
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