Analyst data • genf
We believe in using the best tools to stay effective and efficient.You will be expected to master and evolve our data ecosystem:.Data project ownership & delivery.Managing a data project from start... Mostra di più
An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and op... Mostra di più
You will design, build, and deploy models - spanning machine learning, optimization/simulation, and emerging Generative & Agentic AI - working closely with product, engineering, and business partne... Mostra di più
An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and op... Mostra di più
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JobCloud connects hundreds of thousands of job seekers with employers every day and behind every product decision is data.As our next Senior Data Engineer, you'll own the warehouse stack that makes... Mostra di più
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Vitol’s reference data across multiple systems, ensuring datasets are accurate, consistent and fit for use across applications and business processes.Role responsibilities will span three adjacent ... Mostra di più
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What you will do
We believe in using the best tools to stay effective and efficient. You will be expected to master and evolve our data ecosystem:
Data project ownership & delivery
Managing a data project from start to finish using agile method, helping stakeholders to refine their questions into structured data projects, advising stakeholders on what to measure, how to model it, and which tool to use and facilitating stakeholder discussions to bridge the gap between high-level business goals and technical execution.
Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries.
Technical stack
Modeling & Architecture: Build and maintain scalable models using dbt (SQL) and provide critical reviews of event schemas for our event-based platform.
Modern Workflow: Leverage Cursor and Git to accelerate development and ensure code quality and version control.
The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth.
Data literacy
Onboarding and empowering users to self-serve, effectively reducing the data team as a bottleneck.
Handling ad-hoc requests ranging from querying specific datasets to providing technical guidance on our tooling landscape.
Participating in Level 1 technical support, including monitoring dbt jobs and Tableau extracts to ensure the reliability of our products.
Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs.
Continuous Platform Improvement
You act as a bridge to Data Engineering. You’ll proactively surface data debt, documentation gaps, and tooling friction to ensure the platform gets simpler and stronger over time. You’ll also ensure high standards for PII handling and security policies are built into every delivery.
Experience and qualifications
Proven Experience: 3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment.
Project Leadership: A track record of taking the lead with stakeholders—successfully translating high-level business ambiguity into structured, actionable data projects. You have experience helping and mentoring other team members.
Technical Mastery: hands-on experience with dbt / SQL (modeling, testing, and documentation).
Hands-on experience with data visualization tools (Tableau, Mixpanel, or similar)
The Modern Workflow: Comfort working in a version-controlled environment (Git) and an interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency.
Data Storytelling: The ability to distill complex findings into executive-ready summaries and visualizations that drive decision-making.
You are fluent in English both written and spoken
Familiarity with data governance practices (PII handling and access control).
Experience in Product Analytics or working directly with Product Managers a nice to have
Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at .
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
