Data Analyst

The dashboard is not the deliverable. The decision is. Generative AI can now produce a chart in seconds. What remains rare is the right question, rigorous analysis and a recommendation that an executive acts on. At Diametral, the Data Analyst works directly with business leaders to turn data into measurable decisions.

You join the Decision Analytics engine and work alongside Analytics Engineers, Data Scientists and Product Owners.

What you will build

• Analyses that address leadership-level issues: commercial performance, profitability, customer journey, operational efficiency.
• Steering dashboards designed to be used, with real attention to design and adoption.
• AI-augmented analytics: conversational BI (Copilot, Genie, Cortex Analyst), LLM-assisted analysis, automated reporting.
• Experimentation and impact measurement: A/B tests, causal analysis, tracking the value of data and AI initiatives.
• Storytelling that drives action: synthesis, recommendations, presentations to executive committees.
• Self-sufficiency for business teams on their own data (self-service, training, governance of usage).

Your tech stack

SQL, Python, Power BI, Tableau, Looker, Microsoft Fabric, Snowflake, BigQuery, Databricks AI/BI, Copilot, ThoughtSpot, advanced Excel.

Within Diametral

• You share your use cases and data visualization best practices with the engine community.
• You can grow toward analytics engineering, data science or performance management consulting, as you choose.

What you bring

• An engineering, business school or master's degree in data, economics or statistics.
• At least 2 years of experience in data analysis, excluding internships and apprenticeships.
• Excellent command of SQL and at least one BI tool, and solid foundations in statistics.
• A proven ability to turn an analysis into a business recommendation.
• Fluent English in a client setting, plus the language of your home office.

What will make the difference

• Hands-on Python for analysis and automation.
• Experience with experimentation (A/B testing) or causal inference.
• Functional expertise: finance, marketing, supply chain, HR.

Your mindset

• Critical thinking: you challenge the numbers before presenting them.
• Client focus and a talent for synthesis.
• Business curiosity: you want to understand how the company makes money.

What we expect from all our talent

• An obsession with business impact: you quickly understand our clients' business, and you know how to challenge it.
• A strong sense of service and client experience.
• Top-level communication, written and spoken: you simplify, you bring people along.
• Advanced mastery of AI and automation tools: you can show us an agent or a prototype you built yourself.
• Ambition and rigor, serving a team that puts the collective before the individual.

• Interview with the Talent Acquisition team and/or a Business Manager
• Technical interview with an engine expert
• Interview with the Managing Director or the Engine Director