Lead Data Analytics

Octopus Energy

Lead Data Scientist responsible for team management and data product development at Octopus Energy. Supporting sales and customer experience through data-driven solutions in a fast-paced environment.

Posted 7/6/2026full-timeParis • 🇫🇷 FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data analytics teams, driving professional development, and delivering high-quality data products. Proficient in commercial data analysis, predictive modeling, and utilizing advanced data technologies such as Machine Learning and Generative AI.

Highest-signal resume keywords

Data AnalysisTeam ManagementMachine LearningPredictive ModelingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingReportingSQLPythonRMachine Learning AlgorithmsGenerative AICommercial Data AnalysisStatistical Analysis

Soft Skills

MentoringCommunicationCollaborationProblem-SolvingLeadership

Tools & Technologies

MetabaseLightdashCloud EnvironmentsData Visualization Tools

Industry Keywords

Commercial DataData AnalyticsData ProductsBusiness RequirementsData Technologies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage the members of the Commercials Pod (three people to date).
Act as a driver of professional development for team members through training and mentoring.
Define the roadmap and ensure the quality of the team's deliverables.
Work closely with the sales teams to understand their needs and translate business requirements into data analytics solutions.
Oversee the collection, processing, and analysis of commercial data volumes to create clear, concise dashboards.
Propose and develop data products to support sales growth or customer experience, staying at the forefront of data technologies (e.g., Machine Learning, Generative AI).

Requirements

What you’ll need

Minimum of 5 years' experience as a Data Analyst or Data Scientist, with at least 2 years of team management experience in a similar context.
Strong experience in commercial data analysis, predictive modeling, and reporting.
Academic background in statistics/mathematics/economics, a specialized degree in data, or an engineering degree with a strong interest in data.
Excellent command of data analysis tools (SQL, Python/R).
Experience developing and managing Machine Learning algorithms or using Generative AI.
Familiarity with data visualization tools (Metabase or Lightdash preferred).
Knowledge of databases and cloud environments.
Excellent spoken and written English to interact with our international colleagues.

Benefits

Comp & perks

Equity participation
Flex-office
Excellent health insurance
Green mobility allowance
Partial coverage of your commuting pass above the statutory minimum
Special leave days to volunteer for a nonprofit project you care about