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About the Role
Dolead is seeking an Analytics Product Manager to join their Data & Science team in Paris. This role focuses on the intersection of Analytics and Product, requiring a strong Data Analytics background with a desire to expand into Product Management. You will be instrumental in driving data-driven decision-making and shaping the team's data product roadmap.
Responsibilities
- Conduct deep-dive and ad-hoc analyses to help teams make better business decisions.
- Work autonomously with SQL and Looker to investigate questions, test hypotheses and identify opportunities.
- Build and maintain dashboards, reports and KPIs for operational teams and executive leadership.
- Partner with business teams to define the right metrics and ensure they are interpreted correctly.
- Challenge analyses and assumptions to help teams understand conclusions.
- Help improve data accessibility and enable teams to become increasingly autonomous in their use of Looker.
- Contribute to data quality, metric consistency and governance across the company.
- Translate business priorities into a clear roadmap for the Data & Science team.
- Gather and structure needs from teams such as Sales, Customer Success and Performance Marketing.
- Help frame problems, assess opportunities and prioritize initiatives based on business impact and effort.
- Translate business needs into clear requirements, user stories and actionable specifications for the Data & Science team.
- Contribute to the quarterly roadmap and prepare its presentation to leadership.
- Follow objectives throughout the quarter and help keep the team focused on key initiatives.
- Track the adoption and business impact of delivered products and features, and recommend iterations.
- Coordinate the rollout of new Data & Science products and features.
- Define and monitor adoption and impact metrics.
- Create documentation and training when needed.
- Work with internal users to understand friction points and improve products after launch.
- Help teams adopt better habits around data-driven decision making.
- Facilitate daily stand-ups and team rituals.
- Help define sprint goals and organize the team's backlog.
- Track milestones, dependencies and blockers.
- Facilitate retrospectives and follow up on improvement actions.
- Protect the team from unnecessary ad-hoc requests that threaten agreed priorities.
Requirements
- 5+ years of experience in Data Analytics, Data Science or a closely related field.
- Strong analytical foundation and hands-on data experience.
- Highly comfortable with SQL and BI tools such as Looker.
- Understanding of core statistical concepts.
- Ability to independently define KPIs and build dashboards.
- Comfortable challenging stakeholders on analysis framing and interpretation.
- Desire to move beyond pure analytics into Product thinking, prioritization and delivery.
- Ability to translate ambiguous business needs into structured problems and actionable requirements.
- Clear communication with both technical and non-technical stakeholders.
- Comfortable working in French and English.
Skills
- SQL
- Looker
- Data Analytics
- Data Science
- Business Intelligence
- Product Management
- Data Products
- KPI Definition
- Dashboard Creation
- Statistical Concepts
- Stakeholder Management
- Requirements Gathering
- Agile Methodologies (implied by rituals, stand-ups, retrospectives)
Location
- Paris
Work Type
- Permanent contract
- Hybrid (initially 2 days/week in office for first 6 months, then flexible)
- Remote Work: 2 to 4 days per week
Experience Level
- 5+ years
Benefits
- Health Insurance: individual & family coverage through SideCare — 100% covered by Dolead
- Meal Vouchers: Swile card — 50% covered by Dolead
- Time Off: 25 days of paid leave + 8 RTT days
- Remote Work: 2 to 4 days per week
- Multicultural Environment: 13+ nationalities represented
- Strong Company Culture: regular team events and fun activities
- Office: located in the heart of Paris, near Opéra
About the Company
- Dolead is a global leader in Lead Generation, helping over 200 clients across 15 countries in Europe and North America.
- The Data & Science team works on strategic topics including business intelligence, scoring, optimization, internal data products, and decision-making tools.
Equal Opportunity
- Dolead is committed to providing equal opportunities to all candidates. All applications are considered regardless of race or ethnic origin, opinions or beliefs, gender, sexual orientation, health status, or disability.