Analytics Product Manager

Dolead; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Health Insurance

Meal Vouchers

Time Off 25 days + RTT

Résumé du poste

Dolead in Paris is seeking an Analytics Product Manager who blends data analytics with product thinking to turn insights into data products. You’ll own analytics, build dashboards, define KPIs, and translate business questions into actionable specifications. Fluency in French and English is required.

You’ll work closely with 2 Data Engineers, 1 Data Scientist, and our Head of Data to shape the Data & Science roadmap and drive adoption of data products across the company.

Qualifications

• Strong data analytics background with hands-on experience.
• Comfortable defining KPIs and building dashboards from business questions.
• Proficient in SQL and Looker for deep data analysis.

Responsabilités

• Own analytics and business insights, building dashboards and KPIs for operational teams and leadership.
• Define requirements, user stories, and actionable specifications for Data & Science.
• Gather needs from Sales, Customer Success and Marketing and translate them into roadmap items.
• Coordinate adoption, track impact, and iterate on data products after launch.
• Facilitate sprint planning, keep backlog healthy and ensure alignment with priorities.

Connaissances

Data analytics

SQL

Looker

KPIs

Product thinking

Stakeholder communication

Description du poste

Dolead is a global leader in Lead Generation: we help 200+ clients across 15 countries in Europe and North America turn paid media into measurable business outcomes.
Behind that performance sits a growing Data & Science team working on some of the most strategic topics at Dolead: business intelligence, scoring, optimization, internal data products and decision-making tools used across the company.
We're looking for a Analytics Product Manager to join the team in Paris.
This is not a traditional Product Manager role.
We're looking for someone with a strong Data Analytics background who wants to progressively expand their scope towards Product: someone comfortable going deep into an analysis in Looker or SQL, defining the right KPIs, challenging how a business question is framed, while also helping the team turn business needs into clear priorities and impactful data products.
You’ll join a Data & Science team composed of 2 Data Engineers, 1 Data Scientist, 1 Analytics Product Manager and our Head of Data, to whom you’ll report directly.

Your role

Your scope will sit primarily at the intersection of Analytics and Product, with Analytics remaining an important part of your day-to-day work.

Own Analytics & Business Insights

You’ll progressively become one of the go-to people at Dolead when teams need to understand what the data is really telling them.

You will:

• 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 when needed: not only producing numbers, but helping teams understand what conclusions can (and cannot) reasonably be drawn from them.

• 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.

Help shape our Data Product roadmap

Together with the Head of Data, you’ll help translate business priorities into a clear roadmap for the Data & Science team.

You will:

• 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 our leadership team.

• Follow objectives throughout the quarter and help keep the team focused on the initiatives that matter most.

• Track the adoption and business impact of the products and features delivered, and recommend iterations when needed.

Drive adoption of Data products

Shipping a dashboard, model or feature is only useful if people actually use it.

You will:

• 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 the products after launch.

• Help teams adopt better habits around data-driven decision making.

Keep the squad moving

You’ll also help the Data & Science team maintain clear priorities and effective working routines.

You will:

• 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 when they threaten agreed priorities.

Your profile

We think you'll thrive in this role if:

• You have 5+ years of experience in Data Analytics, Data Science or a closely related field.

• You have a strong analytical foundation and enjoy getting hands-on with data.

• You are highly comfortable with SQL and BI tools such as Looker.

• You understand core statistical concepts such as distributions, probability and confidence intervals, and know when they matter in a business analysis.

• You can independently define KPIs and build dashboards from initial business question through to final output.

• You are comfortable challenging stakeholders on the way a question is framed or an analysis is interpreted.

• You want to move beyond pure analytics and take increasing responsibility for Product thinking, prioritization and delivery.

• You can translate ambiguous business needs into structured problems and actionable requirements.

• You communicate clearly with both technical and non-technical stakeholders.

• You are comfortable working in French and English.

You don't need to be a Data Engineer or Machine Learning expert. Understanding those environments is useful, but we’re primarily looking for someone excellent at analytics, business reasoning and turning data into decisions.
Experience with Product Management or Data Products is a plus, but we’re equally interested in strong Data Analysts or Data Scientists who are ready to make that transition.

What success looks like

After 6-12 months, we’d expect you to have become:

• A trusted analytics partner across Dolead: when someone needs a meaningful analysis in Looker, you’re naturally one of the people they turn to, and you can independently answer most of those questions.

• A key contributor to the Data & Science team's quarterly roadmap, from preparation through presentation to our leadership team.

• The person helping the squad maintain clear rituals, objectives and priorities throughout each quarter.

• Someone who consistently helps move conversations from "what does the data say?" to "what should we do about it?"

Practical details

• Permanent contract

• Based in Paris

• During your first six months, we expect you to work from our Paris office around 2 days per week, particularly to build strong relationships with the Data, Tech and business teams. We can revisit the setup once you're fully onboarded.

• French and English are both required.

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, depending on team organization
Multicultural Environment: 13+ nationalities represented across the company
Strong Company Culture: regular team events and fun activities
Office: located in the heart of Paris, near Opéra

Recruitment Process

• First interview with Florian, Talent Acquisition Manager

• Interview with Thibault, Head of Data and Hiring Manager, including a deeper assessment of your technical and analytical skills

• Team meeting with members of the Data & Science team

• Final interview with Guillaume, CEO, focused on business understanding, strategic thinking, and overall fit with Dolead

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.