Experienced Digital Product Analyst Consultant

Project overview

As part of accelerating its digital strategy and continuously optimizing the player experience, our client is evolving its operational model by integrating the Product Analytics team directly within the Customer Experience and Digital Operations Department, under the responsibility of the Product Manager.

This organization aims to create daily synergy with the Product, Design, and Experimentation teams. The ambition is to place data and customer knowledge at the heart of the product lifecycle to maximize the business impact of each evolution.

Within Online Lottery, the Senior Digital Product Analyst Consultant will exclusively work on the Retention Vertical. This strategic scope covers all aspects of retention, anti-churn, and player engagement for digital players on the website and mobile applications.

Their mission aligns with the group's strategic axes: elevating performance, protecting and engaging customers, and developing employee autonomy through innovative methods, tools, and solutions.

Scope: Online Lottery – Retention Vertical

Reporting: Customer Experience and Digital Operations Department > Product Manager > Product Analytics Team

Project details

~12 months (220 days) — handover planned for December 2026

Objectives and Deliverables

Missions

The consultant will act as an experienced analytical referent for multidisciplinary business teams. They must demonstrate proactivity, a strong ability to defend their convictions, and proficiency in Piano Analytics, Content Square, Excel, Jira Cloud, and Confluence Cloud.

Their missions span the entire Analytics value chain:

The consultant will act as a senior analytical referent for multidisciplinary business teams. They must demonstrate proactivity, a strong ability to defend their convictions, and confirmed proficiency in Piano Analytics, Content Square, Excel, Jira Cloud, and Confluence Cloud. Their missions span the entire Analytics value chain:

Expected Deliverables

The success of the mission will be measured by the quality, clarity, timeliness, and business impact of the following deliverables:

Required Skills

Skill Level

Autonomy - Advanced

Oral Presentation - Advanced

Piano Analytics - Advanced

PowerPoint Presentation - Confirmed

Process Automation - Elementary

Synthesis Skills - Advanced

Data Collection - Advanced

Data Exploration - Confirmed

Data Analysis - Advanced

Data Visualization (Power BI, Piano Analytics) - Confirmed

Agile / Scrum Methodology - Elementary

AppsFlyer - Elementary

Kameleoon - Advanced

Analytical Skills - Confirmed

ContentSquare - Advanced

Conversion Rate Optimization - Elementary

Microsoft Excel - Confirmed

Notion AI / Agentic - Elementary

Data Quality and Governance - Advanced

Adaptability - Confirmed

Framework JavaScript - Elementary

• Daily support for Product Owners from the early stages to frame their needs, define measurement methodologies, and select relevant KPIs to identify and extract value through product delivery.
• Anticipate the impacts of new features, commercial highlights, or marketing campaigns on the entire Analytics value chain, from data collection to updating BI feeds, dashboards, and ad hoc analyses.
• In synergy with the tracking team, ensure the framing, review, and validation of tagging plans according to the defined taxonomy, to guarantee the consistency of the data model and actively participate in its enrichment.
• Be vigilant in identifying tagging or collection anomalies on retention journeys, and ensure the monitoring and prioritization of fixes in Jira Cloud in conjunction with the tracking and product teams.
• Manage relations with Data and BI partners by providing the necessary API requests and exports for the creation or evolution of reports combining multiple sources and dimensions.
• Design, populate, and maintain decision-making dashboards in Piano Analytics and Power BI to ensure regular monitoring of the performance of the Online Lottery website and applications, and to quickly detect trend changes.
• Integrate and leverage AI or Agentic bricks native to Analytics solutions or internal solutions to facilitate data accessibility, democratize information access, and accelerate decision-making within product teams.
• Conduct exploratory analyses and audits on journeys contributing to user retention (e.g., loyalty program, anti-churn feature, etc.) to identify friction points, uncover conversion opportunities, and formulate recommendations for product evolutions up to their industrialization.
• Structure and enrich the experimentation process with the Product and Design teams by proposing A/B test hypotheses, framing measurement protocols, and analyzing results to guide deployment decisions.
• Evaluate the performance of new features put into production and respond to ad hoc analysis requests within short deadlines, by clearly and impactfully valuing data and systematically quantifying business impact.
• Develop the analytical maturity of the Product and Design teams through training sessions, onboarding on Piano Analytics and Power BI tools, and sharing best practices focused on value creation and insights.
• Centralize, document, and update in Confluence Cloud all knowledge related to journeys, production monitoring, key project history, and analysis methodologies.
• Product measurement frameworks defining success KPIs and quantitative objectives before each new feature.
• Validated tagging plans, data collection requirements, and tracking acceptance test specifications.
• Backlog and tickets for monitoring tagging anomalies and evolutions, kept up-to-date in Jira Cloud.
• SQL queries, API requests, and structured data export files in Excel for business teams and Data and BI partners.
• Automated performance monitoring dashboards on Piano Analytics and Power BI.
• AI and Agentic-based feeds, assistants, or tools made available to teams to facilitate autonomous data access.
• Post-production performance reports measuring feature adoption and quantifying generated business value.
• Exploratory journey studies and ad hoc analyses delivered in PowerPoint, systematically including quantitative findings, insights, and actionable recommendations.
• Framing protocols and statistical analysis reports for A/B tests with recommendations for deployment or iteration.
• Training materials, tool onboarding guides, and debriefing materials presented during workshops with Product and Design teams.
• Methodological documentation, best practice repository, and analysis history kept up-to-date in Confluence Cloud.
• Regular activity reports and follow-up meeting minutes.
• Start: ASAP
• Duration: 12 mois
• Remote: hybrid
• Location: Boulogne-Billancourt, Île-de-France, FR
• Languages: French