Once upon a time, decision-makers were drowning in reports. Then came the dashboard, promising salvation in the form of beautifully rendered KPIs and instantly digestible insights. The idea? Consolidate everything onto a single screen, transforming raw data into actionable intelligence. Quite clever, really, though one does wonder if most dashboards end up resembling digital magpie nests – crammed with metrics nobody actually uses but feels obligated to display.
In practice, building a truly useful dashboard is less about technology and more about ruthless prioritization. Too often, they become the lovechild of Excel and PowerPoint, visually appealing but functionally limited. While alternatives like detailed reports and ad-hoc analysis offer deeper dives, dashboards excel at monitoring key trends. Today, they’re ubiquitous – from C-suite overviews to operational monitoring – though the signal-to-noise ratio remains a constant battle. Everyone has one, but few are truly happy with it.
Linxens seeks a Planning Manager to own Production and Supply Planning, drive S&OP, and keep MPS aligned with demand in a QAD ERP environment. It asks for 5–10 years in production planning,...
read more »
Linxens seeks a Planning Manager to own Production and Supply Planning, drive S&OP, and keep MPS aligned with demand in a QAD ERP environment. It asks for 5–10 years in production planning, leadership, and English–French fluency, with a finger on KPIs like service level, OTD, stock coverage, and dual-sourcing when needed. The role is heavy on cross-functional collaboration, weekly MPS updates, daily dashboards, and procurement coordination. Tools are traditional: QAD ERP, MPS, and S&OP processes; data tooling beyond KPI dashboards is not showcased. The opportunity is real for shaping end-to-end supply chain in a fast-moving industrial setting, but the job reads like a classic planning desk job rather than a data-driven engineering role. Expect CSR buzz and a strong process discipline, with limited room for modern data engineering or analytics innovation.
LVMH seeks a Data Analyst to lead dashboard projects, requiring collaboration with stakeholders and data teams, with a notable emphasis on Power BI dashboards. The scope involves transforming...
read more »
LVMH seeks a Data Analyst to lead dashboard projects, requiring collaboration with stakeholders and data teams, with a notable emphasis on Power BI dashboards. The scope involves transforming business needs into visual solutions, with a risk of misaligned requirements and an inherent dependency on cross-functional cooperation. A standout feature is the focus on integrating data within LVMH's data platform, setting it apart from typical role descriptions. Salary details are not provided explicitly, leaving the salary range unspecified.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
This role at Chanel presents an opportunity to lead a multidisciplinary BI team in a rapidly evolving digital transformation context. The position requires deep expertise in data visualization,...
read more »
Product Manager Business Intelligence - Sustainability & Solutions (H/F)
chanel
(FR) FULL TIME | JOB LISTED
This role at Chanel presents an opportunity to lead a multidisciplinary BI team in a rapidly evolving digital transformation context. The position requires deep expertise in data visualization, agile product management, and cross-functional collaboration, with a focus on ESG, HR, and legal domains. While the role offers substantial technical challenges and the potential to drive impactful, innovative solutions, it lacks clear salary details and does not explicitly highlight the company’s culture or team dynamics. The job emphasizes technical skill and leadership, but the description lacks the nuanced insight and critical evaluation necessary for a fully informed assessment.
A Senior UX Analyst & data Intelligence role involves managing analytics tools like Contentsquare and Heap, leveraging AI for automation, and ensuring data governance to support design decisions....
read more »
A Senior UX Analyst & data Intelligence role involves managing analytics tools like Contentsquare and Heap, leveraging AI for automation, and ensuring data governance to support design decisions. A key differentiator is the emphasis on AI-driven insights, while a risk includes potential data quality issues. The role requires collaboration across teams and an ability to translate complex data into simple insights.
A 6-month internship at Enedis' DSI involves supporting the department’s operational pilotage through BI tools like Excel and Power BI, with a key differentiator being the creation of performance...
read more »
A 6-month internship at Enedis' DSI involves supporting the department’s operational pilotage through BI tools like Excel and Power BI, with a key differentiator being the creation of performance dashboards. A potential risk is the dependency on legacy systems during migration and tool unification, which may pose integration challenges. The role demands familiarity with SharePoint and VBA, emphasizing technical skills over strategic oversight.
Assistant(e) Data analytics - Stage Janvier 2026
@ shiseido
FR | 2025-12-25
This role, embedded within the HR and HRIS teams, aims to streamline EMEA HR KPIs via Excel reporting and a Power BI migration project. While it offers the chance to tackle operational challenges...
read more »
Assistant(e) Data analytics - Stage Janvier 2026
shiseido
(FR) FULL TIME | JOB LISTED
This role, embedded within the HR and HRIS teams, aims to streamline EMEA HR KPIs via Excel reporting and a Power BI migration project. While it offers the chance to tackle operational challenges with data integrity and reporting, the highlight remains the transition from antiquated Excel formats to a more sophisticated BI tool. The expectation for mastery in Power BI and Excel indicates a technical competence requirement that is underwhelmingly basic for seasoned data engineers. However, the opportunity to influence data quality and improve user experience could appeal to those looking for practical impacts in HR tech. The position seems caught in a buzzword quagmire without a crystal-clear vision, and prospects for true innovation appear limited. Those with a flair for aesthetic data visualization might scratch their heads, wondering what significant difference this role brings to the data engineering ecosystem.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
A role supporting tool and process improvements, project control, and data quality within an organization that develops complex products, with a notable focus on Power BI and internal workflows....
read more »
A role supporting tool and process improvements, project control, and data quality within an organization that develops complex products, with a notable focus on Power BI and internal workflows. The job's differentiator is its emphasis on data quality analysis in Power BI. A significant risk involves reliance on internal tool enhancements, which could be delayed or fall short of expectations.
STAGE - Analyste données et transformation (F/H)
@ dassaultsystemes
FR | 2025-12-23
Dassault Systèmes’ Customer to Cash team runs a 6-month Data Analyst internship that drops you into real-world data wrangling rather than buzzword bingo. The core: finalize missing reports in IBM...
read more »
Dassault Systèmes’ Customer to Cash team runs a 6-month Data Analyst internship that drops you into real-world data wrangling rather than buzzword bingo. The core: finalize missing reports in IBM Planning Analytics, build and feed a datamart from multiple systems and partner credit data, and automate report transfers to the 3DExperience Dashboard THE CTC EXPERIENCE. You’ll deliver Working Capital insights to internal users like Consolidation or CFO Geo and prototype an LLM-powered query interface. Requirements lean toward a BAC+5 data-management spine, solid Python (pandas, numpy) and dashboards, with English at B2. What stands out is enterprise tooling exposure, cross-country data flows, and a tangible, revenue-facing data product. Caveats: internship with potential execution risk, IBM Planning Analytics is niche, and tasks may be heavy on process over pure experimentation.
This role is centered around maintaining and enhancing the quality of a global financial transactional database, with a focus on regulatory reporting and data governance. The position requires...
read more »
This role is centered around maintaining and enhancing the quality of a global financial transactional database, with a focus on regulatory reporting and data governance. The position requires expertise in data monitoring, quality assurance, and process improvement, with potential cross-functional collaboration. While the role highlights the importance of data integrity and regulatory compliance, it lacks clear technical specifications and salary details. The responsibilities span data monitoring, KPI development, and process automation, but the description is vague on the specific technologies and tools required. The role is technically sound but lacks the precision and clarity needed for a professional data engineering profile.
Data Engineering & Business Intelligence Expert
@ adisseo
FR | 2025-12-23
Adisseo seeks a Data Platform & BI Expert to drive a cloud-native, scalable data fabric from pipelines to dashboards. The mix of BI platforms (Power BI), data architecture, and cloud tools...
read more »
Data Engineering & Business Intelligence Expert
adisseo
(FR) FULL TIME | JOB LISTED
Adisseo seeks a Data Platform & BI Expert to drive a cloud-native, scalable data fabric from pipelines to dashboards. The mix of BI platforms (Power BI), data architecture, and cloud tools (Azure/AWS/GCP) plus modern tooling (Databricks, dbt, Airflow) signals a hands-on, end-to-end role more doer than diplomat. The ten-plus years' experience, master BI development, and governance chops imply heavy responsibility: design a secure, governed data platform, lead projects, mentor developers, and maintain documentation while delivering on ambitious BI deliverables. The emphasis on Medallion architecture and star schemas hints at best-practice fever; in practice, you’ll wrestle with data quality, lineage, and CI/CD for data workflows. Market-wise, it’s a solid match for mature teams needing true platform ownership, but the scope risks burnout if resourcing or stakeholder alignment lag.
Two-year data science analytics contract in the Direction Data of a large audiovisual group. The remit centers on understanding users, optimizing editorial and product strategies, and owning Power...
read more »
Two-year data science analytics contract in the Direction Data of a large audiovisual group. The remit centers on understanding users, optimizing editorial and product strategies, and owning Power BI dashboards—from data structure to demos. You will need advanced SQL, Google Cloud Platform and BigQuery chops, plus familiarity with Piano Analytics, Mediametrie and Nielsen data. Deliverables hinge on profiling, user-journey analyses, segmentation, feature adoption, and clear storytelling in Excel/PowerPoint. Budget is modestly opaque: Budget 420, with no currency or period specified, which suggests contractor scope rather than a full-time post. What stands out: domain-specific analytics for media, end-to-end dashboard ownership, and a clear path to impact on editorial/product decisions. Weaknesses: no stated preference for Python/R, limited tooling breadth, and potential vendor lock-in with Piano Analytics—constraining in a crowded market.
The role involves managing partner relationships and driving demand activities within ServiceNow’s ecosystem, with a notable emphasis on integrating AI into workflows. The differentiator is the...
read more »
The role involves managing partner relationships and driving demand activities within ServiceNow’s ecosystem, with a notable emphasis on integrating AI into workflows. The differentiator is the focus on AI integration and partner collaboration, while a potential risk is reliance on external partner performance and the inherent unpredictability of demand generation. No salary information is provided, but the position appears to be strategic and cross-functional.
Linxens seeks a Planning Manager to own Production and Supply Planning, drive S&OP, and keep MPS aligned with demand in a QAD ERP environment. It asks for 5–10 years in production planning, leadership, and English–French fluency, with a finger on KPIs like service level, OTD, stock coverage, and dual-sourcing when needed. The role is heavy on cross-functional collaboration, weekly MPS updates, daily dashboards, and procurement coordination. Tools are traditional: QAD ERP, MPS, and S&OP processes; data tooling beyond KPI dashboards is not showcased. The opportunity is real for shaping end-to-end supply chain in a fast-moving industrial setting, but the job reads like a classic planning desk job rather than a data-driven engineering role. Expect CSR buzz and a strong process discipline, with limited room for modern data engineering or analytics innovation.
LVMH seeks a Data Analyst to lead dashboard projects, requiring collaboration with stakeholders and data teams, with a notable emphasis on Power BI dashboards. The scope involves transforming business needs into visual solutions, with a risk of misaligned requirements and an inherent dependency on cross-functional cooperation. A standout feature is the focus on integrating data within LVMH's data platform, setting it apart from typical role descriptions. Salary details are not provided explicitly, leaving the salary range unspecified.
Product Manager Business Intelligence - Sustainability & Solutions (H/F)
chanel
(FR) FULL TIME | JOB LISTED
This role at Chanel presents an opportunity to lead a multidisciplinary BI team in a rapidly evolving digital transformation context. The position requires deep expertise in data visualization, agile product management, and cross-functional collaboration, with a focus on ESG, HR, and legal domains. While the role offers substantial technical challenges and the potential to drive impactful, innovative solutions, it lacks clear salary details and does not explicitly highlight the company’s culture or team dynamics. The job emphasizes technical skill and leadership, but the description lacks the nuanced insight and critical evaluation necessary for a fully informed assessment.
A Senior UX Analyst & data Intelligence role involves managing analytics tools like Contentsquare and Heap, leveraging AI for automation, and ensuring data governance to support design decisions. A key differentiator is the emphasis on AI-driven insights, while a risk includes potential data quality issues. The role requires collaboration across teams and an ability to translate complex data into simple insights.
A 6-month internship at Enedis' DSI involves supporting the department’s operational pilotage through BI tools like Excel and Power BI, with a key differentiator being the creation of performance dashboards. A potential risk is the dependency on legacy systems during migration and tool unification, which may pose integration challenges. The role demands familiarity with SharePoint and VBA, emphasizing technical skills over strategic oversight.
Assistant(e) Data analytics - Stage Janvier 2026
shiseido
(FR) FULL TIME | JOB LISTED
This role, embedded within the HR and HRIS teams, aims to streamline EMEA HR KPIs via Excel reporting and a Power BI migration project. While it offers the chance to tackle operational challenges with data integrity and reporting, the highlight remains the transition from antiquated Excel formats to a more sophisticated BI tool. The expectation for mastery in Power BI and Excel indicates a technical competence requirement that is underwhelmingly basic for seasoned data engineers. However, the opportunity to influence data quality and improve user experience could appeal to those looking for practical impacts in HR tech. The position seems caught in a buzzword quagmire without a crystal-clear vision, and prospects for true innovation appear limited. Those with a flair for aesthetic data visualization might scratch their heads, wondering what significant difference this role brings to the data engineering ecosystem.
A role supporting tool and process improvements, project control, and data quality within an organization that develops complex products, with a notable focus on Power BI and internal workflows. The job's differentiator is its emphasis on data quality analysis in Power BI. A significant risk involves reliance on internal tool enhancements, which could be delayed or fall short of expectations.
Dassault Systèmes’ Customer to Cash team runs a 6-month Data Analyst internship that drops you into real-world data wrangling rather than buzzword bingo. The core: finalize missing reports in IBM Planning Analytics, build and feed a datamart from multiple systems and partner credit data, and automate report transfers to the 3DExperience Dashboard THE CTC EXPERIENCE. You’ll deliver Working Capital insights to internal users like Consolidation or CFO Geo and prototype an LLM-powered query interface. Requirements lean toward a BAC+5 data-management spine, solid Python (pandas, numpy) and dashboards, with English at B2. What stands out is enterprise tooling exposure, cross-country data flows, and a tangible, revenue-facing data product. Caveats: internship with potential execution risk, IBM Planning Analytics is niche, and tasks may be heavy on process over pure experimentation.
This role is centered around maintaining and enhancing the quality of a global financial transactional database, with a focus on regulatory reporting and data governance. The position requires expertise in data monitoring, quality assurance, and process improvement, with potential cross-functional collaboration. While the role highlights the importance of data integrity and regulatory compliance, it lacks clear technical specifications and salary details. The responsibilities span data monitoring, KPI development, and process automation, but the description is vague on the specific technologies and tools required. The role is technically sound but lacks the precision and clarity needed for a professional data engineering profile.
Data Engineering & Business Intelligence Expert
adisseo
(FR) FULL TIME | JOB LISTED
Adisseo seeks a Data Platform & BI Expert to drive a cloud-native, scalable data fabric from pipelines to dashboards. The mix of BI platforms (Power BI), data architecture, and cloud tools (Azure/AWS/GCP) plus modern tooling (Databricks, dbt, Airflow) signals a hands-on, end-to-end role more doer than diplomat. The ten-plus years' experience, master BI development, and governance chops imply heavy responsibility: design a secure, governed data platform, lead projects, mentor developers, and maintain documentation while delivering on ambitious BI deliverables. The emphasis on Medallion architecture and star schemas hints at best-practice fever; in practice, you’ll wrestle with data quality, lineage, and CI/CD for data workflows. Market-wise, it’s a solid match for mature teams needing true platform ownership, but the scope risks burnout if resourcing or stakeholder alignment lag.
Two-year data science analytics contract in the Direction Data of a large audiovisual group. The remit centers on understanding users, optimizing editorial and product strategies, and owning Power BI dashboards—from data structure to demos. You will need advanced SQL, Google Cloud Platform and BigQuery chops, plus familiarity with Piano Analytics, Mediametrie and Nielsen data. Deliverables hinge on profiling, user-journey analyses, segmentation, feature adoption, and clear storytelling in Excel/PowerPoint. Budget is modestly opaque: Budget 420, with no currency or period specified, which suggests contractor scope rather than a full-time post. What stands out: domain-specific analytics for media, end-to-end dashboard ownership, and a clear path to impact on editorial/product decisions. Weaknesses: no stated preference for Python/R, limited tooling breadth, and potential vendor lock-in with Piano Analytics—constraining in a crowded market.
The role involves managing partner relationships and driving demand activities within ServiceNow’s ecosystem, with a notable emphasis on integrating AI into workflows. The differentiator is the focus on AI integration and partner collaboration, while a potential risk is reliance on external partner performance and the inherent unpredictability of demand generation. No salary information is provided, but the position appears to be strategic and cross-functional.
