ACT-ON DATA

About the Company

ACT-ON DATA is the data & AI branch of ACT-ON GROUP.

In a world where everything is "data", ACT-ON DATA provides an innovative response that goes beyond the IT vision. We re-establish the connection with businesses and their challenges, so that companies can harness the full power of their data. And gain a decisive competitive edge!

As a privileged partner in our customers' digital transformation, we support them at every stage of their projects. From upstream phases through to application maintenance, including data architecture, harmonious and standardized data integration, analytics and reporting, and predictive analysis.

As an innovative people analytics editor, we go beyond the role of traditional technology provider or consultant. We provide cutting-edge technical skills, coupled with a detailed knowledge of businesses, processes and practices. With "turnkey" and "customizable" solutions that meet all our customers' performance challenges.

We cultivate an irresistible passion for data and AI! It's what drives our community of dedicated experts, who stay on top of the latest innovations. We share our knowledge, best practices and industry intelligence, so that our customers stay at the very forefront of the latest technological advances. And unleash the full potential of their data!

Listed Jobs

Company Name

ACT-ON DATA

Job Title

Data Analyst / Power BI Senior (F/H)

Job Description

**Job Title** Data Analyst – Power BI Senior (Consultant) **Role Summary** Consultant within a Data & Analytics practice. Design, develop, and deliver analytical applications using Microsoft Power BI and related Azure services. Collaborate with business stakeholders to translate requirements into visual dashboards that drive insight and decision‑making. **Expectations** - 3–5 years of proven experience as a Power BI consultant. - Senior or confirmed consultant level with a record of delivering end‑to‑end projects. - Strong understanding of Power BI, SSAS, SSRS, SSIS and Microsoft Azure ecosystem. - Experience with Databricks, Azure Data Factory, and related data‑centric technologies. - Demonstrated ability to handle HR‑related data visualization challenges. - Comfortable working on client sites; limited to no 100 % remote work. **Key Responsibilities** - Gather and clarify business requirements with clients. - Design analytical solutions and data models that meet user needs. - Develop Power BI dashboards and reports, ensuring data accuracy and visual best practices. - Implement data pipelines and ETL processes using SSIS, Azure Data Factory, and other Microsoft tools. - Collaborate with Data Scientists and other stakeholders to integrate advanced analytics. - Deliver technical documentation and provide training to end users as necessary. - Participate in project planning, status reporting, and quality assurance activities. **Required Skills** - Power BI Desktop and Service (including DAX, Power Query). - SSAS (Tabular/Multidimensional), SSRS, SSIS. - Microsoft Azure services: Azure Data Factory, Azure Databricks, Azure Synapse. - Data modeling, ETL, and data warehousing concepts. - Strong data visualization acumen and ability to translate analytical insights into actionable dashboards. - Problem‑solving, creativity, and proactive communication. - Team collaboration and stakeholder management. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field. - Professional Microsoft certifications preferred (e.g., DP-203 Data Engineering, DA-100 Data Analyst, or Azure Data Engineer Associate). ---

Neuilly-sur-seine, France

Remote

Senior

25-11-2025

Company Name

ACT-ON DATA

Job Title

Stage 2026 - Data People Analytics H/F

Job Description

Job Title: Stage 2026 - Data People Analytics H/F Role Summary: Final‑year internship in data analytics and Big Data within a BI & Big Data project team, focusing on designing and implementing analytical solutions, data visualizations, and predictive models for client‑facing people analytics projects. Expectations: - Participate in end‑to‑end project delivery for clients. - Deepen technical knowledge of BI tools, Big Data platforms, and ML/AI techniques. - Contribute to initiatives that address human‑centric challenges such as pay equality and discrimination. - Engage with cutting‑edge data technologies and collaborate with senior consultants. Key Responsibilities: - Gather and refine data requirements from business stakeholders. - Architect BI and Big Data analytical systems (data modeling, lake design, Spark pipelines). - Develop and deploy data‑driven applications using Power BI, Qlik, Tableau, and/or D3.js. - Create insightful visualizations to translate complex data into actionable insights. - Build and validate predictive models with R, Python, and machine‑learning frameworks (including deep learning). - Work closely with senior consultants, operations managers, and cross‑functional teams to ensure solution quality and alignment with project goals. - Maintain project documentation and adhere to project timelines. Required Skills: - Strong analytical and problem‑solving abilities. - Proficiency with BI tools: Power BI, Qlik, Tableau, or similar. - Experience with Big Data technologies (Data Lake, Spark, Hadoop ecosystem). - Programming in R or Python for statistical analysis and ML model development. - Knowledge of data‑visualization libraries (e.g., D3.js). - Familiarity with machine‑learning concepts (regression, classification, clustering, deep learning). - Excellent communication, teamwork, and client‑facing skills. - Curiosity about emerging data technologies and rapid learning attitude. Required Education & Certifications: - Bac+5 level (Master’s/Engineering degree) in Engineering, Computer Science, Data Science, Statistics, or related field. - Current final‑year student expected to complete the degree by early 2026 (January–February). - Certifications are a plus: Microsoft Power BI, Tableau, Qlik, Spark, Python, or R.

Neuilly-sur-seine, France

On site

Senior

28-11-2025

Company Name

ACT-ON DATA

Job Title

Stage 2026 - Data Scientist H/F

Job Description

**Job title** Data Scientist Intern (2026) **Role Summary** Internship in a BI & Big Data consulting team focused on designing, building, and delivering analytical solutions to client projects. Works under senior guidance on the entire data lifecycle: requirement gathering, system design, big‑data implementation, data visualization, and predictive modeling. **Expectations** - Join the team in 2026 for a 6–12‑month internship (full‑time). - Develop hands‑on expertise in big‑data ecosystems, BI tools, and advanced analytics. - Contribute to live client projects, delivering analysis, visual dashboards, and predictive models. - Actively participate in knowledge sharing on emerging topics such as AI and machine learning. - Collaborate with cross‑functional stakeholders, maintaining clear and concise communication. **Key Responsibilities** - Capture and translate business requirements into data‑engineering and analytics solutions. - Design and implement BI and Big Data architectures (Data Lake, Hadoop, MapReduce, MongoDB). - Build interactive dashboards with Power BI, Qlik, Tableau or code‑based visualisations (D3.js). - Develop predictive models using R, Python, machine‑learning and deep‑learning libraries. - Ensure data quality, governance, and compliance throughout project deliverables. - Present findings and insights to technical and non‑technical audiences. - Work closely with senior consultants, project managers, and client teams to meet deadlines. **Required Skills** - Proficiency in at least one BI tool (Power BI, Qlik, Tableau). - Experience with big‑data technologies: Data Lake, Hadoop, MapReduce, MongoDB. - Strong programming skills in Python and/or R; familiarity with SQL. - Basic knowledge of machine‑learning frameworks (Scikit‑learn, TensorFlow, PyTorch). - Data‑visualisation expertise and storytelling ability. - Analytical mindset, creativity, and strong problem‑solving skills. - Excellent written and verbal communication. - Ability to work collaboratively in a fast‑changing, client‑facing environment. **Required Education & Certifications** - Final‑year undergraduate or graduate (Bac+5) student in Engineering, Computer Science, Statistics, Data Science, Applied Mathematics, or related field. - Relevant coursework or projects in analytics, big data, machine learning, and data warehousing.

Neuilly-sur-seine, France

On site

Senior

28-11-2025