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Experience Level
Experience
Qualifications
The ideal candidate should possess the following qualifications:Proven experience as a Data Analyst or in a similar role. Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R. Excellent problem-solving skills and attention to detail. Ability to communicate complex findings clearly to both technical and non-technical stakeholders. A degree in Data Science, Statistics, Mathematics, or a related field is preferred.
About the job
Nexton is looking for an Experienced Data Analyst to join the team in Paris. The position centers on examining complex datasets to find insights that help guide decisions across the company.
What you will do
Work with large and diverse data sets
Spot trends, patterns, and meaningful insights
Offer data-backed recommendations to support various teams
Requirements
Strong background in data analysis
Interest in working with colleagues from different parts of the organization
Willingness to share expertise and collaborate within a team
This role is based in Paris.
About Nexton
Nexton is a leading company in the tech industry, committed to innovation and excellence. We foster a collaborative work environment where creativity and teamwork thrive. Join us and be part of a forward-thinking organization that values your contributions and supports your professional growth.
At Avisia, we engage with our clients on 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects addressing both purely technical challenges and more business-oriented issues.Our clientele spans diverse sectors including Luxury, Retail, Telecommunications…
Avisia is at the forefront of data-driven decision-making, engaging with clients on 100% data-focused missions that blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing both technical challenges and business-oriented issues.Our clients span various industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data themes you may work on are equally diverse. Here are some current project examples:Development and deployment of reports for the Executive Committee of a leading long-term vehicle rental company catering to large enterprises. #ManagementConducting ad-hoc studies for retail brands: product/brand launch analysis, brand cannibalization, profiling of lapsed customers… #CustomerInsightsParticipating in the redesign of the marketing campaign targeting program for a luxury brand. #CRMIn connection with CSR issues, implementing an application to identify and qualify bank clients to assist them in adapting to the Energy Performance Diagnosis changes. #DataVisualization
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Role overview Nexton is looking for an Experienced Data Analyst to join the team in Paris. The position centers on examining complex datasets to find insights that help guide decisions across the company. What you will do Work with large and diverse data sets Spot trends, patterns, and meaningful insights Offer data-backed recommendations to support various teams Requirements Strong background in data analysis Interest in working with colleagues from different parts of the organization Willingness to share expertise and collaborate within a team This role is based in Paris.
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Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation
Our Mission:At Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation
About Our Missions:At Avisia, we engage with our clients on 100% data-focused projects that integrate both technical and strategic dimensions, where data drives operational performance. As a Data Engineer, you will be the architect who makes data actionable. Depending on your profile, you will contribute to building robust data platforms (Data Lakehouse) or the industrialization of complex flows intended for AI.Our clients, spanning luxury, retail, telecommunications, and banking sectors, are facing an explosion in the volume and variety of data. Your role will be to ensure the fluidity, quality, and security of these data flows.Current Projects Include:Migrating on-premise legacy systems to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigrationIndustrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD practices. #OrchestrationDeploying applications, APIs, and AI services (ML prediction algorithms, chatbots, etc.) #MLOpsAuditing and redesigning ingestion pipelines to reduce computing and storage costs on GCP or AWS. #PerformanceDeveloping Kafka components, exposing them via APIs, and ensuring the performance of real-time flows on an international scale. #Streaming
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Our Mission:At Avisia, we engage in 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects that tackle purely technical challenges or more business-oriented issues.Our clients span a range of diverse sectors including Luxury, Retail, Telecommunications, Banking, and Insurance. You will encounter a variety of data science themes in your projects.Here are some current project examples:Designing models to forecast sales generated on an e-commerce platform for a retailer. #ForecastingDeveloping and industrializing a recommendation engine aimed at optimizing conversion rates for website visitors. #RecommendationCreating an attrition score to identify slowly declining customers for a major retail company. #ChurnImplementing customer segmentation to enhance marketing and sales actions for a brand (targeting, retention, based on channel preferences). #CustomerSegmentation
Join our dynamic team at Meritis as a Data Engineer (H/F) in the heart of Paris. We are looking for passionate individuals who are eager to innovate and drive data solutions that empower business decisions.
Join our dynamic team at Iliad as a Senior Data Engineer based in Paris. In this pivotal role, you will leverage your expertise in data engineering to design, develop, and maintain robust data pipelines and architectures. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance our data infrastructure.
Join our dynamic Blue Team at the heart of our Security Operations Center (SOC) and play a crucial role in identifying abnormal behaviors and vulnerabilities to safeguard our clients' information systems. Your Responsibilities:Support a portfolio of clients in protecting their information systems by identifying abnormal behaviors.Develop and propose tailored remediation plans that align with your client's context and business risks.Communicate detected elements to your clients effectively.Contribute to the enhancement of detection techniques and incident response rules within our SOC, helping to shape a distinctive product in the cybersecurity market. Your Future Projects:Envision engaging in activities that could be yours when you join us...Analyze subtle signals detected by mySOC algorithms.Collaborate with mySOC Level 3 experts to thwart sophisticated attacks.Provide feedback to the Product team regarding enhancements for analysis tools and incident reporting.Guide the operational security team of a client in analyzing a security incident, sharing critical insights and advice.Advise clients' Chief Information Security Officers (CISOs) on actions to take in response to incidents.
Apr 29, 2025
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