Data Analyst

India, KA, Bangalore
Vollzeitbeschäftigung

Key Job Details
Location:
India, KA, Bangalore
Job type:
Vollzeitbeschäftigung
Brand:
Dassault Systèmes
Experience level:
8 to 10 years
Date Period:
6/25/2025
Ref ID:
542228

Are you passionate about turning complex data into actionable insights? We're looking for a creative and analytical Data Analyst to join our team and help shape data-driven strategies across the business. This is an exciting opportunity to work in a dynamic, collaborative environment where your models and analyses will directly influence high-impact decisions.

Dassault Systèmes, the 3DEXPERIENCE Company, provides businesses and people with virtual universes to imagine sustainable innovations. Our 3DEXPERIENCE platform leverages the Company’s world-leading 3D software applications to transform the way products are designed, produced, and supported. With its online architecture, the 3DEXPERIENCE environment helps businesses to test and evaluate — anywhere in the development lifecycle of a product or service — the eventual experience they will deliver to their customers. In short, 3DEXPERIENCE powers the next-generation capabilities that drive today’s Experience Economy. 

Role Description & Responsibilities

  • Analyze large, complex datasets to uncover insights, trends, and opportunities that drive strategic decisions
  • Build and deploy predictive models using machine learning techniques (e.g., regression, classification, clustering)
  • Perform data wrangling, preprocessing, and cleaning to prepare data for analysis and modeling
  • Design and execute experiments (e.g., A/B testing) to evaluate hypotheses and business initiatives
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations
  • Collaborate closely with data engineers, product managers, and business teams to define data requirements and deliver end-to-end solutions
  • Stay up to date with industry trends, tools, and best practices in data science and analytics

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • 8+ years of experience in a data science or quantitative analytics role with a good understanding of machine learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience in data mining across different industry segments like Automobile, Infrastructure & Equipment, Aerospace & Defense, manufacturing, Mining etc
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn)
  • Excellent communication skills, with the ability to explain complex data insights in a clear and actionable way

 

 What’s in it for you

  1. Professional Growth: Opportunity to advance within the organization
  2. Learning Environment: Access to training, workshops, and skill development
  3. Collaboration: Work closely with cross-functional teams
  4. Company Culture: Work in a culture of collaboration and innovation

Interested? Click on "Apply" to upload your application documents.

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.
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Dassault Systèmes treibt den menschlichen Fortschritt voran. Mit unseren kollaborativen und virtuellen Umgebungen helfen wir Unternehmen und Menschen, nachhaltige Innovationen erlebbar zu machen. Unsere 3DEXPERIENCE Plattform ermöglicht die Erstellung virtueller Zwillinge der realen Welt, was Mehrwert für über 350.000 Kunden aller Größen und Branchen in mehr als 150 Ländern schafft. Werde Teil unseres globalen Netzwerks von über 23.800 engagierten Mitarbeitenden!

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