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Application Developer - Data Analytics
Application Developer - Data AnalyticsMKS Inc. • Haryana
Application Developer - Data Analytics

Application Developer - Data Analytics

MKS Inc. • Haryana
2 days ago
Job description

Description :

A Day in Your Life at MKS : As an Application Developer, Data Analytics at MKS MSD, you will collaborate closely with the Data Analytics team to support ELN, Spotfire, and related initiatives. Reporting to the Data Analytics Team Manager, you will apply various methods and strategies to assist multiple departments across the organization. This role involves working alongside your immediate team, the team manager, R&D manager, and other cross-functional groups. Open, clear communication with both the team and R&D managers is essential. Youll be encouraged to take initiative, propose your own ideas, and develop effective approaches to successfully carry out your responsibilities.

You Will Make an Impact By :

  • Leading the development and implementation of advanced data analytics techniques, with a strong emphasis on Cheminformatics applications.
  • Acting as the super administrator for Electronic Laboratory Notebooks (ELNs) and data visualization

platforms, ensuring their effective configuration, maintenance, and optimization.

  • Collaborating with stakeholders to gather business requirements and translating them into impactful data analytics solutions.
  • Partnering with cross-functional teams to seamlessly integrate data analytics capabilities into existing systems and workflows.
  • Staying current with emerging trends and innovations in Cheminformatics, Data Science, and related fields, and advising on their strategic application within the organization.
  • Promoting a culture of continuous improvement and innovation by encouraging the adoption of new tools and methodologies to advance analytics performance.
  • Ensuring all data analytics initiatives adhere to data privacy and security standards. Contributing original ideas and strategic approaches to enhance project outcomes.
  • Maintaining clear, consistent communication with stakeholders regarding task progress and deliverables.
  • Demonstrating initiative and self-motivation in upholding work culture and achieving goals.
  • Engaging actively in team-building efforts to support a collaborative and positive work environment.
  • Respecting and protecting the confidentiality of all departmental and project-related information.
  • Skills You Bring :

  • At least 4 years of relevant professional experience in data analytics or a related technical field.
  • Hands-on experience with Revvity Signals ELN and TIBCO Spotfire, including administration and customization will be an advantage.
  • Expertise in customizing ELN templates, scripts, and workflows to align with both research and regulatory requirements.
  • Proficiency in diagnosing and resolving ELN-related technical issues, providing timely support and troubleshooting.
  • Experience collaborating with scientists, research teams, and IT departments to gather and translate technical and functional requirements.
  • Ability to deliver user training and ongoing support for research and laboratory staff.
  • Advanced knowledge of Cheminformatics and Data Science techniques, tools, and best practices.
  • Proven leadership skills and the ability to foster strong, collaborative teams.
  • Strong stakeholder management capabilities with the ability to clearly communicate complex technical ideas to non-technical audiences.
  • Competence in task prioritization, project planning, and defining clear next steps.
  • Excellent communication, interpersonal, and teamwork skills.
  • A self-starter mindset with creative problem-solving abilities, a strong sense of ownership, and a drive for continuous improvement.
  • Preferred Skills : (Optional)

  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Hands-on experience with at least one programming language, preferably C++ or Python.
  • Basic understanding of system architectures and data flow diagrams.
  • Exposure to automation control systems and robotics applications.
  • Knowledge of digital transformation concepts and their implementation in research or technical environments.
  • (ref : hirist.tech)

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