Data Analyst 2 - Pune, Maharashtra, India - Michelin

Michelin
Michelin
Verified Company
Pune, Maharashtra, India

2 days ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description
Data Analyst_2


KEY EXPECTED ACHIEVEMENTS

  • Delivering a range of services and solutions for clients using Microsoft's Power Platform, including PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations.
  • Provide handson technical expertise to design and implement Power Platform solutions that meet the specific needs of each client.
  • Guide teams in using the Microsoft Power Platform to its fullest potential and can understand business difficulties to provide effective solutions using problemsolving and decisionmaking skills.
  • Keep up to date with new technologies and industry standards, best practices, and trends.
  • Automating business processes using Power Apps and Power Automate and can use various connectors to integrate disparate systems into the Power Platform.
  • In addition to the above, assist in the evaluation, development, and implementation of company systems, and be able to contribute across all phases of the software development life cycle.
  • Expertise in crafting Power Apps and Power Platform solutions and are able to impart their knowledge to both prodevelopers and citizen developers.
  • Sound knowledge and hands on experience using Dataverse to build robust and scalable Power Apps.
  • Partner with crossfunctional technology and design teams to ensure a consistent, positive client interaction and solution delivery.
  • Relevant Data to meet customer need are identified, captured and selected
  • Business activities and management teams have the action recommendations they need to create value
  • Company offers, services or processes are optimized through knowledge gained through data analysis and valuation
  • Group prescriptions on ethics and data governance are enforced and respected
  • Resources/tools and competencies needed to govern and analyze data are optimized
Data structuration and valuation

  • Identifies and understands issues the company/entity/business is facing and relevant data sources for its scope or elsewhere
  • Prioritizes needs with stakeholders
  • Identifies or acquires data needed to meet a complex or cross functional business need and define levers for value creation
  • Collects, selects and validates data relevant to the analysis
  • Analysis and valorizes, with the help of a Data Scientist, heterogeneous, possibly unstructured, data masses to extract useful knowledge for the optimization of the company's offers, services or processes and to obtain reliable results
  • Interprets complex dataset, analyzes results, identifies trends and/or avenues for action, and makes recommendations based on the analysis of collected data
  • Synthesizes and organizes analysis in relevant templates and dashboards, understandable by all, using data visualization tools
  • Communicates and explains analysis results and recommendations to stakeholders and other partners through appropriate processes (Business Review, PSQ diagnoses, etc.)
Communication and decision support

  • Helps the organization to make strategic business decisions that create value through the use of available data
  • Presents costbenefit analysis and argues strategy choice.
  • Establishes monitoring indicators to link data strategy to performance
  • Anticipates longterm needs within its perimeter and effectively influences the improvement of product, service offers or organizational processes
Data Quality, Ethics and Security

  • Applies Group standards for data security, quality and confidentiality throughout their lifecycle and processing
  • Meets ethical rules in the use of data
Market Watch/ Continuous improvement

  • May contribute to model or tool design to better detect Insights and opportunities for growth or improvement
  • Contributes to defining/writing specifications on storage requirements, data structuring in connection with business entities, data Scientist, data Architect, and master data owner of the entity
  • Benchmarcke other Business/Business Line on Data Analysis
  • Promotes open and innovative thinking to harness technological advances in defining perimeter objectives.
  • Ensures the sharing of good practices (internally and externally) and participates in the development of the skills of its business network

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