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Data Analyst

Job in 2000, Neuchâtel, Neuchâtel, Switzerland
Listing for: JobCourier
Full Time position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Manpower

Our client Philip Morris is looking for a Data Analyst based in Neuchatel or Lausanne (hybrid).

Role Purpose

Enable data informed decisions by transforming raw business data (in particular IP Law internal data & publicly available patent data) into trustworthy and actionable insights and intuitive analytics report or dashboard. The role owns the end to end BI lifecycle ? from requirement collection and data acquisition to secure publishing using Power BI, Excel, and out-of-the box reporting capability from operational tool.

Key

Accountabilities
  • Requirement Capture the needs via interview and translate the needs into a plan of action
  • Data sourcing & integration Understand the enterprise data sources landscape, contribute to the definition of the extract/refresh strategies (if required), and build simple transformations scripts.
  • Visualization & storytelling Build accessible dashboards and reports using native operational reporting tool (e.g. Salesforce reporting framework), or Power BI or advanced Excel where appropriate with focus on business relevance; iterate based on stakeholder feedback.
  • Stakeholder engagement Partner with IP Law stakeholders to translate requirement into reports and/or dashboard
Core Technical Competencies (Know?

Do?

Teach) Must Have
  • Power BI ? design reusable, documented models for BI reporting and apply templates and best practices.
  • Excel (Advanced) ? Power Pivot, complex formulas, pivot tables, and data modeling for analytical workbooks.
  • At least 3- 5 years of experience in a related field
Nice to have
  • Salesforce Reporting ? build/maintain Salesforce reports and dashboards;
  • Experience with ETL, RPA or programing language like python is considered an additional asset for implementing automated data extraction and transformation procedures.
Soft Skills Must have
  • Agile ? listen, experiment, adapt, and learn from mistakes
Nice to have
  • Embrace Challenge ? take thoughtful risks to innovate and disrupt
  • Drive for Impact ? act with energy to deliver outcomes despite adversity

We are looking forward your application !

Settore:
Industria chimica

Ruolo:
Ricerca e sviluppo

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