Software Engineer II, ITC - TM1

Nike

Karnataka

On-site

INR 1,500,000 - 2,800,000

Full time

10 days ago
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Job summary

Nike seeks an experienced Planning Analytics engineer to deliver scalable TM1/Planning Analytics solutions with strong finance domain knowledge. You’ll translate Treasury and financial planning requirements into high-performance designs, collaborating with global engineering and SAP finance partners in an Agile setting.

Ideal candidates have deep TM1/PA experience, PAW/PAX proficiency, and a track record architecting end-to-end Planning Analytics solutions.

Qualifications

  • 5+ years of development experience with IBM Cognos TM1 / Planning Analytics
  • 3+ years of experience in Treasury, Cash Management, Corporate Finance, or Supply Chain
  • 3+ years of experience with Planning Analytics for Excel (PAX), including dynamic reports
  • 2+ years architecting end-to-end Planning Analytics solutions
  • Bachelor’s degree in Business, Finance, IT, or related field

Responsibilities

  • Build and maintain TM1 models including cubes, dimensions, rules, and processes
  • Develop reports using PAW and PAX (custom and dynamic)
  • Design end-to-end Planning Analytics solutions
  • Partner with business stakeholders to translate requirements
  • Integrate Planning Analytics with data and BI platforms
  • Participate in Agile ceremonies and delivery
  • Ensure quality through testing and documentation

Skills

IBM Cognos TM1
Planning Analytics
Treasury domain knowledge
PAX (Planning Analytics for Excel)
End-to-end PA/PAW architecture
Advanced Excel
SQL
PowerShell / scripting
Communication

Education

Bachelor’s degree in Business, Finance, IT, or related field

Tools

PAW
PAX
TM1py
SQL
PowerShell
REST API

Job description

Who You’ll Work With

This role partners with Nike’s Treasury, Finance, and Planning teams to deliver enterprise planning solutions. You will work alongside global engineering teams, data and SAP finance partners, and business stakeholders to design scalable analytics capabilities, while collaborating cross-functionally within a fast-paced Agile environment.

Who We Are Looking For

Nike is looking for an experienced Planning Analytics engineer who brings a strong combination of technical depth and finance domain expertise. The ideal candidate has deep experience with IBMCognos TM1/Planning Analytics and understands how to translate complex Treasury and financial planning requirements into scalable, high-performance solutions. This individual is a self-starter who operates effectively in Agile teams, communicates clearly with business and technical stakeholders, and demonstrates strong ownership of end-to-end delivery.

Key Qualifications
  • 5+ years of development experience with IBM Cognos TM1 / Planning Analytics

(Architect, PAW)

  • 3+ years of experience in Treasury, Cash Management, Corporate Finance, or Supply Chain
  • 3+ years of experience with Planning Analytics for Excel (PAX), including dynamic reports
  • 2+ years architecting end-to-end Planning Analytics solutions
  • Bachelor’s degree in Business, Finance, IT, or related field
What You’ll Work On

You will design and deliver scalable Planning Analytics solutions that support Nike’s global finance and treasury operations, enabling data-driven decision-making across the enterprise.

  • Build and maintain TM1 models including cubes, dimensions, rules, and processes
  • Develop reports using PAW and PAX (custom and dynamic)
  • Design end-to-end Planning Analytics solutions
  • Partner with business stakeholders to translate requirements
  • Integrate Planning Analytics with data and BI platforms
  • Participate in Agile ceremonies and delivery
  • Ensure quality through testing and documentation
Additional Technical Capabilities
  • Advanced Excel skills (complex formulas, lookups, aggregations)
  • Working knowledge of SQL
  • Experience with PowerShell and scripting
  • Strong communication and collaboration skills
NICE TO HAVE
  • Familiarity with TM1py
  • Experience with API integrations (REST/POST)
  • Integration with BI tools
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