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Nokia Jobs Information

What is it like to work at Nokia?

Nokia is a technology company that values innovation, collaboration, and customer-centricity, fostering a culture of openness and transparency among its employees. The company's structure is organized into various teams, including research and development, product management, and sales, which work together to design and deliver cutting-edge wireless and network technologies. Working at Nokia may appeal to candidates who are passionate about shaping the future of technology and telecommunications, with opportunities to contribute to groundbreaking projects and collaborate with a global team of experts.

What makes Nokia an attractive place to work?

Nokia is a leading global technology company with a rich history of innovation and a strong presence in the telecommunications industry. The company offers a dynamic work environment that fosters collaboration, creativity, and innovation, with opportunities to work on cutting-edge technologies and projects. Joining Nokia provides a chance to be part of a global organization with a strong commitment to research and development, offering opportunities for professional growth, skill development, and making a meaningful impact in the industry.

How easy is it to get time off at Nokia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 5 people who took the Breakroom Quiz between November 2024 and August 2025.

Do people at Nokia feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
50% of people say they’re not treated with respect by their managers.
Based on data from 6 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Nokia get to take their breaks without interruption?

Only some people get breaks without interruption.
50% of people report that their breaks get interrupted.
Based on data from 6 people who took the Breakroom Quiz between November 2024 and May 2026.

Is it stressful to work at Nokia?

Some people feel stressed here.
40% of people say they often feel stressed at work.
Based on data from 5 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Nokia enjoy their jobs?

Most people enjoy their job.
67% of people report they enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Nokia recommend working with their team?

Only some people recommend working with their team.
50% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 6 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get enough training when they start at Nokia?

Most people got enough training when they started.
67% of people report they got enough training when they started working here.
Based on data from 6 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get support to advance at Nokia?

Only some people are given support to advance their career here.
In the last year, 60% of people report not being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between November 2024 and August 2025.

Do workers feel well informed about how Nokia is doing?

Only some people feel well informed about how the company is doing.
40% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 5 people who took the Breakroom Quiz between November 2024 and May 2026.

What are the most popular categories at Nokia?

Infographic showing various Sales job openings at Nokia in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

FN NAM Pricing Analytics & AI Specialist

Nokia

Coppell, TX • On-site

Full-time

Posted 9 days ago


Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

31st of 101 rated telecommunications companies


Job description

We are seeking a Pricing Analytics & AI Specialist to drive data-driven pricing strategies, margin optimization initiatives, and AI adoption across the Commercial Management organization. This role combines advanced analytics, pricing strategy, competitive intelligence, and artificial intelligence to improve profitability and commercial decision-making.

The successful candidate will serve as a trusted advisor to commercial leadership, leveraging data and AI-powered insights to enhance pricing governance, identify growth opportunities, and support business transformation initiatives.
Build practical AI and analytics capabilities that improve pricing decisions, margin visibility, forecasting quality, and commercial governance across the Fixed Networks Americas.

Required Qualifications

  • Bachelor's degree in Business, Economics, Finance, Data Analytics, Statistics, Engineering, Computer Science, or a related discipline.

  • Minimum 4 years of experience in pricing analytics, commercial analytics, business intelligence, commercial operations, sales operations, financial planning & analysis (FP&A), or data analytics.

  • Strong quantitative and analytical problem-solving skills.

  • Excellent written, verbal, and presentation skills.

Technical Skills

  • Advanced Microsoft Excel

  • Power BI

  • Data visualization & dashboard development

  • Financial modeling

  • Business intelligence & analytics

  • Data analysis and reporting

  • SQL

  • Python

  • Salesforce data extraction and reporting

  • Microsoft Copilot and Generative AI tools

  • Machine Learning and Predictive Analytics

  • Data automation and workflow optimization
     

Success Measures - First 12 Months

  • Implement multiple AI-driven use cases supporting pricing and commercial decision-making.

  • Establish executive dashboards measuring pricing performance, profitability, and margin improvement opportunities.

  • Automate key reporting and analytical processes to improve efficiency and data accessibility.

  • Develop AI-powered insights that improve pricing governance and decision quality.

  • Identify measurable opportunities for margin expansion and commercial performance improvement.

  • Increase visibility into competitive positioning, pricing effectiveness, and business risks.

  • Contribute to building AI capabilities as a core component of the Commercial Management function.

Pricing Analytics & Margin Optimization
  • Analyze pricing performance, profitability, discounts, and margin trends across products, services, customers, and regions.

  • Identify opportunities to improve pricing discipline and increase profitability.

  • Support pricing reviews, business cases, and strategic pricing initiatives.

  • Develop pricing models, scenario analyses, and financial simulations.

  • Monitor compliance with pricing policies and commercial governance rules.

  • Create dashboards and KPIs to track pricing effectiveness, margin performance, and business outcomes.

    AI-Driven Pricing & Commercial Intelligence
  • Lead the adoption and deployment of AI-enabled analytics within the Commercial Management organization.

  • Develop AI-assisted pricing recommendation models to support pricing decisions and deal governance.

  • Use AI to identify margin leakage, pricing inconsistencies, discounting patterns, and profitability improvement opportunities.

  • Build predictive models for price optimization, win probability, forecast accuracy, margin improvement, product and service attach rates, and customer purchasing behaviors.

  • Develop AI-powered insights that improve the speed and quality of commercial decisions.

    Competitive Intelligence & Market Analytics
  • Monitor competitor pricing trends, market dynamics, and industry developments.

  • Analyze historical deal outcomes and competitive bid intelligence.

  • Support competitive displacement initiatives through data-driven recommendations.

  • Develop market opportunity and market share growth models.

  • Conduct scenario planning and commercial impact assessments.

    Automation & Digital Transformation
  • Automate recurring reporting and analytical processes.

  • Develop self-service business intelligence dashboards.

  • Leverage Microsoft Copilot and other AI technologies to streamline commercial workflows.

  • Identify opportunities to reduce manual activities and improve operational efficiency.

  • Support digital transformation initiatives across Commercial Management.

    Executive Reporting & Decision Support
  • Develop executive dashboards and performance scorecards.

  • Support business reviews with actionable insights and recommendations.

  • Translate complex data into clear, concise business narratives.

  • Present analytical findings to senior leadership and key stakeholders.

  • Provide analytical support for strategic business initiatives and major customer opportunities.


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