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Pricing Analyst (APAC & G. China)

Agilent Technologies

Singapore

Hybrid

USD 60,000 - 100,000

Full time

4 days ago
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Job summary

An innovative firm is seeking a Pricing Analyst to optimize pricing strategies across the APAC & G. China regions. This role is pivotal in managing data and analytics, providing insights that shape pricing approaches. The successful candidate will leverage data to inform decision-making, develop predictive models, and collaborate with cross-functional teams. This position offers a unique opportunity to drive impactful pricing strategies in a dynamic market environment. Join a company that values analytical rigor and strategic thinking, and be part of a team that influences business outcomes through effective pricing practices.

Qualifications

  • 4+ years of experience in pricing analytics or data science.
  • Proficiency in SQL and Python for data manipulation.
  • Strong knowledge of data analysis tools and techniques.

Responsibilities

  • Collect and maintain pricing performance and market data.
  • Develop models to support pricing strategy formulation.
  • Track and report on critical pricing metrics for stakeholders.

Skills

SQL
Python
Data Analysis
Statistical Modeling
Communication Skills

Education

Bachelor’s degree in Data Science
Bachelor’s degree in Statistics
Bachelor’s degree in Mathematics
Bachelor’s degree in Economics
Bachelor’s degree in Computer Science

Tools

Qlik
Regression Analysis
Predictive Modeling
Time-Series Forecasting

Job description

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Job Description

The

Job Description

The Pricing Analyst (APAC & G. China) will play a key role in optimizing pricing strategies, managing data and analytics, and driving insights that shape Agilent's pricing approach across APAC & G. China regions. This role combines data management, analytical rigor, and cross-functional collaboration to ensure pricing decisions align with evolving market conditions and strategic business objectives.

The Pricing Analyst will support initiatives like the discounting projects and facilitate the deployment of discounting guidance to enable disciplined and effective pricing practices.

Key Responsibilities

Pricing data management and analytics

  • Collect, clean, and maintain data sets, including pricing performance data, market and competitive data, and other customer and transaction data, to inform and support decision-making
  • Leverage relevant data sets to analyze pricing performance and identify actionable insights
  • Develop models to support pricing strategy formulation and decision making
  • Ensure data integrity and accuracy to enhance model usability
  • Ability to use programming languages such as SQL or Python will be a plus

Maintenance and enhancement of net price guidance engine

  • Maintain and continue to refine algorithm and model for net price guidance, e.g., fine tune levels of existing adjusters, test and add in new adjusters, evolve current algorithm to support more complicated business logic
  • Continuously refine and test predictive models to improve their accuracy and scalability
  • Leverage other advanced statistical techniques (e.g., regression analysis, time-series forecasting) to support future pricing model or algorithm needs

KPI tracking and dashboard visualization

  • Track and report on critical pricing metrics, ensuring key stakeholders have visibility into pricing performance and its impact
  • Partner with commercial analytics team to develop and maintain pricing performance dashboards

Strategic pricing partner

  • Provide pricing analytics and insights to support strategic decision making for other teams, including Sales, Sales Enablement, Product Marketing, and Finance
  • Report and translate complex data and statistical concepts into actionable insights for leadership and other relevant stakeholders
  • Support implementation and change management for any new pricing models, tools, dashboards, policies, etc.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 4+ years of experience in pricing analytics, data science, or a related field
  • Proficiency in SQL or other language for data manipulation and analysis
  • Strong knowledge of data analysis tools like Python for statistical modeling
  • Experience creating, cleaning, and maintaining large data sets for strategic use
  • Familiarity with advanced statistical techniques, including regression analysis, predictive modeling, and time-series forecasting
  • Proficiency with data visualization tools such as Qlik
  • Strong communication skills with the ability to present technical concepts to non-technical audiences
  • Demonstrated ability to collaborate with cross-functional teams to drive outcomes
  • Experience in pricing or financial analysis within a corporate or consulting environment

Critical Capabilities

  • Applies analytical rigor to evaluate pricing performance, identify trends, and make strategic recommendations
  • Balances short-term execution with long-term goals to optimize pricing strategies across global markets
  • Builds strong relationships with cross-functional teams, effectively communicating complex ideas to drive alignment
  • Ensures data integrity and accuracy in all analyses and visualizations

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required:

10% of the Time

Shift:

Day

Duration:

No End Date

Job Function:

Administration

Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
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