30 jul
|
Hewlett Packard Enterprise
|
Lima
30 jul
Hewlett Packard Enterprise
Lima
Pricing Insights Analyst Description – Integral Pricing Performance Manager (Individual Contributor) About the Role The Pricing Insights Analyst turns pricing data into insight and recommendations. Through exploratory data analysis, statistical methods, and data‑science techniques, the role uncovers patterns and opportunities that inform how pricing strategy is customized and how the pricing transformation roadmap is prioritized and supported.
Key Responsibilities - Exploratory data analysis. Run exploratory analysis on governed pricing data to uncover patterns, outliers, and opportunities that standard reporting misses.
- Insights & recommendations. Translate analysis into clear, actionable recommendations for customizing pricing strategy by segment, product, region, or channel.
- Statistical & data‑science modeling. Apply statistical methods and data‑science techniques (e.g. regression, segmentation, elasticity, correlation, forecasting) to test hypotheses and quantify impact.
- Roadmap support. Provide the analytical evidence that helps prioritize the pricing transformation roadmap and support ongoing initiatives.
- Metrics & KPIs. Compute and validate pricing metrics and feed results into pricing dashboards.
- Rapid analysis. Respond to ad‑hoc pricing questions, iterating quickly on governed data.
Education & Experience RecommendedFour‑year or Graduate Degree in Business Administration, Finance, Economics, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 4–7 years of work experience, preferably in strategic management, strategic planning and implementation, consulting, market research, or a related field or an advanced degree with 3–5 years of work experience.
Preferred Certifications Project Management
Professional (PMP) Certification Knowledge & Skills - Analytics & statistics – strong applied statistics and data‑science skills; able to select and defend appropriate methods.
- Tooling – proficiency in Python or R and SQL;
experience with a BI/visualization tool (e.g. Power BI).
- Pricing acumen – understanding of pricing levers and the ability to frame analysis around commercial questions.
- Communication & storytelling – able to distill complex analysis into clear, executive‑ready recommendations.
- Data rigor – works within governed data; documents assumptions and validates interpretation.
- Curiosity & autonomy – self‑directed, hypothesis‑driven, and effective with ambiguous problems.
Must Learn Business
Intelligence
Business Process
Business Requirements
Business Strategies
Computer Science
Dashboard
Data Analysis
Data Modeling
Data Science
Data Visualization
Data Warehousing
Extract Transform Load (ETL)
Finance
Key Performance Indicators (KPIs)
Marketing
Power BI
Python (Programming Language)
R (Programming Language)
SQL (Programming Language)
Tableau (Business Intelligence Software) Must Earn Cross‑Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mandatory Mand
📌 Pricing Insights Analyst (Lima)
🏢 Hewlett Packard Enterprise
📍 Lima