Sr. Pricing & Data Analyst (Remote)

STAFFVIRTUAL; Manila; Remote; PHP 1,000,000 - 1,700,000; Full time

Benefits offered by this job

HMO Day 1 + dependent coverage

Allowances

Attendance bonus

Paid time offs

Company-provided work setup (laptop, …

Job summary

STAFFVIRTUAL is seeking a Senior Pricing & Data Analyst to partner with the CFO on a strategic initiative to simplify a complex pricing structure across 560,000 records and 9,000 SKUs. The role focuses on identifying patterns, structuring data, and translating insights into actionable recommendations for executive leadership.

The ideal candidate has 5+ years in pricing or analytics, expert Excel skills, and experience handling large datasets.

Qualifications

• Bachelor's degree in a related analytical field.
• 5+ years of data/pricing analytics or related experience.
• Advanced Excel skills (Pivot Tables, Power Query, formulas).
• Experience with large/complex datasets.
• Strong business judgment and executive communication.

Responsibilities

• Analyze approximately 560,000 pricing records across ~9,000 SKUs to understand current pricing and identify simplification opportunities.
• Identify pricing trends, patterns, inconsistencies, anomalies, outliers, duplicate logic, and unnecessary complexity.
• Determine which pricing differences are commercially justified vs historical or redundant.
• Develop categorization and segmentation frameworks across products, customers, channels, and pricing groups.
• Form and test hypotheses to understand pricing variation and business sense.
• Recommend opportunities to simplify, standardize, consolidate, or redesign pricing structures while preserving commercial distinctions.
• Transform large datasets into clear insights and actionable recommendations.
• Build analytical models, dashboards, or datasets to support pricing analysis and decision-making.
• Partner with the CFO on strategic pricing decisions and present findings to leadership.
• Work cross-functionally to validate assumptions and support implementation.

Skills

Pricing analytics

Data analysis

Advanced Excel

SQL

Power BI

Python

Data visualization

Education

Bachelor's degree in Business, Economics, Statistics, Data Analytics or related field

Tools

SQL

Power BI

Tableau

Python

Job description

Job Title: Senior Pricing & Data Analyst

About the Client:

A leading organization in the beauty and aesthetics industry, providing professional services, products, and solutions to businesses and consumers across the U.S.

We are seeking a Senior Pricing & Data Analyst to partner directly with the CFO on a high-priority strategic initiative focused on simplifying and improving a highly complex pricing structure. The initial project involves analyzing approximately 560,000 individual prices across approximately 9,000 SKUs. This is not a traditional financial analysis or accounting role. The primary challenge is analytical: understanding a very large and complex pricing dataset, identifying the patterns and logic behind it, separating meaningful commercial differences from unnecessary complexity and historical exceptions, and developing a clearer and more manageable pricing structure. The ideal candidate is someone who can take a large, messy dataset, impose structure on it, identify what matters, ask the right business questions, and translate the analysis into clear recommendations for executive leadership. This role is well suited for someone with a background in pricing analytics, commercial analytics, business intelligence, operations analytics, strategy, consulting, or another highly analytical field.

Responsibilities

• Analyze approximately 560,000 pricing records across approximately 9,000 SKUs to understand the current pricing structure and identify opportunities for simplification.
• Identify pricing trends, patterns, inconsistencies, anomalies, outliers, duplicate logic, and unnecessary complexity.
• Determine which pricing differences are commercially justified and which may be historical, redundant, or no longer necessary.
• Develop logical categorization and segmentation frameworks across products, customers, channels, pricing groups, or other relevant dimensions.
• Form and test hypotheses to understand why pricing varies and whether those differences continue to make business sense.
• Recommend opportunities to simplify, standardize, consolidate, or redesign pricing structures while preserving important commercial distinctions.
• Transform large and complex datasets into clear business insights and actionable recommendations.
• Build analytical models, tools, dashboards, or datasets to support pricing analysis and ongoing decision-making.
• Partner directly with the CFO on strategic pricing and commercial decisions.
• Present findings clearly and concisely to executive leadership and other stakeholders.
• Work cross-functionally with relevant teams to validate assumptions, understand business rules, and support implementation of recommendations.
• Ensure data accuracy and integrity throughout the analysis process.

Required Qualifications

• Bachelor's degree in Business, Economics, Mathematics, Statistics, Data Analytics, Engineering, Information Systems, or a related analytical field.
• 5+ years of experience in data analysis, business analytics, commercial analytics, pricing analysis, business intelligence, operations analytics, strategy, consulting, or a similar analytical role.
• Advanced Microsoft Excel skills, including: Pivot Tables, Power Query, Complex formulas, Lookup functions, Data cleaning and manipulation.
• Demonstrated experience working with very large and complex datasets.
• Strong analytical reasoning and pattern-recognition skills.
• Ability to structure and categorize large amounts of messy or unorganized information.
• Strong problem-solving and critical-thinking skills.
• Ability to move beyond reporting data and determine what the data means from a business perspective.
• Strong commercial judgment and ability to understand the business implications of analytical findings.
• Ability to communicate complex analysis clearly to executive leadership.
• Comfortable working independently with minimal supervision on a high-impact project.

Preferred Qualifications

• Experience in pricing analytics, commercial analytics, revenue optimization, or pricing strategy.
• Experience simplifying, redesigning, or standardizing complex pricing structures or commercial frameworks.
• Experience working with product-level, SKU-level, customer-level, or transactional datasets.
• Experience using SQL to query, manipulate, or analyze large datasets.
• Experience with Power BI, Tableau, Python, or similar analytical tools.
• Background in consulting, strategy, business intelligence, operations analytics, or commercial analysis.
• Experience working directly with CFOs or other C-suite executives.
• Experience translating complex analytical findings into practical business recommendations.

Key Competencies

• Advanced analytical reasoning
• Pattern recognition
• Data interpretation and synthesis
• Data organization and categorization
• Commercial acumen
• Strategic problem-solving
• Pricing logic and segmentation
• Attention to detail
• Hypothesis-driven analysis
• Executive communication
• Process simplification
• Independent decision-making

What Success Looks Like

The successful candidate will be able to take a highly complex pricing environment and progressively make it understandable, structured, and manageable. The objective is not simply to analyze the existing data. The objective is to help the business answer questions such as: Why do we have so many different prices? Which differences are intentional and commercially necessary? Which differences are legacy exceptions or unnecessary complexity? Where can pricing be consolidated or standardized? How can the business create a simpler pricing framework that is easier to manage and make decisions from? The end result should be a clearer pricing architecture, better visibility into how pricing decisions are made, and practical recommendations that management can act on.

Schedule

Night Shift (US Timezone)

Setup

Remote

Why Join STAFFVIRTUAL?

• Competitive compensation and benefits package
  • HMO Day 1 + FREE dependent coverage
  • Allowances
  • Attendance bonus
  • Paid time offs
• Company-provided work setup (laptop, monitor, accessories)
• Training, career growth, and global exposure
• A collaborative and supportive team culture