Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst. In this role, you will support global pricing operations, focusing on managing and analyzing large datasets to deliver insights that optimize pricing strategies. You will collaborate with teams across various time zones, ensuring data accuracy and supporting pricing execution. The ideal candidate will demonstrate strong technical abilities coupled with business acumen, thriving in a fast-paced, cross-functional environment.

Accountabilities

• Retrieve, clean, and manage large datasets from multiple sources using SQL and advanced Excel.
• Conduct pricing analytics to set optimal price levels for multiple complex data products.
• Identify KPIs to measure the effectiveness of pricing and monetization strategy.
• Build and maintain pricing reports and Power BI dashboards for pricing performance and leadership insights.
• Automate reporting processes and create data visualizations for decision-making.
• Track the execution of price changes, identify issues and make recommendations for change.
• Execute ongoing price updates in the system, ensuring accuracy and timeliness.
• Manage customer-specific custom pricing in Sales Force, exclusions, and protections.
• Ensure compliance with specific discounting guardrails and maintain reporting on actual rates versus annual pricing targets.
• Collaborate with sales and marketing teams to develop pricing proposals and communicate changes effectively.
• Work closely with Product Marketing and Sales Enablement to ensure seamless implementation of pricing and monetization strategies.
• Act as a key point of contact for operational inquiries related to pricing data, reporting and pricing dashboards.

Requirements

• Strong analytical and problem-solving skills with high attention to detail and timely delivery.
• Excellent technical proficiency in SQL, Power BI (must-have), and advanced Excel.
• Ability to interpret complex data and translate insights into actionable recommendations.
• Clear written and verbal communication skills for internal collaboration.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Strong project management skills, with the ability to effectively collaborate with cross-functional teams.
• Bachelor’s degree in Business, Mathematics, Computer Science, Engineering or related field.
• 3–6 years of experience in data analysis, pricing operations, or similar roles in SaaS, technology, or automotive industries.
• Experience in data gathering, cleansing, and management.
• Comfortable working remotely with international teams and adjusting to global time zones.

Benefits

• Opportunities for professional development and growth.
• Flexible work hours to accommodate international collaboration.
• A diverse and inclusive environment that values varied perspectives.
• Potential for employer visa sponsorship for eligible candidates.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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