Manager, Data Analytics
About this role
Accountabilities:
• Lead, mentor, and develop a team of approximately 8 data analysts supporting Pricing & Supply initiatives, ensuring strong performance and professional growth.
• Partner with cross-functional leaders across pricing, supply, product, and data teams to define analytical priorities and deliver measurable business impact.
• Translate complex and ambiguous business problems into structured analytical frameworks, dashboards, experiments, and actionable recommendations.
• Build and maintain scalable analytics processes, including reporting standards, prioritization systems, and reusable data assets.
• Analyze marketplace dynamics, pricing performance, supplier coverage, customer behavior, margin, and conversion to support strategic decision-making.
• Strengthen analytical rigor across the team by improving metric definitions, storytelling, experimentation, forecasting, and root-cause analysis.
• Collaborate with data engineering and analytics engineering teams to enhance data quality, tooling, and self-service capabilities.
Requirements:
• 7+ years of experience in data analytics, business analytics, data science, or a related field.
• 3+ years of experience managing and developing high-performing analytics teams.
• Strong SQL skills with experience working on large and complex datasets.
• Proven ability to influence business decisions through data in high-growth environments such as marketplace, SaaS, e-commerce, fintech, or similar industries.
• Strong business acumen with the ability to connect analytics insights to revenue, margin, customer experience, and operational outcomes.
• Experience building scalable dashboards, reporting frameworks, and analytics operating models.
• Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
• Track record of hiring, coaching, and retaining strong analytical talent.
• Preferred: experience in pricing, supply, revenue management, experimentation, forecasting, or advanced analytics methods; familiarity with tools such as Snowflake, dbt, Looker, Tableau, or similar platforms.
Benefits:
• Competitive base salary ranging from 144,500 to 200,000 USD annually, depending on experience and location.
• Additional compensation opportunities including bonuses, commissions, and equity.
• Comprehensive benefits package including healthcare coverage and wellness support.
• Flexible hybrid and remote work options depending on role and location needs.
• Exposure to high-impact, data-driven decision-making in a fast-growing tech environment.
• Opportunities for career growth, leadership development, and advancement in analytics.
• Access to modern data tools and a strong culture of innovation and experimentation.
How Jobgether works:
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!
Why Apply Through Jobgether?
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.
#LI-CL1