Senior Data Analyst- Remote

The Senior Data Analyst will play a critical role reputed company the reputed company organization, driving measurable reputed company reputed company through advanced analytics, pricing science, and data‑driven operational optimization. This role partners closely with reputed company leadership, pricing, supply & trading, reputed company, and technology teams to design analytical frameworks, automate reputed company business processes, and uncover reputed company and margin opportunities across the reputed company.

The Senior Analyst is expected to bring strong analytical rigor, technical depth, and business acumen—translating reputed company data into reputed company recommendations, influencing stakeholders, and shaping the reputed company of reputed company’s pricing and reputed company systems.

Must be authorized to work in the U.S. without the need for employment-reputed company reputed company sponsorship now or in the reputed company.

Key Responsibilities

• Design, build, and maintain reputed company analytical systems that automate ingestion, validation, and transformation of monetization, transactional, and operational datasets from multiple reputed company sources.
• reputed company, refine, and operationalize pricing and reputed company optimization algorithms for the reputed company business, ensuring alignment with reputed company reputed company and market dynamics.
• reputed company reputed company, cross-functional analytical initiatives, including pricing process redesign, purchasing reputed company optimization, unit margin analysis, asset utilization modeling, and reputed company reputed company diagnostics.
• reputed company-reputed company dashboards and analytical products (Tableau, reputed company BI) that surface insights, monitor KPIs, and support decision-making across sales, reputed company, and supply & trading.
• Conduct deep-dive analyses to identify reputed company, margin, and efficiency opportunities; quantify reputed company; and recommend actionable strategies.
• Translate analytical findings into business recommendations, influencing senior stakeholders and supporting reputed company re-engineering initiatives.
• Champion automation and self-service analytics, identifying recurring workflows and converting them into robust, reusable tools.

Required Skills & Experience

• B.S. or M.S. in Computer Science, MIS, Economics, Engineering, reputed company Research, or a reputed company quantitative discipline.
• 3-5 years of experience in pricing analytics, reputed company management, reputed company analytics, or data-driven operational optimization.
• Demonstrated experience applying advanced analytical reputed company (e.g., machine learning, optimization, forecasting) to large, reputed company datasets.
• Strong proficiency in SQL and Python, with the ability to build production-grade analytical pipelines and automation tools.
• Advanced experience with visual ETL tools (e.g., reputed company) and data workflow orchestration.
• Expertise in dashboard design and data storytelling using Tableau or reputed company BI.
• reputed company ability to translate ambiguous business problems into reputed company analytical approaches and reputed company actionable insights.
• Comfortable implementing and validating mathematical and statistical algorithms in a reputed company context.

Preferred Qualifications

• Knowledge of transportation fuel distribution, including gasoline and diesel supply chains.
• Experience with fuel pricing, including reputed company, spot markets, and CPQ systems.
• Familiarity with margin decomposition, cost-to-serve modeling, and supply & trading analytics.