Senior Data Analyst- Remote

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

The Senior Analyst is expected to bring strong analytical rigor, technical depth, and business acumen—translating complex data into strategic recommendations, influencing stakeholders, and shaping the evolution of Diesel Direct’s pricing and commercial systems.

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Key Responsibilities

Design, build, and maintain scalable analytical systems that automate ingestion, validation, and transformation of monetization, transactional, and operational datasets from multiple internal and external sources.

Develop, refine, and operationalize pricing and revenue optimization algorithms for the Diesel Direct business, ensuring alignment with commercial strategy and market dynamics.

Lead complex, cross-functional analytical initiatives, including pricing process redesign, purchasing strategy optimization, unit margin analysis, asset utilization modeling, and commercial performance diagnostics.

Build executive-ready dashboards and analytical products (Tableau, Power BI) that surface insights, monitor KPIs, and support decision-making across sales, operations, and supply & trading.

Conduct deep-dive analyses to identify revenue, margin, and efficiency opportunities; quantify impact; and recommend actionable strategies.

Translate analytical findings into business recommendations, influencing senior stakeholders and supporting commercial 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, Operations Research, or a related quantitative discipline.

3-5 years of experience in pricing analytics, revenue management, commercial analytics, or data-driven operational optimization.

Demonstrated experience applying advanced analytical methods (e.g., machine learning, optimization, forecasting) to large, complex 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., Alteryx) and data workflow orchestration.

Expertise in dashboard design and data storytelling using Tableau or Power BI.

Proven ability to translate ambiguous business problems into structured analytical approaches and deliver actionable insights.

Comfortable implementing and validating mathematical and statistical algorithms in a commercial context.

Preferred Qualifications

Knowledge of transportation fuel distribution, including gasoline and diesel supply chains.

Experience with fuel pricing, including contracts, spot markets, and CPQ systems.

Familiarity with margin decomposition, cost-to-serve modeling, and supply & trading analytics.

Originally posted on Himalayas