Pricing Analyst

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Candidates with a strong academic pedigree (e.g., IIM/ISB/IIT or top global B-schools) or experience at reputed organizations are preferred.

• Own price and margin analysis across products, services, routes, and regions using Snowflake SQL and BI dashboards.
• Build, maintain, and iterate pricing models in

  dbt

  (incremental models, tests, documentation) and surface metrics via BI (Power BI, Tableau, or Looker).
• Monitor competitor pricing, elasticity signals, and promotion performance; recommend price changes and discount guardrails.
• Partner with sales, marketing, finance, and operations to align pricing with business goals and inventory or capacity realities.
• Support bids and quotations with fast, data-backed scenarios and sensitivity analysis.
• Define and track pricing KPIs (realized price, take rate, gross margin, win rate, leakage) with automated Snowflake queries and scheduled reports.
• Contribute to data quality, governance, and documentation for pricing data sets and semantic metrics.
• Run A/B tests or quasi-experiments on pricing and promotions and share concise, decision-ready summaries.

• 3–5 years in pricing, financial analysis, business analytics, or related fields.
• Strong SQL with hands-on experience in Snowflake (warehouses, roles, tasks, query tuning, cost awareness).
• Practical

  dbt

  experience (models, sources, seeds, macros, tests, snapshots, documentation).
• Proficiency in Excel or Google Sheets and at least one BI tool: Power BI, Tableau, or Looker.
• Solid grasp of pricing concepts: elasticity, willingness to pay, discount governance, contribution margin, unit economics.
• Ability to interpret complex datasets and communicate insights clearly to non-technical stakeholders.
• Experience in ecommerce, logistics, or retail pricing is desirable.

• Excellent verbal and written English for collaboration with remote, international teams.
• Strong business acumen, structured thinking, and comfort with ambiguity.
• Proactive, ownership mindset, and ability to manage multiple priorities with clear timelines.

• Bachelor’s degree in Finance, Economics, Business Analytics, Data Science, or a related field.

• Strong academic background from Tier-1 institutes (e.g., IIM, ISB, IIT or top global B-schools) preferred; candidates with experience at reputed firms (Big 4, top consulting, leading product/tech companies, or well-known startups) are strongly preferred.

• Experience with modern ELT and orchestration tools such as Fivetran or Airflow and version control with Git.
• Exposure to ERP, CRM, or order management systems and pricing platforms; familiarity with APIs for competitor or market data.
• Understanding of statistical or predictive modeling for pricing optimization (e.g., regression, demand curves, basic experimentation).