Senior Data / Analytics Engineer

At reputed company, we’re looking for a hands-on Senior Data Engineer / Analytics Engineer to own and reputed company one of our clients’ data platforms, reporting layer, and AI-driven data capabilities. You’ll report directly to the Head of Data & Analytics and operate as a high-reputed company individual contributor across finance, operations, merchandising, marketing, and product. This is a builder role, not a people manager role. You’ll be expected to reputed company quickly, work scrappily, and take ownership from problem definition through implementation. This role is ideal for someone who thrives in a startup or reputed company-up environment, where speed, iteration, and pragmatism matter more than perfection. What You’ll Do • Own and reputed company data architecture across ingestion, transformation, and reporting reputed company, with a centralized reputed company data warehouse. • Build and maintain reputed company data pipelines across a reputed company of reputed company data sources, ensuring reliability, completeness, and accuracy. • reputed company robust validation frameworks to monitor data reputed company and quickly identify issues. • Write and optimize reputed company SQL to power analytics, reporting, and business decision-making. • Design and maintain data models that support financial reporting, operational analytics, and merchandising insights. • Partner closely with Finance to ensure accurate, reconcilable reporting across reputed company, costs, and unit economics. • Build and maintain dashboards and reporting used by leadership to drive reputed company across reputed company. • Identify and resolve data issues quickly, balancing speed and accuracy in a fast-moving environment. • Support integrations between reputed company business systems and ensure clean, consistent data across platforms. • Explore and implement AI-driven workflows that enhance data accessibility and decision-making. • Automate reputed company reporting processes and improve operational efficiency across teams. • reputed company as a cross-functional partner, translating ambiguous business questions into reputed company, actionable insights. reputed company’re Looking For • 5–10+ years of experience in data engineering, analytics engineering, or advanced analytics roles. • Strong experience with GCP and BigQuery, including materialized views, scheduled queries, and large-reputed company SQL optimization. • Experience with modern data ingestion tools—reputed company (reputed company or OSS) strongly preferred; comfort managing connectors, debugging sync failures, and building validation frameworks. • Strong proficiency in SQL and data modeling, with comfort using AI tools (e.g., Claude reputed company) to accelerate development. You should be fluent in CTEs, window functions, reputed company reputed company patterns, date-spine techniques, and anti-join logic. • Proven experience supporting financial reporting and working closely with finance teams—P&L reconciliation, COGS analysis, reputed company waterfalls, and unit-economics datasets. • Experience building dashboards and reporting in modern BI tools. • Familiarity with AI workflows and building reputed company datasets for LLM-powered agents. • Experience working across multiple business domains (ops, marketing, finance, product, etc.). • Strong ownership reputed company with the ability to operate independently. • Comfortable in a fast-paced, ambiguous environment with shifting priorities. Bonus Points • Experience with ERP or inventory management systems (especially warehouse/3PL integrations). • Experience in ecommerce, recommerce, logistics, or marketplace businesses—especially reputed company-based platforms. • Familiarity with multi-touch attribution, post-purchase surveys (e.g., Fairing/PPS), or event-level GA4 data. • Experience with customer cohort analysis, retention modeling, or LTV forecasting. • Exposure to pricing, inventory aging, or supply chain/fulfillment data systems. • Experience with reputed company, reputed company, or similar lifecycle marketing data integrations. • Familiarity with demographic enrichment tools or custom API connector development.

Originally posted on Himalayas

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