Senior Data Analyst - Ecommerce Operations

seller prism β€’ Pakistan
Remote
Apply
AI Summary

Turn data into decisions that move revenue, margin, and growth. Lead analytics across a multi-brand ecommerce portfolio and work directly with leadership to guide advertising, pricing, inventory, and expansion strategy.

Key Highlights
Own analytics across a multi-brand ecommerce portfolio
Work directly with leadership to guide advertising, pricing, inventory, and expansion strategy
Deliver clear, quantified recommendations leadership can act on immediately
Technical Skills Required
Power BI DAX Power Query SQL BigQuery Python R
Benefits & Perks
Competitive salary
Fully remote work
High autonomy and real ownership
Fast-growing company with room to scale your role

Job Description


SellerPrism is hiring a Senior Data Analyst who goes beyond dashboards. This role is about turning data into decisions that move revenue, margin, and growth.

You will own analytics across a multi-brand ecommerce portfolio and work directly with leadership to guide advertising, pricing, inventory, and expansion strategy. We’re looking for someone who sees patterns before they’re obvious and translates numbers into clear, confident recommendations.

What You’ll Do

Own Analytics & Business Intelligence

  • Lead the end-to-end analytics strategy for our ecommerce operations
  • Define and track KPIs that directly impact P&L
  • Proactively surface risks, anomalies, and growth opportunities across brands and channels
  • Deliver clear, quantified recommendations leadership can act on immediately
  • Partner with leadership on pricing, inventory planning, ad efficiency, and market expansion

Build Power BI That Actually Gets Used

  • Design high-impact Power BI dashboards for daily executive use
  • Build and maintain shared semantic models using star schema design
  • Set Power BI standards for performance, usability, and governance
  • Enable self-service analytics for stakeholders across the business

Advanced SQL & Data Ownership

  • Write complex SQL queries in BigQuery across multiple data sources
  • Build optimized views and tables to support scalable analytics
  • Own data quality and integrity across systems
  • Partner with technical teams to improve pipelines and data granularity

Deep Ecommerce Analysis

  • Analyze advertising performance at campaign, keyword, and ASIN level
  • Evaluate funnels, conversion rates, and customer lifetime value
  • Monitor competitive pricing, elasticity, and market trends
  • Build cohort analysis, forecasting models, and attribution frameworks
What We’re Looking For

Required

  • 4+ years of data analysis experience in ecommerce, retail, DTC, or high-volume environments
  • Expert-level Power BI skills including DAX, Power Query, data modeling, and optimization
  • Advanced SQL skills with complex joins, CTEs, window functions, and large datasets
  • Experience with BigQuery, or similar
  • Strong understanding of ecommerce metrics like ACOS, TACOS, ROAS, CVR, and LTV
  • Comfort with A/B testing, forecasting, and statistical analysis

Nice to Have

  • Amazon Seller Central or marketplace analytics experience
  • Experience with large SKU catalogs and multi-brand portfolios
  • P&L modeling or financial analysis background
  • Python or R for advanced analytics
  • Strong communicator who can explain complex insights simply
  • Ownership mindset, you fix issues without waiting to be asked
How You Work
  • Proactive, you spot issues before leadership asks
  • Fast and accurate, speed without cutting corners
  • Business-minded, focused on revenue, margin, and growth
  • Clear communicator with decisive recommendations
  • Builder mentality, this is your analytics function to own
Why SellerPrism
  • Direct impact on millions in revenue
  • Work closely with founders and executives
  • High autonomy and real ownership
  • Fast-growing company with room to scale your role
  • Fully remote with flexible execution
  • Performance-driven culture, results matter


Details
  • Schedule: Monday–Friday, core hours 9 AM–5 PM CST
  • Location: Remote
  • Compensation: Competitive and experience-based
  • If you care about turning data into real business outcomes and want full ownership of analytics, we’d love to talk.

Subscribe our newsletter

New Things Will Always Update Regularly