Business Analyst

Tenengroup is shaping the personalized e-commerce experience for customers around the world.

We are a data-driven, end-to-end e-commerce house of brands, operating more than 30 websites globally. By leveraging advanced data, technology, and market insights, we create personalized shopping experiences that delight millions of customers worldwide.

About the Role:

Our Business Analytics team is looking for a passionate and analytical team player to join us.

In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.

As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.

This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.

Requirements:

Bachelor’s degree in Industrial Engineering, Information Systems, Statistics, Economics, or a related field.
4+ years of industry experience as a business/data analyst, with strong leadership engagement – must
3+ years writing complex SQL queries - must
3+ years with Tableau (or a comparable BI tool) - must
Experience in the online / e-commerce industry - must
Strong diagnostic analytics: able to break a KPI down into its drivers and analyze a full funnel, not just report numbers, but explain the “why” and find the lever -must
End-to-end ownership of the data flow: problem definition, data collection, modeling, analysis, and reporting - must
Hands-on, daily use of AI/LLM tools for analysis, with the drive to push an AI-first way of working — not just occasional use - must
Experience with A/B testing/experimentation and the statistics behind it - must
Experience with Excel.
Storytelling - turning analysis into a clear, convincing narrative- is what we are looking for.
Agile mindset - start fresh after a failure.

Responsibilities:

Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brand’s funnel and KPIs — explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics — use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works — champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the company’s needs.

Advantages:

Experimentation / feature-flag platforms (GrowthBook, Optimizely, Eppo, StatSig, VWO).
Building AI / agentic workflows for analytics - beyond using a chatbot: wiring LLMs into reporting, agent or MCP-based tooling, automated insight generation.
Python or R for analysis and automation.
Pricing, unit-economics or COGS-based profit analysis.
GA4, Adobe Analytics or Amplitude; modern data-engineering stack (dbt, Airflow, Kafka, lakehouse / Unity Catalog).
Experience in a considered-purchase category (jewelry, fashion, luxury).

Division:
Line Of Business