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Business Intelligence Engineer, MENA CX Product

Unlock employer Dubai, United Arab Emirates Posted: 28 Jan 2025

Financial

  • Estimate: $60k - $80k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate

Position

Our team owns building products for the onsite shopping CX of MENA customers. We are looking for a Business Analyst to lead efforts to quantify the customer funnel, build entitlements, and automate the daily/weekly tracking of shopping events. The leader in this role is the starting point of product roadmap creation, needs to demonstrate customer advocacy and develop a strong hold on quantified customer behavior. This role partners with Product managers, Tech and Business teams in MENA, and WW to establish feature value. It is placed in a fast-paced ambiguous space, which will require the candidate to work with speed and depth all together. They will need to influence stakeholders and lead communication with L8+ leaders.

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Key Responsibilities

  • Own shopping funnel entitlements and enable features to be quantified to establish their contribution to closing entitlement gaps.
  • Own reporting of shopping journeys in both languages for regular stakeholder reviews.
  • Dive deep into platform impact of launched/in-experiment features and lead course correction with Product Managers.
  • Innovate for securing access to the right customer event data to establish impact.

Requirements
Basic Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience in Statistical Analysis packages such as R, SAS, and Matlab.
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.

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