BIE, Customer Experience Strategy, CXBT Capability Team

Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Business Intelligence · Data Engineering

In short

This role is for an experienced Business Intelligence Engineer on the Customer Experience and Business Trends (CXBT) Capability Team in Bangalore, India. The primary responsibilities include building data pipelines, writing SQL/PySPARK queries for reporting, and collaborating with stakeholders to improve customer experience by analyzing large-scale data and translating it into actionable insights.

Responsibilities

Build and maintain data pipelines, ETL jobs, and data models that result in improved Customer experience.
Write and optimize SQL/PySPARK queries to produce weekly and monthly reports, translating raw data into actionable insights for regional leads and senior leadership.
Collaborate with Product Managers, Program Managers, and peer Business Intelligence Engineers to align data definitions, standardize metrics.
Investigate data anomalies, root-cause quality issues, and implement validation checks so that discrepancies are caught before they reach stakeholders.
Maintain clear documentation of your data artifacts and analytical methodology, and identify opportunities to automate manual processes for improved pipeline reliability and reporting efficiency.

Requirements

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)

Desired Qualifications

Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis

Skills

SQLPySparkTableauQuickSightExcelMicroStrategyPowerBIPythonRRedshiftOracleNoSQL

#Customer Experience#Business Intelligence#Data Engineering#Data Analysis

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