This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data & Analytics Engineer based in India.

This is a fully remote, full-time role at the intersection of data engineering, analytics, and revenue operations. You’ll serve as a key owner of the data infrastructure that powers sales reporting, performance tracking, and business decisions. The role combines hands-on engineering with analytical problem-solving, giving you ownership over pipelines, data quality, dashboards, and reporting workflows. You’ll work with large and sometimes fragmented datasets, transforming them into reliable information that sales leaders can act on. Your work will directly support operational efficiency, revenue growth, and scalable decision-making. This is an ideal setting for someone who enjoys autonomy, continuous improvement, automation, and solving complex data challenges.

n

Accountabilities

•
Design, maintain, and optimize ETL/ELT pipelines to ensure accurate, timely, and reliable data flows into BigQuery.

•




Build and manage data infrastructure that supports sales reporting, analytics, and revenue operations.

•
Monitor, audit, troubleshoot, and validate datasets to maintain high standards of accuracy, consistency, completeness, and integrity.

•
Develop, maintain, and continuously improve Looker Studio dashboards and reporting solutions that make complex sales data accessible and actionable.

•
Optimize SQL queries, data models, pipelines, and reporting workflows for performance and efficiency.

•
Investigate reporting anomalies and data inconsistencies, identify root causes, and implement lasting solutions.

•
Automate manual reporting processes and build scalable workflows that reduce operational effort and improve reliability.

•
Translate raw and fragmented data into meaningful metrics, trends, and insights that support sales leadership and business decisions.

•
Partner closely with sales and

📌 Data & Analytics Engineer (India)
🏢 Jobgether
📍 India