J

Data & Analytics Engineer – Revenue Operations

Jobgether • India
Remote
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Own and enhance the data infrastructure powering sales reporting and revenue operations. Design, build, and maintain ETL pipelines, ensure data quality, and develop Looker Studio dashboards. Require strong SQL, Python, and BigQuery expertise with a focus on automation and analytics.

Key Highlights
Design and maintain ETL/ELT pipelines into BigQuery for sales reporting.
Build and automate Looker Studio dashboards and reporting solutions.
Ensure data quality, troubleshoot anomalies, and drive revenue‑critical analytics.
Key Responsibilities
Design, maintain, and optimize ETL/ELT pipelines to ensure accurate and timely data flows into BigQuery.
Build and manage data infrastructure supporting sales reporting, analytics, and revenue operations.
Monitor, audit, troubleshoot, and validate datasets to maintain high standards of accuracy and integrity.
Develop, maintain, and continuously improve Looker Studio dashboards and reporting solutions.
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 to reduce operational effort.
Translate raw and fragmented data into meaningful metrics, trends, and insights for sales leadership.
Partner closely with sales and operational stakeholders to understand reporting requirements.
Continuously evaluate tools, workflows, and processes to improve efficiency, reliability, and scalability.
Technical Skills Required
SQL Python BigQuery
Benefits & Perks
Fully remote work
Full-time employment
Compensation $8–$10 USD per hour

Job Description

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 environment for someone who enjoys autonomy, continuous improvement, automation, and solving complex data challenges.
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