Curvion Blue
Company: Curvion Blue
Job Type: Full-time
Location: Remote
Pay: $8–$10/hour
Schedule: Monday–Friday, 9:00 AM–6:00 PM PST
Work Hours: Must be available to work US hours
About Curvion
Curvion is a high-performance Revenue Operations (RevOps) and sales augmentation agency that builds and deploys AI-driven revenue engines and sales systems for clients.
The company develops complete sales infrastructure, including sales processes, go-to-market strategy, CRM systems, AI-enabled tools, sales playbooks, and outsourced sales solutions.
About the Role
Curvion Blue is looking for a Data & Analytics Engineer to become a key part of its reporting and sales data ecosystem.
In this role, you will design and optimize data infrastructure, manage ETL/ELT processes, build reporting dashboards, and ensure that sales teams have accurate and actionable data for decision-making.
You will work extensively with BigQuery, SQL, Python, ETL/ELT pipelines, and Looker Studio, helping transform raw and fragmented data into reliable reporting systems.
Key Responsibilities
- Design, maintain, and optimize ETL/ELT pipelines for accurate and timely data flow into BigQuery.
- Build and optimize data infrastructure using BigQuery.
- Monitor, audit, and troubleshoot datasets for accuracy, consistency, and completeness.
- Develop, maintain, and improve Looker Studio dashboards and reports.
- Optimize reporting performance and data workflows.
- Identify reporting anomalies and investigate their root causes.
- Ensure data integrity across reporting systems.
- Automate manual reporting processes and improve operational efficiency.
- Build reliable data pipelines and workflows.
- Transform raw and fragmented data into usable business insights.
- Support sales leadership with accurate, actionable reporting.
- Collaborate with internal teams while working independently on data and analytics projects.
- Continuously improve data systems, processes, and automation methods.
Required Skills
- Strong proficiency in SQL and query optimization.
- Strong Python skills with the ability to solve practical data problems.
- Experience working with data warehouses, particularly BigQuery.
- Experience designing and managing ETL/ELT pipelines.
- Hands-on experience with Looker Studio and dashboard development.
- Strong understanding of data quality, integrity, and validation.
- Ability to identify and troubleshoot data inconsistencies.
- Strong analytical and problem-solving skills.
- Experience automating manual reporting workflows.
- Ability to turn complex data into clear, actionable insights.
- Comfortable working independently in a fast-paced environment.
- Willingness to learn new tools, systems, and automation technologies.
Ideal Candidate
This role is suited for someone who:
- Enjoys working with clean, reliable, and well-structured data.
- Is comfortable solving complex SQL and data problems.
- Enjoys optimizing ETL/ELT workflows and data pipelines.
- Has a strong eye for data accuracy and reporting anomalies.
- Can build dashboards that make complex information easy to understand.
- Enjoys automating repetitive reporting processes.
- Understands how data can support sales and revenue decisions.
- Can investigate problems and identify their root causes.
- Works effectively both independently and collaboratively.
- Thrives in a fast-moving, high-performance environment.
Work Schedule & Compensation
| Details | Information |
|---|---|
| Position | Data & Analytics Engineer |
| Company | Curvion Blue |
| Job Type | Full-time |
| Location | Remote |
| Pay | $8–$10 per hour |
| Schedule | Monday–Friday |
| Working Hours | 9:00 AM–6:00 PM PST |
| Time Zone | US Hours |
How to Apply
Interested candidates can apply for the Data & Analytics Engineer – Curvion Blue position and work on data infrastructure, analytics, reporting, automation, and sales intelligence projects in a remote environment.
To apply for this job please visit remotejobhiring.com.
