RecruiterForge Data Analyst Job 2026 — RecruiterForge is advertising a remote, full-time Data Analyst position in the United States with a listed annual salary of $167,000. The role focuses on business analytics, subscription metrics, data modeling, dashboards, and AI-assisted analytics.
Job Overview
| Job Detail | Information |
|---|---|
| Company | RecruiterForge |
| Job Title | Data Analyst |
| Location | United States |
| Work Mode | Remote |
| Job Type | Full-Time |
| Listed Salary | $167,000 per year |
| Experience Required | Not specified in the supplied description |
| Key Technologies | dbt, LookML, Dashboards, AI Agents |
| Departments Supported | Marketing, Sales, Finance, People, Operations, Product |
About RecruiterForge
RecruiterForge is the company advertising this data analytics opportunity. The supplied listing describes a role that works across business functions to turn business questions into actionable insights, maintain reliable datasets, and improve AI-assisted analytics.
Job Description
RecruiterForge is seeking a Data Analyst to collaborate with teams across Marketing, Sales, Finance, People, Operations, and Product. The selected candidate will work closely with the existing analytics owner to develop expertise in subscription metrics, build dependable datasets and dashboards, and ensure that AI-assisted analytical outputs are accurate and useful.
This role combines business analysis, data modeling, dashboard development, and stakeholder communication. It also involves improving the definitions and context that AI agents use when answering analytical questions.
Key Responsibilities
- Partner with business teams to understand their goals, performance metrics, and decision-making needs.
- Manage analytical projects from clarifying business questions and selecting datasets to presenting findings.
- Develop and document subscription metrics, including definitions, filters, limitations, and known data-quality issues.
- Build and maintain dbt models, LookML explores, and dashboards that enable business teams to analyze data independently.
- Use AI agents in analytical workflows and provide the semantic context needed for accurate results.
- Identify incorrect AI-generated answers and improve the underlying definitions and analytical logic.
- Enhance data models and pipelines to improve data reliability and usability.
- Investigate data discrepancies and help resolve data platform issues.
- Translate business requirements into reliable analysis and explain findings clearly to non-technical stakeholders.
Technical Skills and Knowledge
Based on the supplied job description, candidates may benefit from familiarity with:
- dbt: Developing and maintaining data transformation models.
- LookML: Defining data models and explores for business intelligence.
- Dashboard Development: Creating accessible reporting for business teams.
- Subscription Analytics: Understanding subscription metrics and their definitions.
- Data Quality: Investigating inconsistencies and validating analytical outputs.
- AI-Assisted Analytics: Working with AI agents and improving the accuracy of their responses.
- Business Analysis: Converting business questions into measurable insights.
- Stakeholder Communication: Presenting analytical findings to technical and non-technical audiences.
The supplied description does not specify mandatory education, years of experience, or a complete list of required qualifications. Applicants should check the original posting for these details.
Who Should Apply?
This position may be relevant to data analytics professionals who enjoy working closely with business teams, developing reliable data models, building dashboards, and improving the quality of AI-driven analysis.
Candidates with experience in business intelligence, subscription analytics, dbt, LookML, or data quality may find the role particularly relevant. Review the employer’s full requirements before applying.
Salary and Benefits
The LinkedIn listing displays an annual salary of $167,000 for this remote, full-time position.
The supplied job description does not provide details about bonuses, health insurance, paid leave, or other employee benefits. Candidates should confirm the compensation structure and eligibility conditions with the employer.
How to Apply for the RecruiterForge Data Analyst Job
Interested candidates can review the full job details and submit an application through the link provided in the listing.
Apply Online: RecruiterForge Data Analyst – Job Application
Before applying, review the role requirements and highlight relevant experience in analytics, data modeling, dashboard development, and AI-assisted workflows.
Frequently Asked Questions (FAQs)
1. Is RecruiterForge hiring for a Data Analyst position?
Yes. The supplied listing advertises a remote Data Analyst role in the United States.
2. What is the listed salary?
The job listing displays $167,000 per year. Applicants should confirm the compensation details directly with the employer.
3. Is this a remote job?
Yes, the listing identifies the position as remote and full-time.
4. Which technologies are mentioned?
The job description specifically mentions dbt, LookML, dashboards, and AI agents.
5. What experience is required?
The supplied description does not specify a minimum number of years of experience or mandatory educational qualifications. Refer to the application page for the full criteria.
Disclaimer: This article is based on the supplied job listing. Verify the employer, salary, location eligibility, and complete job requirements on the application page before proceeding.