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Jobgether

Data Analyst (Remote - US)

Jobgether
United States · Full-time · Mid-Senior

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in the United States.

In this role, you will work with large and complex datasets to generate actionable insights that drive business decisions across product, marketing, and engineering teams. You will build dashboards, perform ad-hoc analyses, and translate technical data into clear, non-technical recommendations for stakeholders. Acting as a key analytical partner, you will influence strategy, improve processes, and enhance reporting capabilities. You will also support the development and optimization of semantic data layers, maintain data integrity, and help teams leverage data effectively in a collaborative, fast-paced environment.

Accountabilities

  • Build and maintain dashboards and reports for both internal and customer-facing teams using business intelligence tools
  • Perform ad-hoc analyses to answer key business questions and guide strategic decision-making
  • Collaborate with product, engineering, and marketing teams to ensure accurate data collection and inform ETL and schema design decisions
  • Use LookML or similar frameworks to define dimensions, aggregates, calculations, and data relationships in SQL databases
  • Investigate data integrity issues and propose solutions to maintain high-quality, reliable datasets
  • Provide documentation, training, and hands-on support to improve end-user understanding and adoption of analytical tools
  • Support administration and optimization of business intelligence software


Requirements

  • 3+ years of experience in data analysis, analytics, or a related field
  • Strong proficiency in SQL and experience querying large, relational datasets
  • Experience with web-based business intelligence tools such as Looker, Tableau, or Chartio
  • Understanding of conditional logic, programming language syntax, and data relationships
  • Excellent communication and collaboration skills, with the ability to explain complex data insights to non-technical stakeholders
  • Curiosity and experience (or interest) in exploring AI tools and data-driven experimentation


Benefits

  • Competitive base salary: $100,000 - $120,000 USD per year, with potential for commission, bonus, or other performance incentives
  • Equity opportunities to participate in company growth
  • Fully remote work with flexible schedules; occasional travel may be required (up to 10%)
  • Comprehensive health, dental, and vision insurance plans
  • Retirement savings plan options
  • Paid time off, holidays, and wellness programs
  • Professional development and training opportunities to support career growth

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team.

Thank you for your interest!

Key Skills

Ranked by relevance

ai sql data analysis ai tools tableau looker etl
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Posted
Nov 14, 2025
Type
Full-time
Level
Mid-Senior
Location
United States
Company
Jobgether

Industries

Non-profit Organizations Primary Secondary Education

Categories

Information Technology

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