Data Analyst (Remote) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Business Intelligence, Data Engineering, Data Modeling, ETL Processes, Collaboration, Communication, Data Quality, Dashboard Development, CRM Systems, B2B Analytics, Ownership Mindset, AI Projects, ML Projects, Documentation

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in United States. This role offers the opportunity to drive data-informed decision-making across multiple business functions. The Data Analyst will design and maintain dashboards, develop data models, and deliver actionable insights to stakeholders across product, finance, marketing, and sales teams. You will own projects to ensure seamless access to reliable data and help shape internal analytics processes. This position emphasizes collaboration, technical expertise, and creativity in solving complex data challenges. You will work in a dynamic, fast-paced environment where your contributions directly impact business outcomes and help scale data capabilities across the organization. Accountabilities: Build, enhance, and maintain dashboards with a focus on accuracy, clarity, and user experience. Transform raw data into actionable insights using modern data tools and ETL processes. Collaborate with cross-functional teams to understand objectives and translate them into data-driven solutions. Define, track, and instrument core business metrics such as ROI, product adoption, customer lifecycle, and financial performance. Ensure data quality, reliability, and consistency through testing, version control, and thorough documentation. Lead initiatives to enable low-friction, self-service access to data for stakeholders. 3+ years of experience in analytics, business intelligence, or data engineering roles. Strong SQL skills for data transformation, analysis, and reporting. Experience with modern BI platforms (e.g., Sigma, Hex) and data modeling. Familiarity with CRM/CDP systems and B2B go-to-market analytics. Excellent communication skills and ability to work collaboratively with cross-functional teams. Strong ownership mindset with the ability to define and implement new analytics practices. Preferred: experience with tools like dbt, Airbyte, BigQuery, and cloud-based data platforms. Competitive compensation and meaningful equity grants. 100% coverage of medical, dental, and vision insurance for employees and dependents. Generous Paid Time Off (PTO) policy, including a company-wide Winter Break. Paid parental leave. Company-facilitated 401(k) plan. Exposure to cutting-edge AI and ML projects with opportunities for learning and networking. Collaborative and inclusive work environment. 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, the top 3 candidates with the highest match are automatically shortlisted. 🧠 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 shortlisted, your profile is shared with the hiring company, who will manage interviews and next steps. Thank you for your interest! #LI-CL1

Responsibilities

The Data Analyst will design and maintain dashboards, develop data models, and deliver actionable insights to stakeholders across various teams. This role emphasizes collaboration and technical expertise to solve complex data challenges.