Data Analyst (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Intelligence, SQL, Excel, Google Sheets, BI Tools, Analytics Tools, Cloud-Based Data Warehouses, Snowflake, Communication, Analytical Skills, Problem-Solving, Storytelling, Healthcare, Fintech, Python

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 shape the data function of a fast-growing, innovative organization. You will work closely with leadership to analyze complex datasets across product, operations, finance, and customer behavior, providing actionable insights that drive strategic decision-making. The position is ideal for someone who thrives in a fast-paced, evolving environment, where data is central to optimizing processes and shaping business outcomes. You will build dashboards, create reports, and define KPIs, helping teams make data-informed decisions. This is a high-impact role with visibility across multiple departments and direct influence on organizational growth. Accountabilities: Own and perform internal data analysis across Product, Implementation, Sales, Finance, and other departments. Build dashboards and visualizations using tools such as Sigma, Looker, Power BI, and Snowflake. Analyze operational metrics, customer behavior, payments flow, and product usage to inform strategic decisions. Work closely with Product and Engineering teams to implement metrics tracking for new features. Support executive leadership with ad hoc reports and data-backed insights. Ensure data quality, consistency, and cleanliness across all internal tools and datasets. Develop processes and documentation to enable self-service data access as the organization scales. 4–6+ years of experience in data analysis, business intelligence, or a related field. Strong proficiency in SQL, Excel/Google Sheets, and BI/analytics tools. Experience with cloud-based data warehouses such as Snowflake. Ability to communicate technical insights clearly to non-technical stakeholders. Strong analytical, problem-solving, and storytelling skills. Comfortable working in a dynamic, fast-paced environment with evolving priorities. Bonus points for experience in healthcare, fintech, pharmacy technology, Python, R, or prior startup experience. Competitive salary range and potential bonus/commission Comprehensive healthcare, dental, and vision coverage 401(k) plan Career growth and development opportunities in an innovative environment Collaborative, dynamic, and inclusive workplace Fully remote work flexibility 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. 🎯 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 overlooked. The process is transparent, skills-based, and unbiased, focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, who then determines next steps such as interviews or additional assessments. Thank you for your interest! #LI-CL1

Responsibilities

The Data Analyst will perform internal data analysis across various departments and build dashboards and visualizations to inform strategic decisions. This role involves analyzing operational metrics and supporting executive leadership with data-backed insights.