Data Analyst (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

125000.0

Posted On

24 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, SQL, Data Quality, Process Improvement, Automated Processes, Financial Data, Root Cause Analysis, Exploratory Data Analysis, Applied Statistics, Linux, Problem Solving, Collaboration, Data Pipelines, Technical Skills, Machine Learning, Finance

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 the United States. This role offers an exciting opportunity to work with critical datasets that power production trading algorithms in a high-performing, data-driven environment. The Data Analyst will be responsible for maintaining the integrity and reliability of mission-critical financial data, curating and onboarding new datasets, and developing automated processes to scale data pipelines. You will collaborate closely with research staff and engineers to drive improvements in data quality and ensure continuous operation of production systems. The position provides a mix of hands-on technical work, process optimization, and problem-solving in a collaborative team environment. This is ideal for individuals passionate about data, analytics, and programming, who thrive in an intellectually stimulating setting where their contributions directly impact business outcomes. Accountabilities: · Share an on-call rotation to monitor and maintain production-critical systems for continuous operation. · Perform manual steps and develop automated processes to ensure the completeness and accuracy of large financial datasets. · Collaborate with research staff to curate, onboard, and integrate new and existing datasets. · Drive continuous improvements to data quality procedures and develop standardized metrics for monitoring and reporting. · Design and implement systematic, scalable, and reliable processes for data-consumption pipelines. · Analyze data issues, identify root causes, and recommend solutions to improve system performance and reliability. · Degree in a technical field (computer science, data analytics, or related). · Coursework or relevant training in data analytics, programming, or computing systems. · Proven problem-solving and analytical abilities, including pattern detection, root cause analysis, and issue resolution. · Experience with Python and libraries such as pandas, as well as SQL and relational database systems. · Interest in programming, data analysis, and process improvement. · Preferred: hands-on experience with Linux, exploratory data analysis, applied statistics, and software development processes. · Competitive base salary: $115,000 – $125,000 (depending on experience and location). · Comprehensive medical, dental, and vision coverage. · Life and AD&D insurance. · Paid time off: 20 days plus 9 sick days. · 401(k) plan with company match. · Opportunities to contribute to process improvements and work alongside experienced professionals in machine learning and finance. · Collaborative, intellectually stimulating, and supportive 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, 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, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Data Analyst will maintain the integrity and reliability of financial data, curate and onboard new datasets, and develop automated processes for data pipelines. Collaboration with research staff and engineers is essential to drive improvements in data quality and ensure continuous operation of production systems.