Jobgether
Data QA Associate (Finance)
TLDR
Transform raw financial and transactional data into structured, decision-ready insights while ensuring data accuracy and consistency across systems.
Accountabilities:
- Perform data extraction, cleaning, labeling, and validation to ensure accuracy and consistency of financial and transactional datasets.
- Analyze merchant and vendor data trends, including categorization, classification, and identification of irregularities or anomalies.
- Investigate data inconsistencies such as unexpected spikes or drops in transaction volumes and ensure dataset stability.
- Work with proprietary platforms and internal tools to process and refine large-scale datasets efficiently.
- Collaborate with global engineering, analytics, and operations teams to maintain data quality and consistency across systems.
- Respond to internal and external data-related queries in a timely and accurate manner.
- Ensure compliance with data security, confidentiality, and internal quality standards.
- Bachelor’s degree in Computer Science, Statistics, Business Analytics, Finance, or a related field preferred.
- 0–2 years of experience in data quality, data analysis, or QA-related roles.
- Strong attention to detail with excellent analytical and problem-solving skills.
- Experience with data cleaning, tagging, or regex-based processing is highly desirable.
- Familiarity with Excel; SQL or Python is a plus for data handling and analysis.
- Understanding of accounting principles and financial data classification is a strong advantage.
- Exposure to ERP systems such as NetSuite, QuickBooks (QBO), SAP, or similar tools is preferred.
- Ability to manage repetitive, high-volume tasks with consistency and accuracy.
- Strong communication skills in English and ability to collaborate across global, remote teams.
- Ability to work independently while managing multiple parallel workflows.
- Competitive compensation package based on experience and skills.
- Flexible work arrangements with remote-first setup.
- Exposure to large-scale financial and e-commerce datasets used for strategic decision-making.
- Learning and development opportunities in data operations, analytics, and financial data systems.
- Inclusive, high-growth environment with strong emphasis on ownership and skill development.
- Opportunity for career progression, including potential leadership responsibilities over time.
- Collaboration with global teams across engineering, analytics, and operations.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Learning and development opportunities in data operations, analytics, and financial data systems.
Remote-Friendly
Flexible work arrangements with remote-first setup.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Quality Assurance (QA) Associate