This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Risk and Operational Performance in United States.
This role offers an exciting opportunity for a data-driven professional to influence decision-making and operational efficiency across core business functions. The Data Analyst will leverage large, complex datasets to uncover trends, identify root causes, and deliver actionable insights that improve risk management, fraud prevention, and operational performance. You will design and maintain data pipelines, develop dashboards, and collaborate with cross-functional teams including engineers, analysts, and product managers. The role requires a balance of technical expertise, strategic thinking, and strong communication skills to translate data into clear recommendations. You will be directly contributing to business performance while supporting experimentation, machine learning initiatives, and continuous optimization of operational systems. This fully remote position encourages proactive ownership and offers the chance to work in a high-growth, fast-paced environment.
Accountabilities:
- Act as a trusted business partner to operational teams, identifying trends, inefficiencies, and opportunities for performance improvement.
- Build, maintain, and optimize datasets and pipelines using tools such as Airflow, Python, and dbt.
- Design dashboards, metrics, and reports to provide actionable insights for fraud, funding, risk, and support teams.
- Conduct deep analyses of complex logs and datasets to inform scalable data models, reporting, analytics, and ML initiatives.
- Develop and automate key performance indicator reporting across operational teams.
- Collaborate on cross-functional projects with analysts, engineers, and product teams to support data-driven decision-making.
- Experiment, test hypotheses, and translate insights into actionable recommendations to improve operational outcomes.
Requirements:
- 5+ years of experience in data analysis and data management, ideally in fintech or high-growth environments.
- Strong expertise in SQL and hands-on experience with Python for data manipulation and analysis.
- Experience using dbt (data build tool) to model and organize data for reporting and decision-making.
- Demonstrated ability to set up and manage data pipelines with strong knowledge of data workflow orchestration.
- Experience creating clear, intuitive dashboards and visualizations to communicate complex insights.
- Ability to work closely with fraud, funding, finance, and customer support teams to optimize operational performance.
- Strong communicator, able to explain complex data concepts to both technical and non-technical stakeholders.
- Bachelor’s degree or equivalent in analytics, software engineering, economics, or a related field.
- Fluency in English and based in the U.S. or Canada.
Benefits:
- Competitive annual salary range ($96K – $192K) with additional bonus and equity opportunities.
- Comprehensive medical, dental, and vision coverage.
- Retirement plan options (401k) with matching contributions.
- Wellness allowance and professional development support.
- Fully remote work environment with flexibility to manage work-life balance.
- Opportunities to work with innovative data solutions and contribute to organizational strategy.
- Inclusive, merit-based work culture that values diversity, equity, and transparency.
Why Apply Through Jobgether?
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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