Senior Data Analyst - Risk & Compliance
About the Role
Lithic is seeking a Senior Data Analyst to join our Risk & Compliance team. This is a full-time Senior Data Analyst remote position, allowing you to work from anywhere in the USA. As a Senior Data Analyst, you will play a crucial role in enhancing our risk management strategies and ensuring compliance with industry regulations.
What You'll Do
- Analyze complex datasets to identify trends and insights that inform risk management decisions.
- Develop and maintain dashboards and reports that track compliance metrics.
- Collaborate with cross-functional teams to ensure data integrity and compliance with regulatory requirements.
- Utilize statistical methods and data modeling techniques to assess risk factors.
- Provide actionable recommendations based on data analysis to improve risk mitigation strategies.
Requirements
- 5+ years of experience as a Data Analyst, specifically in risk and compliance.
- Proficiency in SQL and data visualization tools such as Tableau or Power BI.
- Strong analytical skills with the ability to interpret complex data sets.
- Experience with statistical analysis and risk assessment methodologies.
- Excellent communication skills to present findings to stakeholders.
Nice to Have
- Experience in the FinTech industry.
- Familiarity with regulatory frameworks relevant to financial services.
- Knowledge of programming languages such as Python or R for data analysis.
What We Offer
- Competitive salary ranging from $130,000 to $165,000.
- Flexible remote work environment.
- Comprehensive health benefits and wellness programs.
- Opportunities for professional development and career advancement.
- A collaborative and innovative team culture.
This Senior Data Analyst position at Lithic offers a competitive salary and the flexibility of remote work. Ideal for experienced analysts in the FinTech sector.
Who Will Succeed Here
Proficient in SQL and experienced in data manipulation for risk assessment, with a strong ability to create complex queries that extract meaningful insights from large datasets.
Demonstrates a high level of autonomy and self-motivation in a remote work environment, effectively managing time and priorities to deliver insights on tight deadlines.
Possesses a strong analytical mindset and statistical knowledge, with hands-on experience using Python and R for predictive modeling and statistical analysis related to risk management.
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