Splash Financial - Operations Data Analyst
Requirements
• 3+ years of experience in a Data Analyst or Business Analyst role. • Strong SQL skills and experience building and maintaining data models. • Proficiency with BI tools (e.g., Sigma, Tableau, or Power BI). • Strong business acumen and the ability to translate data into actionable recommendations. • Ability to manage your own workload and deliver projects on time with minimal direction. • Experience working with AI/ML tools or implementing AI-driven solutions. • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or a related field (or equivalent experience). • Experience in fintech, financial services, or a high-growth environment. • Familiarity with Python or another programming language for data analysis. • Experience with Salesforce Service Cloud. • Master's degree in a related field. • WHAT MAKES YOU STANDOUT: • Business-Minded: Connects data to business impact, not just analysis. • AI & Analytics Curiosity: Excited to explore LLMs, predictive modeling, and new tools, and quick to put them to work. • Operationally Grounded: Uses data to improve processes and outcomes. • Clear Communicator: Turns data into clear, actionable stories for teams and leaders. • Collaborative: Builds trust and works well across Ops, Product, and other teams. • Ownership: Proactive self-starter who raises concerns early and follows through. • Adaptability: Shifts focus quickly as priorities change while keeping existing work on track. • Member-Centric: Always ties insights back to improving customer experience.
Responsibilities
• Analyze servicing and collections performance along with application funnels and contact-center metrics. • Build and maintain automated reports and data files for our lending partners, investors, and vendors, working with your manager to map partner requirements to our data and deliver on time. • Maintain and extend data models in Snowflake and dbt, and support the dashboards Operations leaders use to run their teams. • Identify performance gaps, test hypotheses with data, and build the analysis behind business cases and recommendations to leadership. • Partner with data engineering, product, and business teams to scope requests and deliver solutions.
Benefits
• The base salary range for this role is $61,000 to $97,000 annually, based on market data and internal compensation practices. Final compensation will be determined by factors such as location, experience, and skill level. • SPLASHERS ENJOY: • SPLASHERS ENJOY: • Fully remote work freedom (for most roles) • Competitive salary packages • Flexible PTO + 9 company holidays • Equity: Share in our start-up success • Comprehensive and affordable insurance benefits • Paid parental leave for both caregivers • Essential modern equipment to get the job done • Fully paid Claude subscription to supercharge your work • 401(k) for your future savings • Quarterly meet-ups: In person & virtual fun • Awesome Splash swag to flaunt your team spirit
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