FinTech Leader FinFit Seeks Remote Senior Data Analyst to Drive Business Insights

FinFit, a fast-growing fintech company, is seeking a highly analytical and strategic Senior Data Analyst to join our team in a fully remote capacity.

In this role, you’ll tackle critical business projects, ranging from executive reporting and fraud investigations to machine learning model evaluation and performance analysis. You’ll collaborate with various stakeholders to deliver data-driven insights that inform business strategy and drive success.

This remote position requires 10-20 years of experience, strong analytical skills, and proficiency in SQL, Power BI, and/or SSRS.

• Company: FinFit
• Location: Remote, USA
• Salary: Not Specified

Drive Data-Driven Decisions: Be a Remote Senior Data Analyst at FinFit

Are you a seasoned data analyst with a passion for uncovering insights that fuel business growth and innovation? FinFit, a leading fintech company, is seeking a Senior Data Analyst to join our team in a fully remote capacity. In this challenging and rewarding role, you’ll tackle a wide range of projects, collaborate with cross-functional teams, and contribute to the success of our data-driven organization.

About FinFit:

FinFit is a fast-growing fintech company that leverages data to improve business performance, optimize efficiency, and manage risk. We’re passionate about using data to drive strategic decision-making and create innovative solutions that empower our clients and partners.

About the Role:

As a Senior Data Analyst at FinFit, you’ll be a key player in our data-driven culture, providing analytical expertise and insights to support various business units and initiatives. You’ll work on a diverse range of projects, from executive reporting and fraud investigations to machine learning model evaluation and performance analysis. Your ability to analyze complex data, identify trends, and communicate findings effectively will be essential in this role.

This is a fully remote position, offering you the flexibility to work from anywhere in the United States. You’ll enjoy a collaborative team environment, a competitive salary, and the opportunity to contribute to a company that’s at the forefront of the fintech industry.

Key Responsibilities:

• Management Reporting & Business Insights:
  • Develop self-service analytical reports and interactive dashboards using Power BI/SSRS.
  • Maintain decision-support solutions to inform strategy and business planning.
• Fraud Analysis & Risk Management:
  • Conduct daily fraud reviews and support fraud investigations.
  • Collaborate with business units on fraud-related inquiries.
• KPI Reporting & Executive Prep:
  • Support the development of management KPI reports.
  • Collaborate on the preparation for executive meetings.
• Data Model Evaluation & Machine Learning:
  • Collaborate with product and underwriting teams to improve machine learning models.
  • Participate in the evaluation and optimization of data models.
  • Conduct data drift monitoring and address operational inconsistencies.
• Cross-Functional Support & Collaboration:
  • Assist in vendor due diligence and understanding anticipated business volumes.
  • Help business units translate business problems into mathematical models, spreadsheets, and visualizations.
• Executive-Level Presentations & Stakeholder Engagement:
  • Present complex data and insights to cross-functional leadership teams.
  • Facilitate the integration of data science methodologies across various business use cases.
• Ad Hoc Business Analysis:
  • Fulfill ad hoc business analytic requests, adhering to internal support and project process standards.

Qualifications/Skills:

• Education: Undergraduate Degree in Business, Accounting, Finance, Computer Science, Engineering, Mathematics, Statistics, or a related field. Master’s degree preferred.
• Experience: 10-20 years of relevant experience, preferably in business decision support, data science, or a related field, ideally within fintech or financial services.
• Technical Skills:
  • Highly proficient in SQL.
  • Experience working with Power BI, SSRS, or similar tools.
  • Familiarity with machine learning techniques.
  • Strong data analysis, data mining, and data visualization skills.
• Soft Skills:
  • Strong problem-solving skills.
  • Ability to work quickly with large datasets.
  • Experience working cross-functionally.
  • Excellent written and verbal communication skills.
  • High initiative and ability to manage multiple tasks.

Benefits & Perks:

• Comprehensive Healthcare: Medical, dental, and vision coverage.
• Paid Time Off: Generous PTO and paid parental leave.
• Wellness Bundle: Access to wellness resources and programs.
• Remote-First Culture: Virtual happy hours, team meetings, and no-meeting blocks.
• Retirement: 401(k) with company match.

Quick Tips for Applicants: Stand Out as the Ideal Senior Data Analyst

1. Showcase Your Analytical Expertise:

• Go Beyond the Basics: Don’t just list your experience with data analysis tools and techniques. Instead, provide specific examples of projects where you’ve applied your skills to solve complex business problems, uncover insights, and drive data-driven decisions.
• Quantify Your Impact: Whenever possible, quantify the impact of your work. For example, did your analysis lead to a specific percentage increase in efficiency or cost savings? Did your insights help improve customer satisfaction or reduce fraud losses?
• Highlight Your Advanced Skills: Showcase your proficiency in advanced analytical techniques, such as statistical modeling, machine learning, data mining, and predictive modeling. Share examples of how you’ve applied these methods to real-world datasets and the challenges you overcame.

2. Demonstrate Your Business Acumen and Strategic Thinking:

• Connect Data to Business Goals: FinFit values data analysts who understand how to translate data insights into actionable business strategies. Share examples of how you’ve used data to identify business opportunities, optimize processes, or inform strategic decision-making.
• Focus on Impact: Highlight your ability to connect your analytical work to tangible business outcomes. Demonstrate how your insights have led to improvements in efficiency, profitability, or risk management.
• Think Strategically: Showcase your ability to think beyond the immediate task and consider the broader implications of your analysis for the company’s overall goals and objectives.

3. Emphasize Your Communication and Collaboration Skills:

• Effective Communication: Excellent communication is essential for conveying complex data insights to both technical and non-technical audiences. Highlight your ability to explain your findings clearly and concisely, both verbally and in writing, tailoring your communication style to the specific audience.
• Collaboration and Teamwork: This role requires working closely with various stakeholders, including business units, executives, and external partners. Showcase your ability to build strong relationships, foster collaboration, and contribute to a positive and productive team environment.
• Presentation Skills: Demonstrate your ability to present data and insights effectively to executive leadership and other stakeholders. Highlight any experience you have with creating compelling presentations that tell a clear and concise story with data.

4. Highlight Your Technical Proficiency and Data Management Skills:

• Technical Expertise: FinFit values proficiency in SQL, Power BI, SSRS, and other data analysis tools. Showcase your expertise in these tools and any other relevant technologies you’ve used, such as data mining software or machine learning frameworks.
• Data Integrity: Demonstrate your ability to work with large datasets, ensuring data quality, accuracy, and consistency. Highlight your experience with data cleaning, validation, and transformation techniques.
• Data Modeling: If you have experience with data modeling or building data pipelines, be sure to mention it. FinFit is looking for data analysts who can not only analyze data but also understand how data is structured and organized.

5. Express Your Passion for Fintech and FinFit’s Mission:

• Connect with the Mission: FinFit is dedicated to using data-driven insights to improve business performance and manage risk in the financial technology industry. In your cover letter, convey your enthusiasm for this mission and your desire to contribute to their impactful work.
• Industry Knowledge: Showcase your understanding of the fintech landscape, including the challenges and opportunities facing the industry. Highlight any relevant experience or personal interests that demonstrate your passion for fintech.
• Culture Fit: FinFit values a collaborative, inclusive, and remote-first culture. Express your alignment with these values and your desire to contribute to a positive and supportive work environment.

Ready to find a career with purpose?