Business Intelligence & Data Analyst Lead - Driving Operational Efficiency through Data-Driven Insights in a Remote-First Environment

Remote, USA Full-time
Unlock Your Potential as a Business Intelligence & Data Analyst Lead at Affirm Affirm is revolutionizing the financial industry by providing a more honest and friendly credit experience, empowering consumers to buy now and pay later without hidden fees or compounding interest. As a pioneer in the fintech space, Affirm is committed to fostering a culture of innovation, inclusivity, and continuous learning. We're now seeking a highly skilled and experienced Business Intelligence & Data Analyst Lead to join our Operations Strategy & Analytics team and drive operational efficiency through data-driven insights. About the Role As a Business Intelligence & Data Analyst Lead, you will play a pivotal role in shaping the future of Affirm's operations by leveraging your analytical expertise, technical skills, and business acumen to drive strategic decision-making. You will collaborate with cross-functional teams, including Product, Engineering, and Risk, to build scalable and robust data infrastructure, automate processes, and empower the operations organization to access and drive business insights. If you're passionate about using data to drive change and have a track record of delivering results in a fast-paced environment, we encourage you to apply. Key Responsibilities Build and maintain cross-functional relationships with Product, Engineering, and Risk teams to drive operational efficiency and effectiveness Own the roadmap to deliver scalable and robust data infrastructure and BI capabilities across all of operations Use technology to automate processes and tasks, improving operational efficiency and reducing manual errors Empower the operations organization to access and drive business insights through data-driven decision-making Maintain and build out a robust knowledge base and source of truth for all data and metrics Apply creative approaches and prototype predictive modeling and segmentation solutions to drive business growth Provide technical leadership and mentorship across operations, ensuring alignment with Affirm's overall technical strategy Maintain a solid understanding of Affirm's evolving data warehouse and provide technical guidance to stakeholders Essential Qualifications 5+ years of experience in an analytically-focused role, such as analytics, consulting, or finance Strong working knowledge of SQL and experience with Python or R Excellent interpersonal skills, with the ability to lead multi-functionally and influence external parties Ability to think creatively and critically, thriving in a fast-paced, dynamic, and often ambiguous work environment Passion for finding insights in data and driving change based on those insights Ability to communicate and influence both technical and non-technical audiences Preferred Qualifications Experience working in the fintech or financial services industry Knowledge of data visualization tools, such as Tableau or Power BI Experience with data warehousing and ETL processes Familiarity with machine learning algorithms and predictive modeling techniques Strong understanding of data governance and data quality principles Skills and Competencies To succeed in this role, you'll need to possess a unique blend of technical, business, and interpersonal skills. Some of the key competencies we're looking for include: Strong analytical and problem-solving skills, with the ability to drive insights from complex data sets Technical expertise in SQL, Python, and/or R, with the ability to apply these skills to drive business outcomes Excellent communication and interpersonal skills, with the ability to influence stakeholders across the organization Ability to think creatively and critically, with a passion for driving innovation and improvement Strong business acumen, with the ability to understand the financial implications of your decisions Career Growth Opportunities and Learning Benefits Affirm is committed to providing its employees with opportunities for growth and development. As a Business Intelligence & Data Analyst Lead, you'll have the chance to: Develop your technical skills through ongoing training and mentorship Take on increasingly complex projects and responsibilities, driving business outcomes and growth Collaborate with cross-functional teams to drive innovation and improvement Participate in industry conferences and events, staying up-to-date on the latest trends and best practices Work Environment and Company Culture Affirm is a remote-first company, offering employees the flexibility to work from anywhere in the U.S. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco, and Toronto remain operational and accessible for anyone to use on a voluntary basis. We're committed to fostering a culture of inclusivity, diversity, and continuous learning, with a focus on: People-first values, prioritizing the well-being and growth of our employees Diversity and inclusion, striving to create a workplace that's welcoming and inclusive for all Innovation and experimentation, encouraging employees to think creatively and drive new ideas Compensation, Perks, and Benefits Affirm offers a competitive salary and benefits package, including: A comprehensive health insurance plan Retirement savings plan with company match Flexible work arrangements and remote work options Ongoing training and development opportunities Access to cutting-edge technology and tools Conclusion If you're a motivated and experienced Business Intelligence & Data Analyst Lead looking to drive operational efficiency through data-driven insights, we encourage you to apply for this exciting opportunity at Affirm. As a remote-first company, we offer the flexibility to work from anywhere in the U.S., combined with a culture of innovation, inclusivity, and continuous learning. Don't miss this chance to join our team and shape the future of financial services. Ready to take the next step? We look forward to receiving your application! Apply for this job
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