Senior Manager of Data Analytics, Current

• We are seeking a seasoned analytics leader with a proven track record in guiding data and business analytics strategies and managing high-performing analytics teams
• 10+ years of experience in data analytics, preferably in fintech, banking, or customer-centric industries
• 3+ years of experience managing and leading analytics teams and strategies
• Strong proficiency in SQL and Python for data analysis and automation
• Strong hands-on experience in managing multiple analytical workstreams
• Proficient in designing, analyzing, and interpreting experiments
• Well-versed in customer segmentation and deep-dive behavioral analytics
• Proven ability to uncover revenue and growth opportunities through data insights
• Track record of improving customer conversion and retention through data-driven product strategies
• Experience in rolling out new products/features and tracking their impact
• Skilled in developing compelling dashboards and reports to communicate insights effectively
• Strong cross-functional collaboration with Product, Marketing, Finance, and Engineering teams
• Advanced analytics capabilities, including statistical inference, significance testing, and forecasting methods
• Exposure to machine learning modeling and related workflows

Desirable

• As the Senior Manager, Data Analytics within the Banking team, you will play a pivotal role in driving business growth and profitability across the entire product lifecycle and within the broader business P&L
• You will be a key member of the Banking leadership team, leveraging data to inform strategic decisions, optimize operations, and identify new revenue opportunities
• This role will lead a team of talented analysts, working cross-functionally to leverage data to successfully launch new products, scale existing offerings, and fuel business growth
• By deeply understanding customer behavior, this role will ensure a seamless user experience and inform strategies that enhance customer value and drive business success
• In this hands-on leadership role, you will drive the development and execution of analytical projects and processes
• You will also be responsible for developing the competencies and talent strategies of your team to ensure their ongoing success and the overall success of the Banking department
• Your leadership in data-driven decision-making, business intelligence, and analytics infrastructure will be instrumental in shaping the future of financial products and services at Current
• Lead and mentor a team of data analysts, fostering a culture of analytical excellence
• Devise and implement analytics strategies to enhance banking performance, revenue, and customer growth
• Create and manage data pipelines, dashboards, and reports to track key performance indicators (KPIs) for the Banking team and ensure efficient dissemination of the KPIs
• Deliver timely insights, identify key business performance drivers, and uncover untapped growth opportunities
• Enable the development and implementation of new customer treatment models, incentives, and pricing strategies to optimize P&L growth
• Conduct in-depth analyses using internal and third-party data to identify trends, discover opportunities, and elevate customer experience
• Partner with stakeholders across Leadership, Product, Credit Risk and Engineering teams to define success metrics, analyze trends, and provide actionable recommendations
• Partner with cross-functional teams, including Product, Engineering, Risk, and Customer Success, to conceptualize and launch new products and features
• Design and Implement Experiments, customer segmentation, and personalization strategies and help establish frameworks and improve key processes
• Review analytics initiatives on the banking and cross-functional teams and provide actionable feedback and recommendations
• Deliver actionable insights to senior leadership on banking performance and key initiatives
• Collaborate with Finance on business case analysis, revenue forecasting, and customer growth projections
• Uphold data integrity, accuracy, and governance across the banking analytics ecosystem
• Effectively manage team resources and personal bandwidth to prioritize and deliver high-quality analytical projects