•Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
•Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
•Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
•Develop and maintain operational dashboards to assist business functions
•Partner with cross functional teams to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations
•Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies.
•Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
•Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
•Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment
Required qualifications, capabilities, and skills
•Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis for financial products
•4-6 years of applied experience with SQL, Python, Alteryx, and Tableau
•Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
•Strong critical and analytical thinking with attention to detail
•Capable of defining metrics, evaluating results, and drawing business insights
•Excellent written and verbal communication skills
•Familiarity with modern analytics platforms and data visualization tools
•Able to multi-task and prioritize, with strong organizational and problem-solving skills
•Demonstrated knowledge of analytics platforms and technical processes within a technical discipline
•Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products
•Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences
