Senior Associate, Data Analyst

Role Description

Ready to make an impact with data? As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered tools, you'll help drive smarter decisions and operational success.

• Build new, informative dashboards and enhance existing dashboards
• Enhance reporting capabilities by incorporating forecasting, trend analysis, and forward-looking performance indicators where applicable
• Partner with business stakeholders to gather requirements, translate business questions into analytical solutions, and ensure reporting outputs are actionable and aligned with business objectives
• Reconcile data from source to reporting presentation layer
• Analyze company metrics, both methodologies and calculations, and produce recommendations for management to standardize where needed
• Become SME on current and future data infrastructures
• Perform ad hoc data and reporting analyses
• Develop proposals for fully automated data and reporting solutions and present to management/stakeholders
• Support data ownership and governance activities for the Data & Analytics team, including data definition alignment, data quality rule creation, documentation, and issue resolution for reporting assets
• Support the ongoing Enterprise Data Warehouse development effort, inclusive of technical requirements analysis and user acceptance testing, as needed
• Present convincing arguments to improve business processes backed by sound data and analytical methods

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science, Finance/Economics or equivalent work experience
• Proven business experience in a reporting or analytics role for at least 5 years
• Experience building reports using modern Business Intelligence tools
• Experience using AI-enabled productivity or analytics tools to improve reporting, documentation, automation, or analytical workflows, inclusive of building skills, markdown files, and agents
• Fluency in SQL
• Financial Services experience

Requirements

• Master’s Degree in Data Science, Data Analytics, or Statistics
• Experience with Snowflake
• Consumer finance experience
• Advanced coding experience in using programming languages like Python, R, Spark, and Scala
• Experience using Sigma

Critical Competencies

• Experience working with complex data sets
• Understanding of loan amortization methods and schedules
• Naturally curious, challenges status quo
• Keen attention to detail, ability to resolve issues through root cause analysis
• Ability to manage multiple, competing priorities
• Excellent communication skills across various levels of the organization
• Self-directed, demonstrated ability to effectively work remotely

Working Conditions

Regular day job. Regular full-time office or remote work environment, primarily involving computer-based analytical, reporting, and stakeholder communication activities.