Data Analyst - Consumer/Small Business

Location: Remote or Hybrid

SUMMARY: The Data Analyst is responsible for working across various business lines within the company to develop meaningful analyses with actionable insights and quantifiable predictions. Helps visualize results in an informative, business friendly fashion to assist in objective, reliable and strategic decision-making. The Data Analyst will work in an agile fast-paced, team environment and be able to work on ad-hoc analyses and strategic projects in addition to his/her expected responsibilities.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Perform client profiling, behavior analysis and segmentation in support of Customer Relationship Management (CRM) strategy development and impact assessment.
• Build data driven models to evaluate and increase product profitability
• Develop benchmarks, robust reporting, interactive dashboards and key metrics across business channels to optimize profitability, revenue and sales growth.
• Leverage cloud-based technologies like Amazon Web Services (AWS) in order to extract, transform, and visualize data
• Leverage business intelligence applications like OBIEE, Tableau and Power BI to develop and validate analytics.
• Implement modeling solutions in support of new client acquisition, cross-selling and retention programs.
• Perform and manage all the end-to-end steps required for analyses including requirements gathering, methodology development, data pulling, data processing, analysis, insight formulation and results delivery.
• Ability to work effectively with data science and engineering partners to meet the data needs of the business, translating business needs into analytical requirements
• Prepare reports and exhibits, as needed; leverage story-telling skills to deliver key insights that are clear, concise and actionable.
• Run advanced analytics such as logistical regression models, neural networks, decision tress, etc.
• Collaborate with team members in execution of programs as needed
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

EDUCATION

Bachelor's Degree in a related field preferred

EXPERIENCE

• 2+ years of work and project experience combined, preferably for a company in the financial services industry